Technology in business communication is the set of tools people use to write, send, share and answer messages at work. That includes email, chat apps, video meetings, shared documents, social media and, more and more, AI writing assistants. These tools let a message reach anyone, anywhere, in seconds. They also let a careless message do damage just as fast, so picking the right tool matters almost as much as what you say.

This guide is for students learning to communicate at work and for the instructors who teach them. It covers what technology does for a business communicator, ten tools you’ll meet on the job, the benefits and the risks, how AI is changing the work and how to choose a channel. The last section has classroom activities.

What is the role of technology in business communication?

Technology does four jobs for a business communicator:

• It closes distance. A team spread across three time zones can work on one document, and a customer can reach a company at midnight.
• It speeds things up. A question that once waited for a memo or a callback gets answered in minutes.
• It keeps a record. Email threads, chat history and shared files can be searched months later, which helps with accountability and helps new people catch up.
• It helps produce the message. Spell checkers, grammar tools, transcription, translation and now generative AI all take part in writing and editing.

What technology can’t do is decide what to say, whom to say it to or how it will land. That judgment still belongs to the person sending the message, and it’s the part employers notice most.

10 examples of communication technology at work

Most workplaces use some mix of these. The last column lists what tends to go wrong.

What are the advantages of technology in business communication?

• Messages arrive instantly, so a quick back-and-forth can settle in minutes what used to take days.
• People don’t have to be in the same room, or awake at the same time, to work together. Email and shared documents let each person respond during their own working hours.
• Decisions, approvals and files stay searchable, which cuts down on arguments about who said what.
• Several people can edit, comment on and approve the same document without emailing versions back and forth.
• Charts, images, video and links carry information that plain text can’t.
• Captions, transcripts, screen readers and translation tools make messages usable for people with disabilities and for people working in a second language.
• A video call costs far less than a trip, and a well-kept intranet saves a lot of repeated emails.

What are the disadvantages and risks?

The features that make these tools useful also cause their biggest problems.

• Overload. Email, chat and notifications arrive all day, important messages get lost among them, and constant alerts make focused work harder.
• Lost tone. Text strips out voice and facial expression. A short reply meant to be efficient can read as cold or annoyed.
• Mistakes travel fast and last. A message sent to the wrong person, a careless post or a forwarded joke can’t be pulled back, and screenshots outlive deletions.
• Security and privacy. Phishing emails, weak passwords and confidential details pasted into the wrong app all put an organization at risk.
• AI errors. Generative AI can write smooth, confident text that’s wrong, made up or off in tone. If you send it without checking, the mistake carries your name.
• Uneven access. Not everyone has the same devices, connection or comfort with the tools, which can leave some people out of the conversation.

Most of these problems come from picking the wrong channel or sending too quickly. The next two sections deal with both.

How is AI changing business communication?

Generative AI tools can now draft emails, summarize long threads, take meeting notes, translate messages and suggest wording for different readers. In many workplaces they’re built straight into email, word processors and meeting software.

That shifts where a good communicator spends time. Less of the job is producing a first draft, and more of it is judging one. Someone still has to check the facts, cut the generic filler, fit the tone to the reader and decide whether the message should go out at all.

A few habits keep AI use safe:

• Read and edit every AI draft before it goes out, and check names, numbers and claims against a real source.
• Follow your organization’s rules about what can go into AI tools. Customer data and confidential plans usually can’t.
• Say when you’ve had AI help, wherever your employer or instructor expects it.
• Keep your own voice. Readers can often tell when a message was generated rather than written for them.

Instructors will find more in our guide to AI and technological transformation in business communication, which collects our articles on teaching AI in the course.

How do you choose the right communication technology?

Before you send anything, ask a few questions about the message:

• How urgent is it? An urgent problem calls for a phone call or a direct message, not an email that might sit unread until tomorrow.
• How complex or sensitive is it? Bad news, conflict and anything personal belong in a richer channel (in person, video or phone), where tone comes through and the other person can ask questions right away.
• Does it need a record? Approvals, agreements and instructions people will look up later belong in writing.
• How many people need it, and do they need to respond? A company-wide announcement works as an email or intranet post. A decision that needs discussion works better in a meeting.
• What does the reader prefer? Some clients only read email, and some teams live in chat. Messages get read when they go where people already are.

Communication researchers call this media richness. Richer channels carry more cues, such as voice, expression and instant feedback, so they suit complex or emotional messages. Leaner channels such as email and chat suit routine ones.

For more on the habits that make each tool work, see five tips for using communication technology effectively.

Which communication skills matter more because of technology?

The tools change every few years. The skills that make people good at using them change much more slowly:

• Writing clearly and briefly, since most work messages get read on a small screen between other tasks
• Reading tone in text, your own and other people’s
• Matching the channel to the message and the reader
• Digital etiquette: useful subject lines, sparing use of reply-all, respect for people’s time off
• Editing and fact-checking AI drafts
• Spotting phishing and protecting confidential information
• Speaking and presenting well on camera

How to teach technology in a business communication course

In our classes, we’ve watched students who can write a polished report freeze when asked whether bad news belongs in an email or a face-to-face conversation. One student told us she’d rather send three careful paragraphs than sit through thirty seconds of silence on a video call. That instinct is what the course has to train out of them: the channel that feels safest to the sender is often the worst one for the reader.

Students arrive knowing how to use most of these apps. What they usually haven’t practiced is choosing among them and adjusting their writing for each one. These activities work well for that:

• Channel triage. Give students ten workplace situations and have them pick a channel for each, with one sentence explaining why. The disagreements make the best discussion.
• One message, three channels. Students write the same announcement as an email, a chat post and talking points for a video call, then compare what had to change.
• Fix the AI draft. Hand out an AI-generated email with a factual error, a tone problem and some filler. Students revise it and explain each change.
• Failure analysis. Teams study a real case where a message or post went wrong and work out which channel or tone choice did the damage. Our list of 20 failures in business communication has cases to start with.
• Team rules. Project groups write a short agreement on which tool they’ll use for what, how fast they’ll reply and when they’ll meet live.

For ready-made materials, see the Bovée & Thill Toolkit for the AI-Integrated Classroom and our Resources page. Our own textbook, Business Communication Today, 16th Edition, covers AI in every chapter rather than in a single chapter at the end.

More for your classroom: Business Communication Teaching Resources collects free case studies, presentation guides and AI teaching ideas for business communication instructors.

Frequently asked questions

What are 10 examples of communication technology?

Email, instant messaging, video conferencing, phone and voicemail, shared documents, project management tools, intranets, social media, customer chat and chatbots, and generative AI assistants. The table above shows what each one is good for.

What are the 7 C’s of business communication?

Clear, concise, concrete, correct, coherent, complete and courteous. Some versions swap in “considerate” for one of them. Technology tests all seven. Chat makes it easy to be concise and easy to forget courtesy, and an AI draft can read smoothly without being correct.

What are the types of business communication?

Lists vary from book to book, so there’s no single official set of seven. The usual categories are internal communication (upward, downward and lateral, between peers), external communication with customers and partners, and formal versus informal communication. Many textbooks also sort it by form: written, oral, nonverbal and visual.

Is email still important in business?

Yes. Chat has taken over a lot of quick internal back-and-forth, but email is still the standard for outside contacts, formal requests and anything that needs a record.

Will AI replace business communication skills?

No. AI can produce a draft quickly, but a person still has to decide whether it’s accurate, right for the reader and worth sending. Those decisions are what a business communication course teaches.

The post Technology in Business Communication: Tools, Benefits, Risks and How to Teach It first appeared on Bovée & Thill Business Communication Blog.

                  

Five practical criteria for evaluating business communication textbooks: AI integration, workplace relevance, readability, digital practice, and human judgment.

Quick answer: How do you choose a business communication textbook?

Judge each finalist on five criteria: AI integration, workplace relevance, readability, digital practice, and human judgment. Pick the same chapter from every book on your shortlist, spend about 15 minutes testing it against each criterion, and score it from 1 to 5. That takes a little over an hour per book and tells you far more than a table of contents or a sales brochure.

This is the quick version, built for one instructor testing a sample chapter. If a committee is making a department-wide adoption decision, use the full method in Business Communication Textbooks Compared: six criteria, a 20-question checklist and a weighted scoring rubric.

Start somewhere other than the table of contents. Nearly every business communication textbook covers the same topics: audience analysis, routine and persuasive messages, reports, presentations, and employment messages. What separates them is how a chapter teaches, not what it lists. You can only see that by reading a chapter the way a student will.

The 5-point checklist at a glance

1. AI integration: Is AI part of the process, or a separate topic?

In the workplace your students are entering, AI shows up at every stage of communication: researching an audience, drafting, revising, designing visuals, and preparing presentations. A textbook that treats AI as a single chapter teaches it as a topic. A textbook that integrates it teaches it as part of the job.

Questions to ask:

• Does AI appear in the chapters on audience analysis, research, writing, revision, visuals, presentations, and job search, or only in one place?
• Are students asked to evaluate, correct, and take responsibility for AI-generated drafts?
• Does the book address accuracy, bias, privacy, and disclosure when using AI tools?

Red flag: AI coverage that is limited to a standalone chapter, a boxed feature, or academic-integrity warnings.

. A human-first AI workflow: plan for the audience, create a draft, evaluate accuracy and ethics, and refine with human judgment.

2. Workplace relevance: Do the examples lead to decisions?

Examples drawn from real organizations help students see that communication choices have consequences. The strongest examples don’t stop at “here is a good memo.” They show the situation, the options, the trade-offs, and what happened.

Questions to ask:

• Are the organizations real and recognizable, including startups, nonprofits, and global companies?
• Are the examples recent enough that students would recognize the context?
• Do cases ask students to make and defend a decision, or only to identify principles?

Red flag: Model messages presented without context, or case companies that are invented or noticeably dated.

3. Readability: Will your students actually read it?

A thorough textbook doesn’t help students who stop reading after two pages. Readability matters most in community college, online, hybrid, and multilingual classrooms, where students often read without an instructor nearby to explain.

Questions to ask:

• Are sections short, with headings that tell students what they’ll learn?
• Are key terms defined before they’re used?
• Do visuals explain ideas, or just decorate the page?

Try this: Read two pages aloud. If you stumble, students will too. Then give one page to a student and ask them to summarize it in two sentences.

Red flag: Long, unbroken pages, undefined jargon, and figures that repeat the text without adding meaning.

4. Digital practice: Does the platform help students improve?

Business communication is learned by doing, getting feedback, and revising. The digital platform that comes with a textbook should support that cycle, not just test recall.

Questions to ask:

• Do assignments give specific feedback that students can use to revise?
• Are there simulations or scenario-based activities, not only multiple-choice quizzes?
• Does the platform integrate with your LMS, and does it meet your campus accessibility requirements?
• Exactly which resources are included in the package your students will buy, and which cost extra?

Try this: Ask your publisher’s representative for a demo course and complete one assignment as a student would.

Red flag: A platform that is mostly a quiz bank, or essential tools that require a separate purchase.

A learning sequence that connects comprehension, practice, reflection, and transfer to workplace communication.

5. Human judgment: Does the book teach decisions AI can’t make?

As AI produces more first drafts, the skills that matter most are the human ones: critical thinking, ethical judgment, emotional intelligence, audience awareness, relationship building, leadership, and persuasion. Students need to learn not just how to produce a message, but when to question an AI suggestion and how to make a responsible choice.

Questions to ask:

• Do exercises include situations with no single right answer?
• Does the book teach students to weigh the needs of different stakeholders?
• Are ethics woven through the chapters, or isolated in one?

Red flag: Exercises that all have one correct answer, or a treatment of AI as neutral and always reliable.

How to run the comparison in about an hour per book

1. Shortlist two or three titles. Use the 10-title comparison to narrow the field by length, approach, and platform.
2. Request review access to both the text and the digital platform for each finalist.
3. Choose one chapter, such as persuasive messages, and read it in every book.
4. Score each criterion from 1 to 5, using the 15-minute tests in Table 1.
5. Weight the criteria for your course. An AI-focused course should weight criteria 1 and 5 most heavily. A fully online course should weight criterion 4. A course with many first-year or multilingual students should weight criterion 3.
6. Get a second opinion. Ask a colleague or a student to score one chapter independently and compare notes.

Example: Applying the checklist to Business Communication Today, 16th Edition

Here is how the checklist applies to one title. Because I co-author this book, read this as an example of using the checklist, not as an independent review. Apply the same tests to every book on your list.

• AI integration. Business Communication Today covers AI in every chapter. It connects AI to audience analysis, research, writing and revision, collaboration, digital and social media, visual communication, employment messages, presentations, and professional decisions, rather than treating AI as a separate unit.
• Workplace relevance. Examples come from major organizations, startups, nonprofits, and global brands, and they are used to move discussion beyond definitions to consequences, trade-offs, and professional action.
• Readability. The book aims to balance substantial coverage with explanations and activities suited to undergraduate, community college, online, and hybrid courses.
• Digital practice. MyLab Business Communication provides customizable assignments, assessments, simulations, and performance analytics. Bovée & Thill’s Teaching and Learning Accelerator adds AI-powered tools for building activities and realistic business scenarios. Confirm which resources are included in your Pearson package.
• Human judgment. The book emphasizes critical thinking, ethical decision-making, emotional intelligence, and audience awareness, including when to question an AI suggestion.

Excellence in Business Communication, 15th Edition, coming from Pearson in February 2027, takes a different approach built on NeuroOptimized Learning. The 10-title comparison explains how it differs.

Frequently asked questions about choosing a business communication textbook

What should I look for in a business communication textbook?

Evaluate five things: how deeply AI is integrated, how relevant the workplace examples are, how readable the text is for your students, how well the digital platform supports practice and revision, and how much the book develops human judgment. Also confirm alignment with your course outcomes, accessibility, and total cost to students.

How long does it take to evaluate a textbook properly?

About an hour to an hour and a half per book. Spend roughly 15 minutes testing the same chapter against each of the five criteria, plus time in the publisher’s demo course.

Do business communication textbooks cover AI?

Many discuss AI, but the depth and placement vary widely. Check whether AI appears across research, writing, presentations, collaboration, and ethical decision-making, or only in a single chapter.

Which business communication textbook is best for an AI-focused course?

Look for a book that integrates AI into every chapter and asks students to evaluate AI output, then test it with criteria 1 and 5 of this checklist. Business Communication Today, 16th Edition, which I co-author, is built that way, but the best fit depends on your course outcomes and students.

Should I choose a forthcoming edition?

A forthcoming edition may offer newer content and features. Before committing, verify the release date, examination-copy access, pricing, and which digital resources will be available when your term begins.

Where can I compare all the leading business communication textbooks?

See Business Communication Textbooks Compared: 10 Titles for 2026–2027, which lists the leading titles by author, publisher, and key features.

The bottom line

No single textbook is right for every course. The best choice is the one that does the most for your students, and you can only find that out by testing a real chapter, not by comparing feature lists. Score your finalists against these five criteria, weight them for your course, and let the evidence decide.

Related reading

• Business Communication Textbooks Compared: 10 Titles for 2026–2027
• NeuroOptimized Learning and the Neuroscience of Effective Instruction

The post How to Choose a Business Communication Textbook for the AI Era: A 5-Point Checklist first appeared on Bovée & Thill Business Communication Blog.

                  

The biggest business writing trends for 2027 start with AI. Artificial intelligence can draft emails, summarize reports, translate messages, and suggest revisions in seconds. But faster content production does not guarantee effective communication. As writing becomes easier to generate, judgment, empathy, originality, ethical reasoning, and trust become more valuable. For instructors, the challenge is to prepare students to make sound communication decisions in an AI-enabled workplace.

Excellence in Business Communication, 15th Edition (Pearson, forthcoming February 2027), integrates responsible AI use, employability skills, and NeuroOptimized Learning to address that challenge.

AI can support business writing, but professionals remain responsible for decisions and outcomes.

What Are the Most Important Business Writing Trends for 2027?

Key trends include AI collaboration, human judgment, original thought leadership, generative engine optimization (GEO), plain language, two-way messaging, information verification, accessible content, multimodal communication, and retention-focused education. The 15 trends below connect those changes to the new edition.

1. AI Becomes a Writing Partner

Professionals increasingly collaborate with AI during situation analysis, research, organization, drafting, and revision—not merely to generate first drafts. Human direction and accountability remain essential.

How EBC15 responds: Chapters 1, 3, and 6 explain prompting, AI evaluation, and AI as advisor, collaborator, agent, and writing partner.

2. Human Judgment Commands a Premium

When competent prose can be generated instantly, deciding what to say, why it matters, and whether it is appropriate becomes the distinguishing skill.

How EBC15 responds: Human-First Communication activities in every chapter emphasize empathy, ethical reasoning, and professional judgment.

Human judgment brings together accuracy, ethics, audience awareness, tone, and impact.

3. Original Thought Leadership Stands Out

Organizations need original research, firsthand examples, expert interviews, and defensible points of view rather than interchangeable AI-generated commentary.

How EBC15 responds: Chapters 11–13 develop persuasive arguments, credible research, reports, and proposals.

4. Writers Address AI-Powered Discovery

Generative Engine Optimization encourages clear structure, precise definitions, identifiable sources, and useful answers that AI-powered discovery systems can interpret. No technique guarantees citation.

How EBC15 responds: Chapters 5, 7, 8, and 12 build foundational skills in organization, content design, digital publishing, and verification.

5. Plain Language Becomes a Strategic Advantage

Readers facing high information volume value direct wording, clear structure, and concise explanations. AI drafts often need editing to remove vague or inflated prose.

How EBC15 responds: Chapters 5–7 teach planning, audience-centered style, revision, and content design; the edition itself has been extensively streamlined.

6. Communication Failures Become Costlier

Ambiguous responsibilities, unclear deadlines, and misleading information cause rework, delays, and damaged relationships. Exact dollar estimates vary by study and methodology.

How EBC15 responds: On the Job simulations and more than 300 new questions, activities, and cases connect message quality to business outcomes.

7. Organizations Re-Humanize Messages

A polished automated response can still feel indifferent. Employees and customers need context, empathy, transparency, and genuine consideration.

How EBC15 responds: Chapters 2, 6, 9, and 10 emphasize listening, audience sensitivity, humanizing AI drafts, and delivering difficult news.

8. Two-Way Messaging Replaces Broadcast-Only Communication

Customers and employees expect dialogue, timely answers, clarification, and clear next steps rather than announcements with no path to resolution.

How EBC15 responds: Chapter 8 has been rebuilt around durable digital communication principles, conversational messaging, and channel choice.

9. AI Agents Enter Communication Workflows

More autonomous systems can coordinate sequences of tasks, raising new questions about access, approvals, privacy, and accountability.

How EBC15 responds: Chapter 3 distinguishes advisor, collaborator, and agent roles; Chapter 1 covers risks; Appendix D provides practical guardrails.

AI-supported workflows require deliberate human review at every consequential stage.

10. Verification Becomes a Core Writing Skill

Fluent AI output can contain invented citations, misleading summaries, or unsupported conclusions. Professionals must trace consequential claims to evidence.

How EBC15 responds: Chapters 1 and 12 teach evaluation and verification; Chapter 13 extends ethical scrutiny to AI-generated visuals.

11. Accessibility Shapes Content Design

Business messages must work across devices and for audiences with varied language, cognitive, sensory, and physical needs.

How EBC15 responds: Chapters 4, 7, and 13 address inclusive communication, accessibility, and visual design.

12. Communication Becomes Multimodal

Reports, presentations, and customer interactions increasingly combine text, charts, video, audio, and interactive media. The medium must serve the purpose.

How EBC15 responds: Chapters 5, 7, 13, and 14 teach media selection, document design, visuals, and hybrid presentations.

13. Cognitive Overload Demands Better Writing

More messages do not mean more understanding. Effective writers chunk information, prioritize key points, and reduce avoidable mental effort.

How EBC15 responds: Chapter 7 adds cognitive load as a revision criterion; NeuroOptimized Learning applies structured, accessible presentation throughout.

14. Employers Seek Demonstrable Skills

Applicants need examples showing how they solved communication problems, revised AI output, collaborated, and made responsible decisions.

How EBC15 responds: Build Your Career activities and Chapters 15–16 support portfolios, skills-based hiring, LinkedIn profiles, and interviews.

15. Retention Matters as Much as Coverage

Recognizing a concept on a quiz is not the same as applying it weeks later in a new workplace situation. Learning needs retrieval, practice, reflection, and transfer.

How EBC15 responds: NeuroOptimized Learning integrates more than 180 prompts, active engagement, cognitive load management, visual reinforcement, and learning support. For how this plays out in the classroom, see Teaching Business Writing with NeuroOptimized Learning.

What These Business Writing Trends Mean for College Instructors

Three shifts are especially important: from producing messages to making communication decisions; from merely using AI to directing and evaluating AI; and from covering content to developing lasting capability. These shifts strengthen rather than replace the fundamentals of audience analysis, clear organization, ethical responsibility, and revision.

A New Category of Business Communication Textbook

The 15th edition combines professional skills, responsible AI use, and NeuroOptimized Learning in an integrated instructional approach. It includes more than 180 neurolearning prompts, 12 new On the Job vignette-and-simulation pairs, more than 50 new figures, photos, and tables, and more than 300 new questions, activities, and cases—including more than 80 involving AI.

Its distinctive promise is not merely more material. It is a learning architecture intended to help students understand, retain, and apply communication skills without requiring instructors to redesign their courses.

Learning That Clicks. Knowledge That Sticks.

The post Business Writing Trends 2027: NeuroOptimized Learning first appeared on Bovée & Thill Business Communication Blog.

                  

Quick answer: Teaching business writing effectively means teaching students to plan for a specific reader, choose the right channel, organize for fast comprehension, revise strategically, and judge AI-generated drafts. Excellence in Business Communication, 15th Edition, by John V. Thill and Courtland L. Bovée, coming from Pearson in February 2027, supports this approach with three integrated layers: the textbook, MyLab Business Communication, and the EBC15 Teaching and Learning Accelerator. Its NeuroOptimized Learning framework applies learning science to every chapter so students absorb and retain more of what they read.

Why Teaching Business Writing Has Changed

Grammar used to be the easiest evidence of writing skill. Now any student can generate a grammatically clean email in seconds, so polish no longer proves competence. Teaching business writing today means developing judgment: knowing what a reader needs, what to say first, which channel to use, and when an AI draft is wrong.

How NeuroOptimized Learning Supports Teaching Business Writing

NeuroOptimized Learning starts from a simple premise: students learn more when instruction works with the brain instead of against it. Bovée and Thill built the framework with Kimberly DiMezza, MD, who brings a physician’s view of how the brain encodes, prioritizes, and retains information. It’s built into how every chapter of EBC15 is written and laid out, so instructors get the benefits without changing their course design.

Two layers: the text and the features

The text layer. Every chapter was rewritten to cut cognitive load. Process descriptions are simpler, redundancy is gone, and dense prose has become lists and tables. Chapters 1 and 8 each lost about 5,000 words while picking up important new topics.

The feature layer. More infographics, quick-reference tables, and Five-Minute Guides make key ideas easy to scan. More than 180 neurolearning prompts, in seven types, sit at the points in each chapter where they do the most good:

• Apply Your Skills Now: students use a new skill in their daily lives right away.
• Time to Make a Decision: a short scenario forces a communication choice and a look at the trade-offs.
• Rewire Your Habits: students compare their own habits with the best practices in the chapter.
• Sharpen Your Mindset: a quick self-check on tone, assumptions, and emotional reactions.
• Flip the Empathy Switch: students view the message from the reader’s side, which builds the you-attitude.
• Career Power Move: the skill gets tied to long-term career advancement.
• Interview Like a Pro: students turn the skill into an example they can use in a job interview.

The learning science behind it

The design draws on well-established research in cognitive psychology: active engagement and schema activation, managing cognitive load, pairing verbal and visual information, retrieval practice, metacognition, and relevance that helps skills transfer to new situations. The framework groups that evidence into six pillars that work as one system: active learning, visual learning and emotional connection, multi-sensory learning, cognitive load management, learning analytics through the MyLab instructor dashboard, and sleep and study coaching. That last pillar is rare in a business communication course. Sleep-dependent memory consolidation is one of the strongest and most overlooked drivers of long-term retention. The research behind each pillar is summarized in NeuroOptimized Learning and the Neuroscience of Effective Instruction.

Why it matters for business writing

Writing well is a judgment skill, and judgment only transfers when students practice it. One Time to Make a Decision prompt in Chapter 6 asks whether to accept an AI revision that’s clearer but sounds less personal. That’s the same call students will make at work every week. Lighter reading also leaves more attention for the reader, the purpose, and the structure of the message. The NeuroOptimized Learning Lab carries the same principles into students’ own drafts, checking clarity, cognitive load, tone, and audience impact as they revise.

Key Resources for Teaching Business Writing with EBC15

The textbook. Sixteen chapters in five parts move students from communication foundations through the Three-Step Writing Process (Planning, Writing, and Completing) to digital, routine, negative, and persuasive messages; reports and proposals; presentations; and employment messages. NeuroOptimized Learning reduces cognitive load and places more than 180 neurolearning prompts, such as Time to Make a Decision and Flip the Empathy Switch, beside the concepts they reinforce. Annotated model documents reveal the decisions behind effective writing, and AI is integrated into all 16 chapters.

MyLab Business Communication. Pearson’s digital course environment handles practice and assessment through Chapter Warm-Ups, adaptive Dynamic Study Modules, decision-making Mini Sims, Document Makeovers, grammar exercises, video exercises, and chapter quizzes. It connects with Blackboard, Canvas, Moodle, and D2L and includes the Pearson+ eTextbook, with audio, flashcards, and AI study help.

The EBC15 Teaching and Learning Accelerator. This layer, which includes the NeuroOptimized Learning Lab, coaches students on their own drafts. Tools such as the Tone & Trust Analyzer, Message Clarity Heatmap, Revision Workflow Coach, and AI-Human Writing Comparator explain their feedback in the textbook’s vocabulary and leave final decisions to the student.

Instructor resources. The Instructor’s Resource Manual, Test Bank with TestGen, and chapter PowerPoint presentations support course setup and delivery.

Five Strategies for Teaching Business Writing

1. Focus on audience and purpose. Have students name the reader, the purpose, and the desired action before drafting. Flip the Empathy Switch prompts and the Empathy Reframing Tool show where a draft misses the reader.
2. Organize and simplify. Chapters 6 and 7 teach clarity, conciseness, and information chunking. MyLab Document Makeovers and the Message Clarity Heatmap make weaknesses visible.
3. Practice, revise, and get feedback. Require a documented revision for each major assignment. The Revision Workflow Coach makes students fix purpose and organization before they proofread.
4. Use real workplace contexts. Each chapter opens with an On the Job vignette and closes with a simulation set in the same organization. Mini Sims and annotated models add further realistic practice.
5. Teach AI with humans first. Students compare their draft with an AI version in the AI-Human Writing Comparator, then explain what they kept and what they rejected. That explanation measures competence better than either draft.

Benefits of an Integrated Approach to Teaching Business Writing

• Develops writing judgment that stays valuable when AI handles the polish.
• Prepares students for workplace expectations through realistic simulations and course-long career activities.
• Strengthens retention through retrieval practice, spaced review, and lower cognitive load.
• Scales feedback, freeing instructor time for coaching conversations.

Frequently Asked Questions About Teaching Business Writing

What is the best way to teach business writing in college?

Teach a repeatable process and apply it to every message type. In Excellence in Business Communication, students use the Three-Step Writing Process (Planning, Writing, and Completing) for emails, negative and persuasive messages, reports, proposals, and presentations, revising each draft with structured feedback.

How should instructors handle AI when teaching business writing?

Treat AI as a draft generator that students must supervise. EBC15 integrates AI into all 16 chapters, and the AI-Human Writing Comparator asks students to evaluate an AI version against their own work and justify their final choices.

What does MyLab Business Communication add to a business writing course?

MyLab automates practice and assessment with adaptive Dynamic Study Modules, decision-making Mini Sims, Document Makeovers, grammar exercises, video exercises, and chapter quizzes, and it integrates with the major learning management systems.

What is the Teaching and Learning Accelerator?

It is an instructional layer for Excellence in Business Communication, 15th Edition, that extends the textbook and MyLab. It includes the NeuroOptimized Learning Lab and AI coaching tools that give students feedback on tone, clarity, empathy, and revision.

How does NeuroOptimized Learning help students learn business writing?

It applies learning science to the textbook. Shorter, chunked explanations reduce cognitive load, and more than 180 neurolearning prompts make students decide, reflect, and apply concepts as they read, which improves retention and transfer.

By combining the textbook, MyLab, and the Teaching and Learning Accelerator, instructors can build a business writing course that equips students to communicate clearly, persuasively, and responsibly in any workplace.

More for your classroom: Teaching Business Communication brings business communication instructors news, commentary and teaching ideas.

Sources

• Pearson: MyLab Business Communication boosts student success
• Pearson: Excellence in Business Communication product page

The post Teaching Business Writing with NeuroOptimized Learning™ first appeared on Bovée & Thill Business Communication Blog.

                  

We wrote both books, so we’re hardly neutral about them. We’ve tried to make this guide useful anyway: the table below covers all three publishers, and the buying advice applies whichever book you choose for your course.

Before choosing a title, use our five-point checklist for selecting a business communication textbook. To compare the leading titles side by side, see Business Communication Textbooks Compared.

The three major business communication textbook publishers

All three sell print, digital and bundled versions. The differences that matter most in practice are the authors’ approach to the subject and how well the homework platform fits the way you run your course.

What’s the difference between Business Communication Today and Excellence in Business Communication?

Both books are published by Pearson and built around the same core ideas, but they’re aimed at slightly different courses.

Business Communication Today, 16th edition (BCT16), subtitled Creating Human Connections in the Age of AI, is the comprehensive option. It suits instructors who want full coverage of writing, presentations, interpersonal and team communication, digital and social media, and the employment process, with room to go deep on each.

#image_title

Excellence in Business Communication, 14th edition (EBC14) is the more streamlined of the two. It covers the same essential skills in a tighter package, which works well for shorter terms, survey-style courses, or programs that want students spending more time writing and communicating orally and less time reading.

Coming February 2027: Excellence in Business Communication with NeuroOptimized Learning, a new category of business communication textbook.

The 15th edition of Excellence in Business Communication arrives in February 2027. It’s the first textbook built on NeuroOptimized Learning, a framework we developed to close the gap every business communication instructor knows: students who can answer the quiz question on Wednesday and still bury the main point of an email on Friday.

The framework builds well-documented learning practices into how the book explains concepts and asks students to use them. Kimberly DiMezza, MD, worked with us to vet the translation from research findings to page design. It’s organized around six pillars:

1. Active learning
2. Visual and emotional connection
3. Multi-sensory practice through MyLab
4. Cognitive load management
5. Learning analytics for instructors
6. Sleep and study coaching

On the page, that shows up in two ways. First, every chapter was rewritten to be shorter and clearer. Long stretches of prose became quick-reference tables, lists and infographics, and many example messages were converted from screen captures to text that reads properly on a phone.

Second, the book has more than 180 neurolearning prompts, placed right after students learn something so they can use it while it’s fresh. They come in seven types, from “Make a Decision” scenarios with real trade-offs to “Flip the Empathy Switch,” which asks how a message lands from the reader’s side. Each takes a minute or two, and each doubles as a ready-made discussion starter.

The research behind the individual practices is solid. A meta-analysis of 225 studies by Scott Freeman and colleagues found that students in traditional lecture courses were 1.5 times more likely to fail than students in active learning courses
PNAS, 2014
. Retrieval practice, spacing and cognitive load research point the same direction, though. The framework as a whole is new, and classroom outcome data will build as instructors use the edition.

For instructors, nothing extra is required. Syllabi, assignments and assessments carry over unchanged. For this edition, the Teaching and Learning Accelerator adds the NeuroOptimized Learning Lab, where students check their drafts for clarity, cognitive load, tone and audience impact, and compare AI-generated language with human-refined choices.

If you’re planning a fall 2027 adoption, you can go to Pearson’s website to request a copy after January 1, 2027.

What both books share

Both teach our three-step writing process (planning, writing, completing). Students apply the same framework to an email, a report or a presentation, so the skills carry over from one assignment to the next.

The books treat social media, mobile communication and digital tools as part of everyday business writing, which is how students will actually encounter them on the job. Chapters are anchored in situations drawn from actual companies, so the advice reads as practical rather than abstract. And both titles are available with MyLab Business Communication, which gives instructors assignable writing practice, quizzes and grading tools in one place.

Instructors and students using either book can also use the Teaching and Learning Accelerator, our library of digital learning tools. Most are AI lessons in which students prompt an AI, evaluate what it produces and revise it, using tools like the AI Writing Stress Test and Communication Risk Radar. Others coach presentations, job interviews and workplace etiquette, or help instructors with syllabus design and accreditation.

For more teaching ideas and resources, visit Bovee & Thill’s Business Communication Blog and the Business Communication Teaching and Learning Center.

Where to buy business communication textbooks

Directly from Pearson

Pearson.com is the most reliable source for current editions, MyLab access codes and bundles. Students can also subscribe to Pearson+ for eTextbook access to Business Communication Today and Excellence in Business Communication instead of buying a print copy. Buying direct guarantees you get the edition and access code your instructor assigned, which isn’t always true elsewhere.

Your campus bookstore

Many schools now use inclusive access programs, where the digital textbook and MyLab are delivered on the first day of class and billed with tuition. If your course uses one, check before you buy anything on your own. You may already have paid for it.

Online retailers and rental services

Amazon, Chegg and VitalSource sell or rent print and digital editions of all the major titles. Rentals and used copies can save money, but be careful on two points. Used books rarely come with a working access code, and an older edition may not match your instructor’s assignments or page references. If the course requires MyLab, you’ll usually need to buy access separately.

For instructors: review copies and course materials

Faculty considering an adoption can request a review copy through Pearson’s website or from a Pearson sales representative. The rep can also set up MyLab courses, arrange custom editions, and walk you through instructor resources such as test banks, PowerPoint slides and the instructor’s manual.

Frequently asked questions

Do I need a MyLab access code?

Only if your instructor assigns MyLab work. Check the syllabus or ask before buying. If your school uses inclusive access, the code may already be included in your course fees.

Can I use an older edition?

Sometimes, but ask your instructor first. Older editions can have different page numbers, chapter order and assignments, and a used copy rarely includes a working MyLab code.

Is there an eTextbook version?

Yes. Both Business Communication Today and Excellence in Business Communication are available as eTextbooks through Pearson+, and digital versions are also sold through retailers such as VitalSource.

When is the 15th edition of Excellence in Business Communication coming out?

February 2027. It’s the first edition built on NeuroOptimized Learning. Until then, the 14th edition is the current version.

What is NeuroOptimized Learning?

It’s a framework from Bovée and Thill that builds research-backed learning practices, such as active learning, retrieval practice and cognitive load management, into how a textbook is written and organized. It debuts in Excellence in Business Communication, 15th edition, with more than 180 neurolearning prompts that ask students to apply what they’ve just read.

How do instructors get a review copy?

Request one through Pearson’s website (aftrer January 1, 2027) or contact your local Pearson representative. The rep can also help you set up MyLab for your course.

Choosing what to buy

For students, the rule is simple: buy the exact title, edition and format your instructor lists, and confirm whether you need a MyLab access code.

For instructors, the decision comes down to fit. If you want a single, consistent writing method, current coverage of digital communication, and the choice between a comprehensive and a streamlined text from the same author team, start with Business Communication Today and Excellence in Business Communication. Request a review copy of each from Pearson and compare them against your syllabus.

By Courtland L. Bovee and John V. Thill

Courtland L. Bovée is a business communication educator and Pearson textbook coauthor who taught at Grossmont College for 22 years, earning teaching honors and holding the C. Allen Paul Distinguished Chair. Creator of NeuroOptimized Learning, he integrates cognitive science and artificial intelligence into business communication and introduction to business education.

John V. Thill is a communications consultant, business executive, and Pearson textbook coauthor with experience serving Fortune 500 companies and entrepreneurial startups. His background includes positions at Pacific Bell and Texaco. As chairman and CEO of Global Communication Strategies, he brings practical workplace insights to business communication teaching and learning.

CONNECT WITH BOVEE & THILL ON SOCIAL MEDIA

• Substack
• LinkedIn
• Facebook
• Youtube
• Scoop.It
• TikTok
• Pinterest
• Instagram
• Reddit
• Twitter

The post Where to Buy Business Communication Instructional Materials first appeared on Bovée & Thill Business Communication Blog.

                  

The Teaching and Learning Accelerator is a library of digital learning tools we built for instructors and students using either Business Communication Today or Excellence in Business Communication. Most of them are AI lessons: students prompt an AI, evaluate what it produces, and revise it. The goal is the part of business communication that grammar checkers and chatbots can’t supply, which is professional judgment.

We built these tools, so read this as the authors explaining their own work. Everything described here is on the Teaching and Learning Accelerator site, and you can try any tool before deciding whether it fits your course.

Polished isn’t the same as effective. The AI Writing Stress Test flags what grammar tools miss.

Why advanced business communication needs different tools

Generative AI changed what a weak student message looks like. A few years ago it had typos and run-on sentences. Today it’s often fluent, grammatical and wrong for the reader: the tone misjudges the relationship, the main point is buried, or there’s a legal or reputational risk nobody noticed.

That’s the premise behind the whole library. AI didn’t fix student communication. It made the missing skills easier to see. An advanced course has to teach students to diagnose problems in polished writing, coach themselves toward better choices, and connect those choices to what employers expect. The tools are organized around those same three jobs: diagnosis, coaching and career readiness.

How the prompt-based tools work

Many of the tools don’t call an AI service themselves. Instead, they build a carefully structured prompt. Students copy it into an AI chat they already use (ChatGPT, Claude, Gemini or Copilot), then paste the reply back into the tool.

That design has practical advantages for instructors:

• Students don’t need a new account or subscription.
• The tool works with whichever AI your campus allows.
• Students see exactly what was asked of the AI, which is itself a lesson in prompting.

Three tools to start with

If you only try three, try these. Each one shows students something about their writing that they can’t see on their own.

The AI Writing Stress Test checks AI-generated or student writing for audience, tone, ethics and cultural problems that grammar tools miss. It’s a fast way to show a class that “correct” and “effective” aren’t the same thing.

Communication Risk Radar builds a prompt that has an AI review a message for legal, ethical, reputational and interpersonal risk. Students learn to ask what could go wrong before they hit send.

What Will AI Miss? Dual Audit runs the same piece of writing past two simulated readers, an AI grader and a hiring manager, and shows the results side by side. The gap between the two is usually the most useful part of the lesson.

Coaching tools for speaking and professional presence

Writing is only part of an advanced course. Three interactive coaches cover the rest.

Elevator Pitch Studio offers six practice modes, including audience personas and hostile stress-test scenarios, so students rehearse against something harder than a friendly classmate.

Etiquette Lab coaches students through scenarios in four settings: email and messaging, virtual meetings, networking and events, and hybrid and digital work.

AI Interview & Presentation Coach has students upload a recording of themselves to Google Gemini with a coaching prompt. They get feedback across 32 presentation and interview skills without waiting for an instructor to watch every video.

New tools grounded in neuroscience

Four of the newest tools apply research on how readers process messages. They connect to NeuroOptimized Learning, the framework behind the upcoming 15th edition of Excellence in Business Communication.

• Cognitive Load Analyzer checks a draft for overload, the point where readers stop absorbing information, and suggests a rewrite.
• SCARF Model Auditor tests workplace messages against five social drivers: status, certainty, autonomy, relatedness and fairness. It’s especially useful for feedback, change announcements and other messages that can trigger defensiveness.
• Audience Brain Simulator shows how different reader profiles take in the same message.
• NeuroOptimized Learning Lab explains the research behind the other three, including Cognitive Load Theory and the SCARF model.

The full library at a glance

The tools are grouped into six categories, so you can go straight to the area you care about and ignore the rest. You don’t need to use them all. Start with one or two that fit a problem you already have.

Category	Examples
Course design and accreditation	Syllabus Builder, Syllabus Stress Test, Accreditation Risk Scorecard, Certificate & Digital Badge Generator
Classroom and teaching resources	Ethics in Action, Crisis Communication Intelligence Lab, Real-World Scenario Generator, Meeting Management & Facilitation Toolkit, Chair-Ready Course Defense Brief
AI vs. human communication analysis	Who Does What: AI vs. Human, The AI Misfire Gallery, Workplace Microaggression & Bias Rewriter
Skills gap and employer alignment	Expectation Gap Bridge, Skills Gap Calculator, Intercultural Nuance Checker, Listening & Nonverbal Communication Analyzer
Student career and professional development	Job Application Package Reviewer, Digital Footprint & Presence Checker, Conflict Resolution Simulator, Social Media Strategy Lab with Sentiment Analysis
Team and group communication dynamics	Team / Group Communication Dynamics (health monitor and writing analyzer)

You can browse them all in the full library view or by textbook chapter in the chapter view.

Finding the right tool for your course problem

Instructors rarely go looking for “a tool.” They go looking for a fix. The Teaching and Learning Accelerator starts there, with a challenge selector that maps six common course problems to suggested tools:

1. Students turn in AI output instead of professional judgment.
2. Engagement and motivation are falling flat.
3. You need to justify the course or map it to accreditation.
4. Students can’t present or speak professionally.
5. The content needs a stronger real-world connection.
6. Students struggle with workplace-ready writing.

For the third one in particular, tools like the Accreditation Risk Scorecard and the Chair-Ready Course Defense Brief help you make the case for the course to a department chair or review committee. Not many tools in this field help with that part of the job.

Three AI assistants also help you find your way around: the Teaching and Learning Accelerator Assistant for the site itself, the BCT16 Textbook Assistant for questions about the book, and the BCT16 Tools Assistant for choosing a tool.

Frequently asked questions

What is the Teaching and Learning Accelerator?

It’s a library of digital learning tools that Bovée and Thill built for instructors and students using either Business Communication Today or Excellence in Business Communication. It covers AI writing evaluation, audience and risk analysis, presentation coaching, career preparation and course design.

Do students need a paid AI account?

Not for the prompt-based tools. Those generate a prompt that students paste into an AI chat they already have, such as ChatGPT, Claude, Gemini or Copilot. The AI Interview & Presentation Coach uses Google Gemini.

Can I use the tools if I teach with Excellence in Business Communication?

Yes. The tools are available to users of both Business Communication Today and Excellence in Business Communication. The library is organized around BCT16, but the skills it targets, such as audience analysis, AI evaluation, risk awareness and professional presence, are central to both books.

Where should a new instructor start?

Start with the Syllabus Stress Test, the AI Writing Stress Test and Communication Risk Radar. Together they take you from course design to a first classroom activity.

Who do I contact with questions?

Use the Business Communication Network contact page.

Try a tool in your next class

The quickest way to judge these tools is to run one with real student work. Pick a recent assignment, put a few anonymized submissions through the AI Writing Stress Test, and show the class what it finds. Then visit the Teaching and Learning Accelerator to explore the rest, or request a review copy of Business Communication Today from Pearson.

Other Sources

Teaching Digital Media in Business Communication in the AI Era

Business Communication Textbook AI Tools: Better Teaching

More for your classroom: Teaching Business Communication brings business communication instructors news, commentary and teaching ideas.

By Courtland L. Bovée and John V. Thill

Courtland L. Bovée is a business communication educator and Pearson textbook coauthor who taught at Grossmont College for 22 years, earning teaching honors and holding the C. Allen Paul Distinguished Chair. Co-creator, with John V. Thill, of NeuroOptimized Learning, he integrates cognitive science and artificial intelligence into business communication and introduction to business education.

John V. Thill is a communications consultant, business executive, and Pearson textbook coauthor with experience serving Fortune 500 companies and entrepreneurial startups. His background includes positions at Pacific Bell and Texaco. As chairman and CEO of Global Communication Strategies, he brings practical workplace insights to business communication teaching and learning.

CONNECT WITH BOVEE & THILL ON SOCIAL MEDIA

• Substack
• LinkedIn
• Facebook
• Youtube
• Scoop.It
• TikTok
• Pinterest
• Instagram
• Reddit
• Twitter

The post What Are the Best Digital Learning Tools for Business Communication? first appeared on Bovée & Thill Business Communication Blog.

                  

The average employee now gets 117 emails and 153 Teams messages a day and is interrupted about every two minutes, according to Microsoft’s 2025 Work Trend Index.

Brief: Knowledge workers now spend more than half their working time communicating, and much of that communication fails. Microsoft data shows 57% of the workday goes to meetings, email and chat, with interruptions about every two minutes. Senders misjudge how their tone reads, fewer than half of employees clearly know what’s expected of them, and AI has added a new problem: polished-looking “workslop” that colleagues have to fix. Employers still screen hard for communication skills. This article collects 15 statistics from sources you can check, flags the popular figures that turn out to be myths, and explains what each one means for people who write and speak at work.

Key statistics at a glance

How much of the workday goes to communication?

More than half of it. Microsoft’s activity data shows most knowledge workers spend the majority of their time sending, reading and discussing, with constant interruptions and no clear end to the day.

1. Communicating has become most of the job.

• Data: Microsoft’s 2023 Work Trend Index, drawn from Microsoft 365 activity data, found the average worker spends 57% of their time communicating (meetings, email, chat) and 43% creating documents, spreadsheets and presentations.
• Impact: For most knowledge workers, communication is the main activity of the day, so its quality sets the pace for everything else.

2. The message volume is relentless.

• Data: Microsoft’s 2025 Work Trend Index found the average employee receives 117 emails and 153 Teams messages a day and is interrupted about every two minutes, roughly 275 times a day.
• Impact: Every message competes with dozens of others. If the point and the action needed aren’t clear in the first lines, expect it to be skimmed or skipped.

3. The workday has lost its edges.

• Data: Microsoft (2025) found nearly 40% of workers check email by 6 a.m., a third are back in their inboxes by 10 p.m., and 48% say their work feels chaotic and fragmented.
• Impact: Always-on messaging feeds burnout. Picking the right channel and timing a message with some care are part of communicating well.

What does poor communication cost businesses?

Estimates run from thousands of dollars per employee to more than a trillion dollars across the U.S. economy. The most reliable figures measure lost time: hours spent in unnecessary meetings, searching for information and untangling unclear messages.

4. Leaders believe poor communication costs them a workday every week.

• Data: A 2022 Grammarly and Harris Poll study found business leaders estimate their teams lose 7.47 hours a week to poor communication. The researchers valued that at $12,506 per employee a year and up to $1.2 trillion across U.S. businesses.
• Impact: It’s a vendor-sponsored estimate built on leaders’ perceptions, so treat it as a ballpark. Even heavily discounted, it’s a large cost that never shows up on a balance sheet.

5. People are writing more and getting less for it.

• Data: Grammarly’s 2023 follow-up found employees spent 18% more time on written communication than the year before, while leaders reported a 12% drop in its effectiveness.
• Impact: More tools and more messages haven’t produced clearer communication. The gap is a skills problem.

6. Finding information eats a quarter of the week.

• Data: Atlassian’s State of Teams 2025 found knowledge workers and leaders spend about 25% of their time searching for answers. Atlassian estimates that adds up to 2.4 billion hours a year across the Fortune 500.
• Impact: Decisions that never get written down and updates scattered across channels turn into duplicate work, extra meetings and slower progress.

7. Many meetings shouldn’t happen.

• Data: A survey led by organizational psychologist Steven Rogelberg found employees spend nearly six hours a week in unnecessary meetings, about $25,000 per employee a year. (Respondents skewed senior, with a median salary of $185,000.) Microsoft’s 2025 data shows 57% of meetings are now ad hoc rather than scheduled.
• Impact: More than 80% of respondents said skipping unnecessary meetings would make them more productive. Many accept invitations anyway because they don’t want to look disengaged.

Employees in one survey said they lose nearly six hours a week to unnecessary meetings. More than 80% said skipping them would make them more productive.

8. Communication failures can be deadly.

• Data: CRICO Strategies (2016) found communication failures contributed to 30% of 23,658 malpractice cases filed from 2009 through 2013. Those cases included 1,744 deaths.
• Impact: In high-stakes work, a missed handoff or an unclear instruction costs more than money. CRICO estimated better communication could have avoided $1.7 billion in malpractice costs.

Why do workplace messages get misunderstood?

Senders overrate their own clarity, readers give each screen less than a minute, and managers often leave expectations unstated. One widely quoted explanation, that most meaning is nonverbal, doesn’t hold up.

9. Writers overestimate how well their tone comes across.

• Data: In experiments by Kruger, Epley, Parker and Ng (Journal of Personality and Social Psychology, 2005), email senders were confident their sarcasm or seriousness would be read correctly. Recipients got it right only about half the time, close to chance.
• Impact: A joke, a correction or a terse reply can land very differently from how it was meant, and the sender rarely finds out.

10. “93% of communication is nonverbal” is a myth.

• Data: The 7-38-55 figures come from Albert Mehrabian’s 1960s lab experiments with single words expressing like or dislike. Mehrabian has said the ratios don’t apply unless someone is communicating feelings or attitudes.
• Impact: The ratio tells you nothing about how much meaning the words carry in a report, a proposal or a meeting. Nonverbal cues matter most when they clash with the words, because listeners then tend to believe the tone.

11. Attention on any one screen lasts under a minute.

• Data: Gloria Mark’s research at UC Irvine found people now stay on a single screen for an average of 47 seconds before switching, down from about two and a half minutes in 2004.
• Impact: Readers arrive distracted and leave quickly. Clear subject lines, short paragraphs and an early bottom line give a message a fighting chance.

12. Fewer employees know what’s expected of them.

• Data: Gallup found only 46% of U.S. employees strongly agreed in 2025 that they know what’s expected of them at work, down from 56% in March 2020.
• Impact: When goals and priorities aren’t spelled out, more than half the workforce is left guessing. Gallup ties clarity of expectations directly to engagement.

How is AI changing workplace communication?

AI makes drafting faster, but it also lets people send work they haven’t thought through. The result, which researchers now call “workslop,” shifts the cleanup onto whoever receives it.

13. AI has created a new kind of bad communication.

• Data: A 2025 study by BetterUp Labs and the Stanford Social Media Lab, published in Harvard Business Review, found 40% of 1,150 U.S. full-time employees had received “workslop” in the past month: AI-generated content that looks polished but doesn’t move the work forward. Each instance took nearly two hours to sort out, an estimated $186 per employee per month.
• Impact: 42% said they trust senders of workslop less, and about half saw them as less capable. Fast drafting damages the sender’s reputation when nobody checked the thinking behind it.

In a 2025 study, 40% of U.S. full-time employees said they’d received AI “workslop” in the past month. Each instance took nearly two hours to sort out.

Do employers still value communication skills?

Yes. Employer surveys put written communication near the top of what they look for in new graduates, and the skills that lead future-of-work rankings depend on communication even when they don’t use the word.

14. Employers screen for writing.

• Data: In NACE’s Job Outlook 2025 survey, at least 70% of employers rated written communication skills important when evaluating new graduates. Nearly 80% look for teamwork and nearly 90% for problem-solving.
• Impact: Writing is the first evidence an employer sees: the résumé, the cover letter and every email after that.

15. Future-skills rankings rarely say “communication,” yet they depend on it.

• Data: The World Economic Forum’s Future of Jobs Report 2025 ranks analytical thinking as the top core skill (about 70% of employers), followed by resilience and agility (67%) and leadership and social influence (61%). Empathy and active listening come in at 50%.
• Impact: Explaining an analysis, persuading a team and listening well are communication skills under other names. Building them pays off across most of the list.

The bottom line

The data tell a consistent story. People spend most of the workday communicating, a lot of it goes badly, and the senders usually don’t know it. AI speeds up drafting without fixing that, and sometimes makes it worse. Deciding what to say, who needs it, which channel fits and whether the message actually landed are skills people can learn, and the payoff shows up fast.

How we chose these statistics

We included only figures we could trace to a named study, survey or dataset, and we note where a number comes from a vendor-sponsored or self-reported survey. Several statistics that appear often online were left out because we couldn’t find their origin, including the claim that only 25% of business communication is understood and acted on, and the claim that people see 10,000 marketing messages a day.

Frequently asked questions

How much time do employees spend on email and messaging?

Microsoft’s 2023 Work Trend Index found the average worker spends 57% of their time communicating through meetings, email and chat. Its 2025 report found the average employee receives 117 emails and 153 Teams messages a day and is interrupted about every two minutes during core working hours.

How much does poor communication cost businesses?

A 2022 Grammarly and Harris Poll study estimated that poor communication costs U.S. businesses up to $1.2 trillion a year, or about $12,506 per employee. The figure is based on business leaders’ estimates that their teams lose 7.47 hours a week to poor communication, so it’s best treated as a rough estimate.

Is it true that 93% of communication is nonverbal?

No. The figure comes from Albert Mehrabian’s 1960s experiments on how people judge feelings from single spoken words. Mehrabian has said the 7-38-55 ratio applies only when someone is communicating feelings or attitudes. It doesn’t describe how meaning works in business writing, presentations or most conversations.

Why are emails so often misread?

Senders know what they meant, so they assume readers will too. In a 2005 study by Kruger and colleagues, email senders were confident their tone would be read correctly, but recipients identified sarcasm or seriousness only about half the time. Stating intent plainly helps more than relying on tone.

What is AI workslop?

Workslop is AI-generated work that looks polished but doesn’t move a task forward. A 2025 BetterUp Labs and Stanford Social Media Lab study found 40% of U.S. full-time employees received it in the past month. Each instance took nearly two hours to deal with, and recipients trusted the senders less.

What communication skills do employers want most?

In NACE’s Job Outlook 2025 survey, at least 70% of employers said written communication skills matter when evaluating new graduates, alongside problem-solving and teamwork. The World Economic Forum’s 2025 report ranks analytical thinking, leadership and social influence, and active listening among the top core skills, all of which rely on communicating well.

How can I make my business messages more effective?

Put the main point and any action you need in the first lines, since readers give a screen less than a minute. Choose the channel that fits the message, spell out expectations and deadlines, say plainly what you mean rather than relying on tone, and check any AI-drafted text for substance before sending it.

More for your classroom: Business Communication Teaching Resources collects free case studies, presentation guides and AI teaching ideas for business communication instructors.

By Courtland L. Bovée and John V. Thill

Courtland L. Bovée is a business communication educator and Pearson textbook coauthor who taught at Grossmont College for 22 years, earning teaching honors and holding the C. Allen Paul Distinguished Chair. Co-creator, with John V. Thill, of NeuroOptimized Learning, he integrates cognitive science and artificial intelligence into business communication and introduction to business education.

John V. Thill is a communications consultant, business executive, and Pearson textbook coauthor with experience serving Fortune 500 companies and entrepreneurial startups. His background includes positions at Pacific Bell and Texaco. As chairman and CEO of Global Communication Strategies, he brings practical workplace insights to business communication teaching and learning.

CONNECT WITH BOVEE & THILL ON SOCIAL MEDIA

• Substack
• LinkedIn
• Facebook
• Youtube
• It
• TikTok
• Pinterest
• Instagram
• Reddit
• Twitter

Sources

1. Microsoft Work Trend Index 2023, as reported by The Register
2. Microsoft Work Trend Index Special Report, “Breaking Down the Infinite Workday,” 2025, as reported by HR Executive and TechRadar
3. Grammarly and The Harris Poll, State of Business Communication, 2022, as reported by MarTech Series
4. Grammarly, *The State of Business Communication 2023*
5. Kruger, J., Epley, N., Parker, J., & Ng, Z. (2005). Egocentrism over e-mail. Journal of Personality and Social Psychology, 89(6). Summary from NYU Stern
6. Big Think, “The 7-38-55 rule: Debunking the golden ratio of conversation”
7. 
   BetterUp Labs and Stanford Social Media Lab,
   “AI-Generated ‘Workslop’ Is Destroying Productivity,”
   Harvard Business Review, September 2025, as reported by
   Axios.
   
8. Atlassian, *State of Teams 2025*
9. Steven Rogelberg meeting-cost survey, as reported by KUTV
10. Gallup, “Employee Engagement Declines from 2020 Peak” and Fortune
11. CRICO Strategies, Malpractice Risks in Communication Failures, 2016, as reported by STAT News
12. University of California, “How to sharpen your attention and meet your goals” (Gloria Mark)
13. NACE, “What Are Employers Looking for When Reviewing College Students’ Resumes?”
14. World Economic Forum, *Future of Jobs Report 2025*, Skills Outlook

The post 15 Hard Truths About Business Communication: Verified Statistics for 2026 first appeared on Bovée & Thill Business Communication Blog.

                  

Business communication textbooks cover similar skills but differ in writing-process model, length, AI coverage, and learning design.

The main business communication textbooks are BCOM, Business Communication (Locker, Mackiewicz & Aune), Business Communication and Character, Business Communication: A Problem-Solving Approach, Business Communication: Developing Leaders for a Networked World, Business Communication: Polishing Your Professional Presence, Business Communication: Process & Product, Business Communication Today, Essentials of Business Communication, and Excellence in Business Communication. They come from three publishers: Pearson, McGraw Hill, and Cengage.

The business communication textbook market includes several well-established titles, each with its own strengths and instructional philosophy. They differ in market presence, breadth of coverage, pedagogical approach, digital resources, and how closely they track today’s workplace. The chart below lists them alphabetically, with no ranking, so instructors can compare them side by side.

In this article

• The main business communication textbooks compared
• How Excellence in Business Communication differs
• How instructors choose a textbook
• Six criteria departments use
• Adoption checklist: 20 questions
• Weighted scoring rubric
• Free OER textbooks: do you get what you pay for?
• Frequently asked questions

What are the main business communication textbooks?

Last updated October 30, 2026. Edition and release details come from each publisher’s website.

Table 1. Leading business communication textbooks with current editions, listed alphabetically by title.

How does Excellence in Business Communication differ from traditional textbooks?

Most business communication textbooks follow a familiar model. They differ in their writing-process frameworks, length, and platforms, but the text presents principles and model messages in sequence, and exercises, cases, and online tools reinforce them.

The 15th edition of Excellence in Business Communication, by John V. Thill and Courtland L. Bovée, coming from Pearson in February 2027, takes a different approach and represents a new category of business communication textbook. It’s built around NeuroOptimized Learning, a framework that applies established findings from cognitive psychology and the learning sciences, such as retrieval practice, spaced review, pairing words with visuals, and managing cognitive load, to the whole book instead of to a few add-on features. Chapters were rewritten to remove redundancy and dense paragraphs were turned into lists, tables, and infographics, while the book kept its full coverage.

More than 180 neurolearning prompts ask students to use what they’ve just read. They make a communication choice and weigh the trade-offs, compare their own habits with best practice, look at a message from the audience’s point of view, or connect a skill to a job interview. AI appears throughout as a workplace reality, and more than 80 new questions, activities, and cases ask students to use or assess AI, with the emphasis on judging AI output instead of deferring to it.

Most business communication textbooks follow the traditional model. The 2027 edition of Excellence in Business Communication applies learning-science principles throughout the book.

How should instructors choose a business communication textbook?

For a step-by-step way to test finalists against each other, see How to Choose a Business Communication Textbook for the AI Era: A 5-Point Checklist.

Nearly all of these books teach the same core skills: audience analysis, clear writing, routine, negative, and persuasive messages, reports, presentations, and employment communication. The differences show up elsewhere:

• Writing-process model. Each book organizes writing around its own framework: the 3-x-3 writing process (Guffey & Loewy), the Three-Step Writing Process (Bovée & Thill), the ACE model (Shwom & Snyder), the CAM model (Newman), a problem-solving approach (Lentz, Rentz & Getchell), or the rhetorical situation (Locker, Mackiewicz & Aune). Pick the one that matches how you teach writing.
• Length and scope. Chapter counts run from 12 to 19. BCOM, Essentials of Business Communication, and Business Communication: Polishing Your Professional Presence suit shorter courses. Business Communication Today and Business Communication: Process & Product suit fuller ones.
• AI coverage. Several titles now cover AI in every chapter. Look at whether students practice using and evaluating AI, not just read about it.
• Digital platform. Pearson titles use MyLab, McGraw Hill titles use Connect, and Cengage titles use MindTap. Try the platform as well as the book.
• Learning design. Ask how the book helps students remember and apply what they learn, not just what it covers.

The most reliable test is simple. Request review copies of two or three finalists and read the same chapter in each.

What business communication departments really consider when choosing a textbook

A textbook can have outstanding content, innovative learning features and glowing reviews, and still lose the adoption decision. Faculty are deciding more than which book is best. They’re deciding whether changing textbooks will make enough of a difference to justify the effort.

Behind every adoption decision are questions that rarely appear in a publisher’s marketing materials. Will students actually read the book? Will they learn more? Will the assignments work in class? Will the technology create new headaches? Will colleagues agree to the change? And perhaps most important, is the new textbook enough of an improvement over the current one to make switching worthwhile?

Faculty bring different teaching experiences, priorities and expectations to these discussions. Some welcome new approaches, and others are reluctant to give up materials they’ve spent years developing. Departments differ in how they decide, but six considerations tend to shape the outcome.

1. Content and course fit: does the book teach what our course is supposed to teach?

A textbook can be comprehensive without being right for a particular course. Faculty need content that supports their learning outcomes, emphasizes essential communication skills and fits the time available.

How to evaluate it: Map the textbook’s chapters and learning objectives to the department’s required outcomes. Identify gaps, unnecessary material and topics that would need supplementing. Examine three representative chapters to judge the depth, sequence and flexibility of the coverage.

The deciding factor: Whether instructors can teach the course they’re expected to teach without substantially restructuring or supplementing the textbook.

2. Student learning and engagement: will students understand, remember and apply what they learn?

A textbook’s effectiveness depends on what students can do with the material, not simply how much information it contains. Faculty must consider students with different writing abilities, academic backgrounds and levels of motivation.

How to evaluate it: Ask a small group of students to read a representative section and complete an application activity. Watch where they struggle, whether they understand the concepts and how well they transfer what they’ve learned to a realistic communication problem.

The deciding factor: Whether the textbook’s explanations, instructional design and learning activities help students build lasting knowledge and usable communication skills.

3. Assignments, assessments and instructor support: will the book make teaching more effective and manageable?

The quality of a textbook’s supporting materials shows up when instructors prepare lessons, assign work and evaluate performance. Resources that look impressive in a demonstration can prove cumbersome in everyday teaching.

How to evaluate it: Have instructors build one week of instruction using the textbook’s assignments, cases, assessments, rubrics and digital resources. Note the preparation required, the quality of the activities and how well the assessments measure communication competence.

The deciding factor: Whether the instructional package supports meaningful learning while cutting unnecessary preparation, administration and grading.

4. Workplace relevance and AI integration: is the book preparing students for the workplace they’re entering?

Business communication is changing as AI reshapes writing, collaboration, information analysis and professional interaction. A contemporary textbook should prepare students to use these technologies responsibly while developing the human capabilities employers continue to value.

How to evaluate it: Examine representative workplace scenarios and AI-related activities. Determine whether students practice evaluating AI-generated content, making ethical decisions, adapting messages to audiences and judging when technology is appropriate.

The deciding factor: Whether students learn to handle realistic communication challenges that involve both emerging technologies and essential human skills.

5. Cost, accessibility and departmental requirements: will the book work for our institution?

Even an academically strong textbook may be unsuitable if students can’t afford it or its digital resources conflict with institutional requirements.

How to evaluate it: Verify total student costs, including required subscriptions and access codes. Confirm accessibility compliance, LMS compatibility, technical support and the ability to coordinate instruction across multiple sections.

The deciding factor: Whether the complete instructional package is affordable, accessible, technically reliable and compatible with how the department operates.

6. Switching costs and implementation: is the improvement worth the disruption?

Changing textbooks can mean revising syllabi, rebuilding assignments, learning new systems and getting colleagues to agree. Faculty who are reasonably satisfied with their current materials may see little reason to take on that work.

How to evaluate it: Estimate the time and resources required for implementation. Identify which existing materials must change, what help the publisher will provide and which specific weaknesses in the current textbook the replacement would fix.

The deciding factor: Whether the expected improvements are big enough to justify the transition.

Adoption checklist: 20 questions worth asking

Use this checklist during the final review. Answer each question with evidence from the six evaluations, not with general impressions or publisher claims.

Content and course fit

• Does the textbook align with our required course outcomes?
• Does it strike the right balance between foundational communication skills and contemporary workplace practices?
• Can instructors cover the essential material within the course schedule?

Student learning and engagement

• Can students understand the explanations without extensive instructor clarification?
• Are the examples and activities relevant to students’ experiences and career goals?
• Does the instructional design support understanding, retention and application?
• Do students practice analyzing problems, making decisions and exercising judgment?

Assignments, assessments and instructor support

• Are the assignments and projects realistic, varied and ready to use?
• Do assessments measure communication performance as well as conceptual understanding?
• Do instructor resources save meaningful preparation or grading time?

Workplace relevance and AI integration

• Does the textbook reflect contemporary workplace communication?
• Is AI meaningfully integrated into communication activities?
• Does the book strengthen critical thinking, empathy, ethical reasoning and human judgment?

Cost, accessibility and departmental requirements

• Is the complete student cost acceptable?
• Do the digital materials meet institutional accessibility and technical requirements?
• Can multiple instructors coordinate assignments and learning outcomes?

Switching costs and implementation

• How much instructional redesign will adoption require?
• What implementation help will the publisher provide?
• Which specific weaknesses in our current textbook would the new one address?
• Are the expected improvements worth the transition costs?

Turn the evaluation into a defensible adoption decision

A checklist helps faculty organize their judgments. A weighted scoring system makes comparisons more consistent and reduces the influence of personal preferences or a single impressive feature.

Before reviewing competing textbooks, the committee should agree on how much each criterion matters. These weights are a starting point that departments can adjust to their own priorities.

Table 2. Suggested weights for scoring a textbook adoption.

Rate each textbook on a five-point scale: 1 = Poor, 2 = Below expectations, 3 = Meets expectations, 4 = Strong, 5 = Excellent.

Multiply each rating by its weight and add the results for a weighted score out of 5. Ask reviewers to support every rating with specific evidence.

Before scoring, set nonnegotiable requirements such as affordability limits, accessibility compliance and mandatory course coverage. A textbook that fails an essential requirement shouldn’t win just because it scores well elsewhere.

Talk through big differences among reviewers instead of relying only on averages. When you can, pilot the leading candidate with a representative chapter or assignment. A short classroom trial can reveal strengths and weaknesses that a conventional review misses.

Free OER textbooks: do you get what you pay for?

Open educational resources (OER) are textbooks published under open licenses. Students pay nothing, and instructors can copy, adapt and share the material. Several free business communication textbooks are available through open libraries such as the Open Textbook Library, LibreTexts and OER Commons. For departments under pressure to cut student costs, that’s a real advantage, and it deserves a fair hearing.

Run a free textbook through the same six criteria and the trade-offs come into focus:

• Content and course fit. Many OER texts cover the core skills well, and the open license lets you rearrange or rewrite chapters. Check the publication date and how recently the content was revised. Some were written before generative AI changed workplace writing.
• Student learning and engagement. Quality varies widely from title to title. Look for worked examples, practice activities and current workplace cases, not just explanations.
• Assignments, assessments and instructor support. This is usually the biggest gap. Free textbooks rarely come with an integrated homework platform, auto-graded practice, test banks or a support team, so instructors often build and maintain those materials themselves.
• Workplace relevance and AI integration. Check whether AI is part of the writing process the book teaches, or missing altogether.
• Cost, accessibility and departmental requirements. The book is free, but add up the cost of any homework system or supplements you’d buy, and check accessibility and LMS compatibility as you would for a commercial title.
• Switching costs and implementation. There are no access codes to manage, but the hours instructors spend creating assignments, rubrics and assessments are a real cost, even when students pay nothing.

So is it true that you get what you pay for? Partly. The price tells you who does the work. With a commercial textbook, the authors and publisher build, test and update the assignments, assessments and digital practice. With a free textbook, much of that work usually falls to the department. For some departments the savings are worth it. For others, instructor time is the scarcer resource.

In the interest of full disclosure, we write commercial textbooks, so weigh our view accordingly. The fairest test is to score free and commercial options with the same weighted rubric above and let the evidence decide.

The bottom line

Textbook adoption is ultimately a decision about educational value, teaching practicality and the risks of change. Departments aren’t necessarily looking for the textbook with the longest list of features. They want one that will help students learn more effectively, support instructors in their daily work, meet departmental expectations and deliver enough improvement to make switching worthwhile.

The most revealing question a faculty committee can ask may be this: “What will our students be able to do better with this textbook than they can with the one we’re using now?”

A sound adoption decision answers that question with evidence, weighs the benefits against the costs of change and keeps the focus where it belongs: on a better learning experience for students.

Related reading

• How to Choose a Business Communication Textbook for the AI Era: A 5-Point Checklist (the quick version for one instructor)
• Where to Buy Business Communication Instructional Materials
• Business Communication Today, 16th Edition
• Technology in Business Communication: Tools, Benefits, Risks and How to Teach It
• Frequently Asked Questions about Bovée & Thill textbooks and adoption
• About the Bovée & Thill Business Communication Blog

Frequently asked questions about business communication textbooks

Which business communication textbooks cover AI in every chapter?

Business Communication Today, Business Communication: Developing Leaders for a Networked World, and Business Communication: Polishing Your Professional Presence each discuss AI in every chapter. Business Communication Today includes more than 100 AI-related questions, exercises, and activities. Publication dates matter in a field changing this quickly: Polishing Your Professional Presence was published in July 2024 (© 2025), and Business Communication Today in April 2025 (© 2026), so check how recent each book’s AI examples are. Excellence in Business Communication integrates AI throughout, with more than 80 AI-related questions, activities, and cases.

Which business communication textbooks are the most concise?

Business Communication: Polishing Your Professional Presence has 12 chapters, BCOM has 14 short chapters, and Essentials of Business Communication is a concise, skills-focused text. Excellence in Business Communication was streamlined for its 2027 edition while keeping full coverage.

What is NeuroOptimized Learning?

NeuroOptimized Learning is an instructional framework, used in the 15th edition of Excellence in Business Communication, that applies established principles from cognitive psychology and the learning sciences throughout a textbook. It aims to help students understand, retain, and apply what they learn.

The post Business Communication Textbooks Compared: 10 Titles for 2026-2027 first appeared on Bovée & Thill Business Communication Blog.

                  

Ethical AI instruction starts with students who can explain their choices.

In brief: Instructors teaching ethical AI communication need resources at three levels: concepts (what responsible AI use means at work), practice (how students test, verify, and disclose AI output), and assessment (how to grade judgment, not just polish). The Business Communication Teaching and Learning Center organizes these into pillars, hubs, and clusters, and the Bovée & Thill blog adds classroom-ready answers and activities.

What should an ethical AI communication unit cover?

Ethical AI instruction works best in three layers. The first is conceptual: what AI ethics means in professional settings. The second is practical: how students evaluate and use AI tools responsibly. The third is assessment: how instructors measure ethical reasoning rather than the quality of the output alone.

Three layers of an ethical AI communication unit, and the three questions each layer should answer.

Within those layers, look for resources that separate three questions. Use norms ask what is acceptable, and when. Transparency asks how a writer discloses AI’s role. Bias awareness asks how to recognize and correct skewed output. A resource that addresses only plagiarism detection or honor-code policy covers compliance, not ethical reasoning, which is a narrower job than most courses need.

The Center’s ethics pillar makes the same point. Detection-based approaches to academic integrity are no longer sufficient in the AI era, so it recommends moving the conversation from “Don’t cheat” to “Develop genuine competence.”

Structure matters as much as content. The Center is built as a system rather than a collection. Pillars set out the strategic “why,” hubs group related teaching concerns into instructional pathways, and clusters supply classroom-ready resources for the “what do I do next?” question. Each cluster can be used on its own or sequenced across a course, which gives instructors a navigable structure to assign from instead of a flat list of links.

Where can instructors find the conceptual foundations?

Start with three sources.

• Ethics and Professional Judgment pillar. Its list of curriculum “landmines” includes AI and authenticity: prohibiting all AI use without explaining why, or allowing unrestricted use without discussing the implications. Both leave students in an ethical gray area. The suggested fix is an explicit AI policy with a stated rationale. The full list of 26 landmines is in a companion article.
• AI and Technological Transformation pillar. Its AI Skills, Ethics & Student Use hub collects articles on revising AI writing, detecting hallucinations, and deciding when to use AI at all.
• Teaching AI Fundamentals. This blog article lists what students should hear in week one: transparency, misinformation and hallucinations, privacy, verification, and bias.

AI also makes persuasion easier to automate. When students use AI to draft persuasive messages, the Center’s persuasion-versus-manipulation questions give them a test to apply, such as whether the message presents complete, accurate information and respects the audience’s right to choose.

How can students practice ethical AI use?

Practice turns principles into habits. The Center’s human-in-the-loop model treats AI as a middle-stage drafter, not the final writer, which keeps creative control and responsibility with the student.

A human-in-the-loop workflow: AI assists in the middle, and the student stays responsible at both ends.

Several activities from the blog fit this model:

• Verify and correct. Give students AI-generated content with deliberate errors or biases, and have them check every citation.
• Role-play explaining AI-assisted work to a client or manager.
• Set the rules. Ask teams to write ethical-use guidelines and decide which tasks should stay human-only.
• Study failures. Analyze real cases of AI misuse in business communication.

For a single assignment, the Business Communication Today, 16th Edition instructor FAQ suggests an audience-and-purpose note before students consult AI, followed by a short decision record showing what they accepted, changed, rejected, and verified. Its Chapter 1 covers hallucinations, overreliance, misinformation, bias, disclosure, attribution, and privacy and security, and later chapters revisit AI within specific tasks. The FAQ also notes that the book requires no paid AI subscription.

How do you assess ethical reasoning, not just output?

Tell students which kinds of AI assistance are allowed on each assignment, then grade their communication decisions as well as the finished text. Useful evidence includes a planning note, a draft or revision history, source checks, and a brief explanation of the student’s choices. One rubric for all students can include audience fit, evidence, organization, tone, correctness, and ethical judgment. A short in-class writing task or oral explanation adds a direct sample of individual skill.

What to collect and what to grade when students use AI.

The ethics pillar adds design advice. Plagiarism-resistant assignments include process components, tie to students’ own experiences, build on earlier work, and invite an oral explanation of the written product. It also notes that students cheat most when they are overwhelmed or the work feels meaningless, so manageable workloads and a clear purpose are part of integrity.

To show growth, assign a baseline message in week one and a comparable task near the end, and score both against the same criteria.

Table 1. Resource types for an ethical AI communication unit

How does ethical AI instruction connect to career readiness?

Students need language they can use at work. The week-one list of professional responsibilities includes verifying accuracy, following organizational AI policies, protecting confidential information, and understanding legal implications. For résumés and interviews, the FAQ advises that AI may assist with critique or rehearsal, but the student must supply truthful experience and speak in their own voice.

There is a positive case as well. As AI automates routine drafting, the Center argues that distinctly human skills such as judgment, empathy, and strategic thinking become more valuable, and ethical reasoning is part of that skill set.

How do you get started?

1. Write an AI-use policy for each assignment and explain the reasons for it.
2. Teach the week-one basics: transparency, verification, privacy, and bias.
3. Add one verification exercise and one disclosure exercise.
4. Collect a decision record with each AI-assisted assignment.
5. Grade ethical judgment with a shared rubric.

Frequently asked questions

Do I need to be an AI expert to teach this?

No. The Center’s guidance is that you need to know communication, not code. Your ability to critique logic, tone, and evidence is the skill students need to manage AI output.

Is banning AI enough?

A ban without a stated reason leaves students guessing, and so does unrestricted use. Explain which uses are acceptable, which are not, and why.

Do students need a paid AI subscription?

Not for the textbook. Many activities work with a supplied AI-generated sample that students annotate, revise, or fact-check.

Where can I see how these resources fit together?

The Center’s home page maps pillars, hubs, and clusters so you can move from strategy to a classroom-ready activity.

More for your classroom: Business Communication Teaching Resources collects free case studies, presentation guides and AI teaching ideas for business communication instructors.

By Courtland L. Bovée and John V. Thill

Bovee & Thill

Courtland L. Bovée is a business communication educator and Pearson textbook coauthor who taught at Grossmont College for 22 years, earning teaching honors and holding the C. Allen Paul Distinguished Chair. Co-creator, with John V. Thill, of NeuroOptimized Learning, he integrates cognitive science and artificial intelligence into business communication and introduction to business education.

John V. Thill is a communications consultant, business executive, and Pearson textbook coauthor with experience serving Fortune 500 companies and entrepreneurial startups. His background includes positions at Pacific Bell and Texaco. As chairman and CEO of Global Communication Strategies, he brings practical workplace insights to business communication teaching and learning.

CONNECT WITH BOVEE & THILL ON SOCIAL MEDIA

• Substack
• LinkedIn
• Facebook
• Youtube
• Scoop.It
• TikTok
• Pinterest
• Instagram
• Reddit
• Twitter

Other Resources

1. Teaching Ethics in the Age of AI: Why Business Communication Course Is the New Ethical Front Line

2. Back to Basics: Avoiding Ethical Lapses in Business Communication

Sources

Business Communication Teaching and Learning Center, home page — https://buscommcenter.com/

Ethics & Professional Judgment in Business Communication — https://buscommcenter.com/ethics-professional-judgment/

Which of These 26 Ethical Landmines Is Hiding in Your Curriculum — https://buscommcenter.com/ethics-professional-judgment/ethics-academic-integrity/ethical-landmines-curriculum/

When Does Persuasion Become Manipulation in Business Communication — https://buscommcenter.com/ethics-professional-judgment/ethics-academic-integrity/persuasion-vs-manipulation/

AI & Technological Transformation in Business Communication — https://buscommcenter.com/ai-transformation/

AI Skills, Ethics & Student Use (hub) — https://buscommcenter.com/ai-transformation/ai-skills-ethics-student-use/

Teaching AI Fundamentals: What Students Need to Learn Starting on Day One — https://blog.businesscommunicationnetwork.com/teaching-ai-fundamentals-what-students-need-to-learn-starting-on-day-one/

Business Communication Today, 16th Edition: 27 Instructor Questions Answered — https://blog.businesscommunicationnetwork.com/business-communication-today-16th-edition-instructor-questions/

The post What Resources Help Instructors Teach Ethical AI Communication? first appeared on Bovée & Thill Business Communication Blog.

                  

Every wing labeled, nothing connected. That’s how a lot of business communication courses feel to the students taking them.

In brief: Business communication instructors face a bind that has been decades in the making: organize the course around document types and students learn formats rather than thinking; add every new channel and technology, and the course becomes a museum with ever more wings and ever less meaning. The way out is judgment: adopt materials that organize the course around the communication decisions students will face, treat AI as the workplace reality it already is, and make writing a matter of thinking rather than typing.

Why Does Business Communication Feel Like a Museum of Documents?

If you teach business communication, you already know the course’s quiet contradiction. It is the one course employers keep asking for — communication, teamwork, and critical thinking top the list of skills employers look for in college graduates^[1] — and yet it is often the course students are least convinced matters to them.

Much of the reason lies in how the course has been framed for decades. Business communication grew up as a formats course: the memo, the letter, the report, the résumé, the presentation. Each new technology added a new wing to the museum: email, then social media, then mobile messaging, now artificial intelligence. Textbooks built for this course compete on the completeness of the collection. More document types. More channels. More rules and etiquette tips. More model documents. The implicit promise is comprehensiveness: if a workplace document exists, there is a template for it, a checklist for it, and an end-of-chapter question about it.

The result is a familiar kind of course. Students move through document types the way tourists move through museum wings: everything is labeled, nothing is connected, and nothing is theirs. They learn the parts of a formal report without ever having to decide whether a report is the right move at all. And they quietly conclude that the course certifies production — the ability to type acceptable documents.

That conclusion used to be unfair. It isn’t anymore, because machines now type acceptable documents.

What Happens When AI Can Write the Documents?

Generative AI has done to the format museum what photography did to portrait painting: it removes the scarce skill the course was organized around, and in doing so reveals what the real skill always was.

When any student can generate a serviceable draft of a memo, an email, a proposal, or a cover letter in seconds — and in one 2025 survey of higher-education students in the United Kingdom, 88 percent reported using generative AI for graded work, up from 53 percent just a year earlier^[2] — producing a first draft is no longer the product of a business communication course. What remains scarce is everything the draft doesn’t include: judgment about audience and purpose, the choice of channel, the credibility of evidence, the ethical weight of a claim, the tone a relationship can bear, the awareness of how a message will land across cultures, and the willingness to take responsibility for the words that go out under someone’s name.

Those are not document skills. They are decision skills. They cannot be delegated, because delegating them is precisely the failure mode of AI-assisted communication. A professional who cannot judge a machine-written message is not accelerated by AI; that professional is replaced by whoever can.

The workplace is already paying for the difference. In a 2025 study by BetterUp Labs and Stanford’s Social Media Lab, published in Harvard Business Review, 40 percent of workers reported receiving “workslop” in the past month — AI-generated work that looks polished but lacks substance — and each instance cost nearly two hours of rework^[11]. Roughly half of recipients came to see the sender as less creative and less reliable. Polish without judgment doesn’t just fail to help; it damages professional reputations.

AI made the draft cheap. The decisions around it are now the scarce skill.

This is why the question a course is built around has to change. The traditional text answers: What should students know about business documents? That question produces museum architecture. A different question produces a different course: What should students be able to decide? Concepts earn their place by helping students reason through a communication choice a professional actually faces. The goal is not to abandon document types; it is to stop treating them as the destination. Formats still matter, but they become the settings in which students practice decisions rather than the point of the course.

This isn’t a cosmetic change. It changes what you assess, what you discuss in class, and what you’re willing to cut. It also changes how you evaluate materials. The question stops being “Does this cover all the document types?” and becomes “Is this built to produce durable communication judgment?” Texts built around formats struggle to answer yes to the second question, because they were never designed to.

What Is a Judgment-Centered Business Communication Course?

A judgment-centered course organizes material around the choices communicators actually face: what to say, to whom, in which channel, in whose voice, with what evidence, and with what responsibility for the outcome. The unit on bad news is no longer “how to write the indirect pattern” but “when to deliver bad news, how much of it, to whom, first — and how to remain trusted afterward.” The unit on persuasion is no longer a catalog of influence tactics but a chain of decisions: Is this ask reasonable? What evidence will this audience accept? Where does persuasion end and manipulation begin?

AI belongs in this course the way it now belongs in the workplace: everywhere, and not in a chapter of its own. The question for any set of materials is whether AI is woven throughout the text as a live reality, or confined to a stand-alone AI chapter or sidebar that goes stale before the semester ends. Employers have already decided the question: in Microsoft and LinkedIn’s 2024 Work Trend Index, 66 percent of leaders said they wouldn’t hire someone without AI skills^[12].

The 15th edition of Excellence in Business Communication is built this way. AI is integrated from the first chapter — Professional Business Communication in the Age of AI, which covers how generative AI works from a business user’s perspective, its advantages and risks, and how to use it as a communication partner — through the job-search chapters, with a closing quick-reference appendix on using AI for business projects. Along the way, students learn to craft effective prompts, evaluate AI output, and make informed decisions about when using AI is appropriate and when it is not^[3].

The edition is guided by a principle that resolves the central teaching dilemma: humans first, AI second. For critical skills such as organizing messages, students learn the manual approach first, so they can see the process and understand the skills involved. Only after they understand the techniques do they see how to apply AI to improve efficiency and effectiveness. Human judgment, ethical responsibility, and human-in-the-loop accountability are stressed throughout — and students are reminded that they are responsible for everything they communicate, whether or not AI was involved^[3].

The sequence has research behind it. A 2025 study of 319 knowledge workers by Microsoft Research and Carnegie Mellon University found that greater confidence in AI was associated with less critical thinking, while greater self-confidence was associated with more^[13]. And students already overrate themselves: in NACE’s comparison, 78 percent of students considered themselves proficient communicators, but only 54 percent of employers said the same of new graduates^[14]. Teaching the skill before the shortcut builds the self-confidence that keeps students thinking critically once the tool is in their hands.

Humans first, AI second: students learn the skill before the shortcut, so they can judge what AI gives them.

Because a judgment-centered course still has to fit in a semester, precision matters as much as philosophy. Excellence in Business Communication was rewritten end to end to reduce cognitive load — simplifying process descriptions, eliminating redundancy, and rigorously pruning section after section. Chapter 1 and Chapter 8 were each cut by 5,000 words even as new coverage was added, and the edition includes more than 180 neurolearning prompts, more than 300 new questions, activities, and cases — including more than 80 that involve the use or assessment of AI — and Human-First Communication activities at the end of every chapter that require students to apply judgment, empathy, and ethical reasoning^[3]. The pruning is done before the book reaches you. Every element that remains has already passed one test: does it help students make a better communication decision?

Precision also means teaching what lasts. Chapter 8, on digital channels, was rebuilt around principles rather than platforms — visibility, permanence, mutability, and context collapse — so the guidance holds up as specific tools come and go^[3].

What Happens to Writing Itself?

Nothing is abandoned. Writing is repositioned.

The writing process a judgment-centered course teaches looks like the process professionals now actually follow: think, plan, prompt, evaluate, edit, verify, own. The draft is no longer the deliverable; it is the midpoint. The work that surrounds it — defining the problem, diagnosing the audience, specifying the purpose, evaluating what the machine produced, correcting tone and logic, checking facts, and putting one’s name behind the result — is where the learning lives.

The draft is no longer the deliverable. It’s the midpoint.

Notice the sequence, because it is the sequence that protects learning. For skills students must own, the manual approach comes first — students see the process and understand what it demands — and only then does AI enter, as an accelerant rather than a substitute. It is also the answer to the concern instructors raise most often: that AI-assisted writing erodes critical thinking and originality. The research on teaching with AI points the same direction. Communication scholars argue that students need explicit strategies for collaborating with generative AI on business writing^[4]. The instructional focus shifts from producing a first draft unaided to evaluating, revising, verifying, and taking responsibility for AI-assisted communication. In other words, the worry is real only if the course keeps certifying typing. A course built around judgment makes AI the occasion for more thinking, not less.

The field has named the competencies involved. In a study of 343 business communication instructors, Peter Cardon and colleagues found broad agreement that AI-assisted writing will be widely adopted in the workplace, alongside concern that it will mean “less critical thinking and authenticity in writing.” Their answer is AI literacy built on four dimensions: application, authenticity, accountability, and agency^[15]. Excellence in Business Communication makes the evaluate-and-own steps concrete: Chapter 9 shows a generative AI draft of a routine request beside a humanized version, so students see exactly what judgment changes^[3].

What About Grading?

Here is where the old model genuinely cannot hold, and pretending otherwise costs instructors dearly.

Detection has failed. OpenAI’s own AI-text classifier correctly identified only 26 percent of AI-written text and was discontinued for low accuracy^[5]. Independent research found that detectors systematically misclassify writing by non-native English speakers as machine-generated^[6]. Grading on the assumption that you can tell who wrote what is no longer a policy; it is a bet with the house.

So assessment has to move from product to process. Drafts, prompts, revision histories, peer review, reflection, and brief oral defenses show the thinking in a way a polished final document never did. Notice that this is not a concession. Process-based assessment was always better measurement; AI just removed the excuse.

Process-based assessment shows the thinking that a polished final document hides.

And notice what it asks of the textbook. An instructor should not have to invent an AI policy for the syllabus, design AI-resistant assignments from scratch, or build a rubric for grading AI-assisted work on a Sunday night. Materials built for this moment should make that work easier rather than leaving instructors to solve it alone. Excellence in Business Communication weaves AI usage advice into the text itself — from general writing skills to context-specific tasks — with more than 100 questions, activities, cases, and prompts that encourage mindful use of AI, so adopting AI in your course doesn’t require creating separate materials or assignments^[3]. The Bovée & Thill Teaching and Learning Accelerator takes the same idea further: its live AI agents diagnose where student work would fall short in a real professional context, coach revision beyond grammar fixes toward the judgment and audience awareness that separate adequate communicators from exceptional ones, and build a visible connection between course work and what employers look for when hiring. The companion NeuroOptimized Lab gives students a place to practice, testing their own messages for clarity, tone, and audience impact — and comparing AI-generated with human-refined communication to see exactly where judgment matters^[3]. And the support doesn’t stop at the page: the authors sponsor instructor communities on LinkedIn and Facebook with more than 4,000 members, along with the Business Communication Blog and a curated library of shared teaching resources. The redesign is already done.

What Is the Relevance Gap in Business Communication?

If the format trap is the visible problem, the relevance gap is the deeper one: the distance between what students encounter in the textbook and why any of it should matter to them.

The paradox is that the course has never been more relevant and has rarely felt less so. Employers rank communication at the top of the skills they seek^[1], communication is the single most in-demand skill in the professional labor market^[7], and researchers continue to document a gap between what employers expect of business graduates and what graduates can do — particularly in persuasive messaging, intercultural fluency, and the strategic use of digital platforms^[8]. Meanwhile students watch a chat app produce a competent email in four seconds and reasonably ask why they need a course to learn that.

A course built around document production has no answer. A judgment-centered course has a built-in one: this matters because you will make these choices, every working day, and because the person who can judge what a machine writes is more valuable than the machine — while the person who cannot is not.

The best materials deliver that answer early and often, before students decide a topic doesn’t apply to them. Excellence in Business Communication does it with more than 180 neurolearning prompts placed at key points in every chapter — seven types, each designed to trigger a specific cognitive move: activating what students already know before a concept appears, prompting metacognition while they work through it, and connecting the idea to their own lives, future work, and professional decisions before the unit ends^[3]. Seen this way, the prompts aren’t mainly retention tools. They’re relevance mechanisms. Relevance isn’t a motivational layer added on top of learning. Retention follows from relevance, not the other way around.

Consider one Make a Decision prompt from Chapter 6: “An AI tool suggests a revision that improves clarity but sounds less personal. Do you accept it as is, revise it, or reject it? What factors should guide your choice?”^[3] That is the judgment employers now pay for, compressed into a single question — and the one AI can’t exercise on a student’s behalf.

There is a cognitive argument underneath this, too, and it is the same one that applies across the curriculum. As educational psychologist John Sweller’s cognitive load theory established, students bring limited working memory to every chapter and every class session^[9]. Every extra format rule, sidebar, and tangential model document competes for that same scarce capacity. The format museum doesn’t just bore students; it crowds out the connections that produce understanding. The 15th edition applies these principles deliberately through NeuroOptimized Learning, a framework created by Bovée and Thill in collaboration with Kimberly DiMezza, MD, who brings a physician’s lens to how the brain encodes, prioritizes, and retains information — operating at both the feature layer (infographics, quick-reference tables, structured prompts) and the text layer, where the text was extensively rewritten to simplify, shorten, and clarify^[3]. The framework even extends to how students study: evidence-based coaching on study spacing, timing, and sleep-dependent memory consolidation — one of the most systematically overlooked determinants of long-term retention, and one that traditional business communication texts rarely address^[3]. Cutting isn’t a concession. It’s the argument.

A Question of Teaching Identity

There is a more personal side to all this. Business communication is often the course that absorbs the institution’s AI anxieties: the emails from students who clearly didn’t write them, the uncomfortable judgment calls, the policy meetings. The pressure on the people who teach it is real, and much of it lands with no help from anyone.

Many instructors privately ask some version of this: What kind of teacher am I if my course still certifies document production in a world where machines produce documents on demand? That’s a fair question, and a useful one. Psychologist Drew Westen, author of The Political Brain, argues that people’s choices are driven less by dispassionate analysis than by emotion and identity^[10]. Choosing how to teach is no exception. Choosing materials and methods built around how students will actually communicate for the rest of their careers — rather than around the table of contents of a 1985 formats course — is partly a statement about the kind of educator you want to be.

How to Evaluate a Business Communication Textbook

The most useful move for any instructor is to stop evaluating materials on the old terms. Document coverage, model-document counts, channel checklists, and reference lists are battles conventional texts have fought for decades. Winning them doesn’t solve the problems you face in the classroom.

Instead, ask different questions the next time you review a textbook:

• • Is it organized around decisions students will face, or document types they’ll memorize?
  • Does it teach the manual skill before the AI shortcut — humans first, AI second?
  • Is AI woven throughout the text as live workplace reality, or quarantined in a sidebar?
  • Does it treat writing as a process of judgment — with prompts, drafts, and revisions students can show — rather than a product to submit?
  • Does it ship with what you would otherwise have to build yourself: AI guidance, process-oriented activities, mindful-AI prompts, and instructor-support resources?
  • Is it built to stay current — so that the framework ages well even as the tools change?

Materials built this way also don’t ask you to rebuild your course from scratch. When the judgment-centered structure, the prompts, the AI guidance, and the process-based activities are built into the program itself, the redesign is already done. The book simply works better, for you and for your students.

The word judgment sounds like a small thing to hang a course on. It isn’t. A graduate who can be handed a machine-written draft and make it better, decide what should be sent at all, and take responsibility for the result is not merely prepared for the current job market. That graduate is the reason the market keeps asking for this course — and the course students remember long after the final exam.

More for your classroom: Business Communication Teaching Resources collects free case studies, presentation guides and AI teaching ideas for business communication instructors.

By Courtland L. Bovée and John V. Thill

Bovee & Thill

Courtland L. Bovée is a business communication educator and Pearson textbook coauthor who taught at Grossmont College for 22 years, earning teaching honors and holding the C. Allen Paul Distinguished Chair. Co-creator, with John V. Thill, of NeuroOptimized Learning, he integrates cognitive science and artificial intelligence into business communication and introduction to business education.

John V. Thill is a communications consultant, business executive, and Pearson textbook coauthor with experience serving Fortune 500 companies and entrepreneurial startups. His background includes positions at Pacific Bell and Texaco. As chairman and CEO of Global Communication Strategies, he brings practical workplace insights to business communication teaching and learning.

CONNECT WITH BOVEE & THILL ON SOCIAL MEDIA

• Substack
• LinkedIn
• Facebook
• Youtube
• Scoop.It
• TikTok
• Pinterest
• Instagram
• Reddit
• Twitter

Frequently Asked Questions

What is the format trap in business communication?

The format trap is the pressure to organize the course and its materials around document types — memos, letters, reports, résumés, presentations — and their rules, which pushes instructors and textbooks toward breadth of coverage rather than depth of judgment. Students tour the formats without learning to make communication decisions, and each new technology adds another wing to the museum.

What does “judgment, not documents” mean?

It means organizing the course around the choices communicators actually face — what to say, to whom, in which channel, with what evidence, and with what responsibility — rather than around document types and their conventions. Formats still matter, but as containers for judgment rather than as the point of the course.

What does “humans first, AI second” mean?

It means students learn critical skills manually before they learn to accelerate them with AI. For skills such as organizing messages, the manual approach comes first so students can see the process and understand what it demands; only then do they apply AI to improve efficiency and effectiveness. Human judgment, ethical responsibility, and accountability for everything communicated — with or without AI — are stressed throughout.

If AI writes the drafts, what’s left to teach?

Everything around the draft: defining the problem, diagnosing the audience, specifying purpose, evaluating the machine’s output, correcting logic and tone, verifying facts, and taking ownership of the result. These are decision skills that cannot be delegated to AI, and they are precisely what employers mean when they rank communication and critical thinking at the top of the skills they seek.

Can’t instructors just use AI detectors?

No. Detection tools have proven unreliable — OpenAI withdrew its own classifier after it correctly identified only 26 percent of AI-written text, and research shows detectors frequently misclassify non-native English writing as machine-generated. Assessment has to move from product to process: drafts, prompts, revisions, reflection, and oral defense.

Does a judgment-centered textbook require instructors to redesign their course?

Not from scratch. When the judgment-centered structure, prompts, AI guidance, and process-based activities are built into the program itself, the redesign is already done. Students still learn the full range of business documents, but they learn them as contexts for decisions, and the instructor isn’t left to invent AI policies or process-based assignments alone.

Notes and References

1. National Association of Colleges and Employers, Job Outlook 2026 (Spring Update): “Communication, teamwork, and critical thinking top the list of skills employers look for in college graduates.” https://naceweb.org/docs/default-source/default-document-library/2026/publication/research-report/2026-job-outlook-report-spring-update.pdf
2. Higher Education Policy Institute / Kortext, Student Generative AI Survey 2025: 92 percent of students use AI in some form (up from 66 percent in 2024), and 88 percent have used generative AI for assessments (up from 53 percent). https://www.hepi.ac.uk/wp-content/uploads/2025/02/HEPI-Kortext-Student-Generative-AI-Survey-2025.pdf
3. Bovée, C. L., & Thill, J. V. Excellence in Business Communication, 15th Edition (Pearson, forthcoming). Preface (review copy): “A Comprehensive Solution to the Most Urgent Challenges in Business Communication”; “Responsible and Effective AI Use”; “The Science Behind NeuroOptimized Learning.” Facts cited from the Preface include the humans-first-AI-second principle, the 5,000-word cuts to Chapters 1 and 8, more than 180 neurolearning prompts in seven types, more than 300 new questions/activities/cases (more than 80 involving the use or assessment of AI), more than 100 items encouraging mindful AI use, and the Bovée & Thill Teaching and Learning Accelerator and NeuroOptimized Lab.
4. Zufelt, A. H. (2025). “How Instructors Can Teach Students to Collaborate With Generative AI to Craft Effective Written Business Communications.” Business and Professional Communication Quarterly, 88(2). https://journals.sagepub.com/doi/10.1177/23294906241309846
5. OpenAI, “New AI Classifier for Indicating AI-Written Text” (classifier correctly identified 26 percent of AI-written text; discontinued July 2023 due to low rate of accuracy). https://openai.com/index/new-ai-classifier-for-indicating-ai-written-text/
6. Liang, W., et al. (2023). “GPT Detectors Are Biased Against Non-Native English Writers.” Patterns, 4(7). https://pmc.ncbi.nlm.nih.gov/articles/PMC10382961/
7. LinkedIn, “The Most In-Demand Skills of 2024”: communication ranks No. 1 on the list of overall most in-demand skills. https://www.linkedin.com/business/talent/blog/talent-strategy/linkedin-most-in-demand-hard-and-soft-skills
8. Kennedy, E., & Hampton, A. (2025). “Your Understanding Is Different Than Mine: Rethinking Business Communication for Strategic Alignment.” Journal of Instructional Pedagogies, 31, on the persistent gap between employer expectations and business graduates’ communication competencies, particularly in persuasive messaging, intercultural fluency, and strategic use of digital platforms. https://files.eric.ed.gov/fulltext/EJ1500880.pdf
9. Sweller, J., van Merriënboer, J., & Paas, F. “Cognitive Load Theory and Instructional Design.” Educational Psychology Review. https://www.uky.edu/~gmswan3/544/Cognitive_Load_&_ID.pdf
10. Westen, D. The Political Brain: The Role of Emotion in Deciding the Fate of the Nation. PublicAffairs, 2007. https://www.publicaffairsbooks.com/titles/drew-westen/the-political-brain/9781586485993/
11. Niederhoffer, K., Kellerman, G. R., Lee, A., Liebscher, A., Rapuano, K., & Hancock, J. T. (2025, September 22). “AI-Generated ‘Workslop’ Is Destroying Productivity.” Harvard Business Review: 40 percent of workers had received workslop in the past month, costing nearly two hours of rework per instance. https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivity
12. Microsoft and LinkedIn, 2024 Work Trend Index Annual Report: 66 percent of leaders wouldn’t hire someone without AI skills; 75 percent of knowledge workers use AI at work. https://news.microsoft.com/en-cee/2024/05/16/microsoft-and-linkedin-released-2024-work-trend-index-three-out-of-four-people-use-ai-at-work-2/
13. Lee, H.-P., Sarkar, A., Tankelevitch, L., Drosos, I., Rintel, S., Banks, R., & Wilson, N. (2025). “The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers.” Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. https://www.microsoft.com/en-us/research/wp-content/uploads/2025/01/lee_2025_ai_critical_thinking_survey.pdf
14. National Association of Colleges and Employers, “The Gap in Perceptions of New Grads’ Competency Proficiency and Resources to Shrink It”: 78.1 percent of students rated themselves proficient in communication versus 53.5 percent of employers rating new graduates proficient. https://www.naceweb.org/career-readiness/competencies/the-gap-in-perceptions-of-new-grads-competency-proficiency-and-resources-to-shrink-it
15. Cardon, P., Fleischmann, C., Aritz, J., Logemann, M., & Heidewald, J. (2023). “The Challenges and Opportunities of AI-Assisted Writing: Developing AI Literacy for the AI Age.” Business and Professional Communication Quarterly. https://journals.sagepub.com/doi/10.1177/23294906231176517

The post Are Your Business Communication Students Tourists in a Museum of Documents? Here’s How to Change That. first appeared on Bovée & Thill Business Communication Blog.