This study examines the role of positive communication in AI-generated recruitment messaging and its influence on Generation Z job seekers. Drawing on positive communication scholarship (Mirivel & Fuller, 2024) and the Human Needs Approach (Socha & Beck, 2015), we explore how AI-generated job descriptions shape anticipatory socialization and perceptions of workplace culture. Using qualitative focus groups, we identify key themes related to authenticity, engagement, and the fulfillment of fundamental psychological needs. Findings indicate that although positive communication enhances job attractiveness, job seekers remain skeptical of AI-generated content unless it aligns with real-world workplace values. Organizations must balance AI efficiency with human oversight to maintain trust and ensure transparency in recruitment messaging. This study contributes to business communication research by offering practical and pedagogical implications for AI-integrated hiring strategies and ethical recruitment communication.

This study evaluates a “feedback-only,” constrained-generative AI tool designed to support revision without generating or rewriting student text. StoryCoach was developed for a business communication elective and grounded in cognitive apprenticeship with principles of feedback literacy. The tool generated structured feedback: one strength, one opportunity, and one reflective question per submission. Analysis of 57 paired drafts showed significant gains in feature-specific rhetorical execution, with vividness as the primary quantitative indicator (Cohen’s d  = 1.39), supported by independent reader judgments and student reflections. Findings demonstrate that constrained-generative AI can function as a pedagogical partner that strengthens rhetorical awareness and preserves authorship integrity.

Large Language Models (LLMs) have ignited discourse within the Technical and Professional Communications (TPC) community in relation to authorship and accountability. This article employs a qualitative synthesis of current and theoretical scholarship regarding authorship theory and LLMs. This analysis argues that while LLMs provide assistance to improve human-generated text, LLMs are unable to participate in authorship, as they cannot be held accountable for their outputs, participate in reciprocity, or demonstrate rhetorical awareness regarding audience and context. The analysis urges professors and professionals to consider concrete guidelines surrounding LLM usage to create transparency in the classroom and workplace.

A customized chatbot and structured interactions with ChatGPT were integrated into professional business communication pedagogy to foster critical reading, evaluative judgment and independent writing skills. The iterative-experiential learning feature of AI was utilized. AI (the chatbot and ChatGPT) was conceptualized as an assistant, coach, and provocateur in learning rather than a shortcut to bypass effort. The effectiveness of the intervention was explored through students’ reflections and learning experiences. The findings suggest that AI interventions for developing critical reading and writing skills can enhance traditional pedagogies and the learning curve. Implications and limitations of the study were also discussed.

With ChatGPT’s public release, artificial intelligence (AI) has had a profound effect on professional communication. Although clearly beneficial in manipulating large volumes of information, AI cannot provide the insights into each company’s uniqueness—its culture, organizational dynamics, and operational controls—factors defining the character, precision, and tailoring demanded in professional communications. Those attributes depend on the creativity, reasoning, and theory-based causal logic of human cognition. By reexamining the process of developing professional communications, from discovering embedded purposes through final product, we can demonstrate to students how AI can be applied to encourage creativity and promote the powers of human intellect.

Businesses increasingly use Artificial Intelligence (AI) Applicant Tracking Systems (ATS) to screen job applicants’ résumés. A summative content analysis auditing how 18 business communication, business English, and technical communication textbooks cover résumés and AI ATS found a lack of consensus. The study identified the challenge of offering specific advice on emerging AI technology in textbooks. The article recommends writing and teaching practice changes when discussing emerging technology and creating or using textbook content.

This article examines how artificial intelligence is transforming instructor-student communication and student evaluation in higher education. By comparing traditional and AI-mediated communication practices, the study synthesizes current literature on opportunities, challenges, and ethical considerations. The analysis highlights the need for digital literacy, emotionally intelligent AI tools, and balanced pedagogical strategies. Practical and theoretical propositions are provided to guide educators in leveraging AI while preserving human-centered teaching values.

This study assesses the potential use of artificial intelligence-programmed managers in the workplace through two experiments that manipulated source cues and time cues. Data were collected before the Novel Coronavirus pandemic and then 3 years after the pandemic’s outbreak when many businesses had returned to normal operations and ChatGPT had been released. Results held across the two experiments. Neither time nor source automation cues had an impact on the affective impressions participants formed of the simulated email exchange. Attention check data further suggests time cues may no longer be a relevant predictor of impression formation in workplace communication.

The emergence of artificial intelligence (AI) technologies is significantly impacting public relations (PR) practices, especially in the area of organization-public dialogues. This study explores how Kenyan PR practitioners perceive AI’s influence on their ability to achieve mutuality and openness, which are core principles of effective communication. Through in-depth interviews, the findings reveal that AI is regarded as a valuable tool for transforming dialogues across both online and offline channels, indicating a paradigm shift in how practitioners facilitate communication. However, concerns surrounding AI-generated content, data security transparency, and the responsible application of AI technology also arose, potentially affecting trust between organizations and their publics. The implications of these findings are discussed.

The research combines explanatory and predictive modeling to examine the impact of annual report tone in predicting publicly traded companies’ profitability in Vietnam, an emerging Southeast Asian market. SGMM regression shows that this year’s narrative tone affects next year’s profitability. The study also used Scikit-learn Python machine learning algorithms to forecast profitability. The tone-based forecasting model that incorporates the company’s general and financial features predicts profitability is the most effective model. This study provides stakeholders such as investors and creditors with an approach to predict future profitability based on the narrative tone and expands theoretical understanding of its predictive power. JEL codes: D21, G33, M40, M41

As businesses begin utilizing generative AI to assist with written communications, professionals will need to have the skills to get the results employers demand. A working strategy to assist students on how to best collaborate with generative AI to create traditional business writing pieces is essential as we move to this new integrated workplace.

This article presents “The Cure for Talking,” a pioneering conceptual framework that blends Transactional Analysis (TA) with Artificial Intelligence (AI), to produce a TA-AI Bot designed to optimize executive communication. Here, the medium of interest is written emails. The TA-AI Bot aims to change behavior through the reinforcement mechanism of repetition. The feedback system of the TA-AI Bot is designed to enhance users’ self-awareness and communication quality, that is, identification and shifting of ego states to approximate better communication; and recognition of rhetorical appeals that typify their exchanges with others. Validation of “The Cure for Talking” will require iterative research.

Emerging consensus suggests faculty should teach students to use large language models (LLMs) rather than ban them, but it is not clear that students need detailed AI-related instruction. To investigate, we conducted two studies: Study 1 used survey and focus group methods to assess how such instruction influenced students’ perceptions, while Study 2 used rater evaluation to examine how AI use affected message quality. Study 1 found no meaningful impact on perceptions. Study 2 found that instruction did not affect ratings, but genAI use did—messages composed with LLM assistance received higher evaluations than those without it. We conclude with recommendations for genAI-focused classroom instruction.

Teachers, students, and professionals widely use ChatGPT for business communication. Recent studies have explored predictors driving its adoption, predominantly from a general education perspective. To address this gap, this study examines predictors and barriers encountered by English for Specific Purposes (ESP) learners in India, a developing market with a significant number of ChatGPT users enrolled in business communication (BC) courses. A model based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) was proposed, incorporating seven predictors to assess their influence on the intention to use ChatGPT. Structural equation modeling (SEM) was performed on 526 students’ responses from two reputed Indian private universities, yielding a good model fit (minimum discrepancy by degree of freedom = 2.95, goodness of fit index [GFI] = 0.945, root mean square error of approximation [RMSEA] = 0.043). Further, the results identified five significant predictors: perceived usefulness (β = 0.234, p < 0.001), academic integrity (β = 0.291, p = 0.003), perceived ease of participation (β = 0.174, p = 0.013), privacy concerns (β = 0.224, p = 0.004), and perceived ease of participation’s effect on perceived usefulness (β = 0.354, p < 0.001). However, peer behavior (β = −0.032, p = 0.769) and security concerns (β = −0.059, p = 0.434) were found to be insignificant predictors. The findings suggest that ChatGPT adoption is shaped by perceived functionality, ethical confidence, ease of use, and privacy assurance, while peer behavior and security concerns play a limited role, likely due to the tool’s early-stage adoption and individualistic usage patterns. This study highlights the importance of addressing barriers through targeted training, transparent policies, and AI literacy initiatives to ensure responsible and effective integration of ChatGPT in academic and professional contexts.

This study compares AI-generated (ChatGPT and Gemini) and human-written business refusal texts. A genre analysis found that AI-generated texts are formulaic and less nuanced than human-written texts. Applying a rating of professional writing quality, inferential statistics revealed no significant difference in scores between Gemini and human-written texts, but revealed ChatGPT as lower. Human assessors identified authorship of AI-generated texts with an accuracy rate of 68.1%, and human-written texts with 86% accuracy. Key concerns for assessors were tone, relationship, language choice, content, and structure. The findings inform four key areas of focus for teaching business writing in the AI age.

This article presents a curated collection of nine teaching innovations presented at the Association for Business Communication 89th conference in the “oil capital of the world,” Tulsa, Oklahoma, as well as online, in October 2024. Many of the MFA presenters demonstrated how AI can be used, integrated, and analyzed in business communication classes. This My Favorite Assignment 35th edition introduces readers to a wide variety of classroom-ready ideas that integrate AI. Teaching support materials—instructions to students, stimulus materials, slides, rubrics, frequently asked questions, links, and sample student projects—are downloadable from the Association for Business Communication website.

In a cross-institutional study, this article shares research findings about business student perceptions and experiences using an automated writing assistant program based on traditional artificial intelligence. Using a mixed-methods approach, we share student responses to Grammarly’s suggested revisions and provide insight into students’ confidence levels and correctness in workplace written communication. Finally, this study concludes with a discussion of the implications of this work related to business communication education and research, as well as possibilities for the future.

This article presents a conceptual framework for integrating artificial intelligence (AI) to enhance communication skills in educational and business settings. By examining the dual role of AI as both an enabler and a challenge, the article highlights AI’s capacity for personalized learning, skill development, and efficiency in communication tasks. It also addresses potential issues such as academic integrity, data reliability, and ethical considerations. This framework aims to guide institutions and organizations in adopting AI responsibly, ensuring that human-centered communication remains integral to AI-enhanced environments.

This article argues that ethical authorship is essential for the ethical use of artificial intelligence (AI). It examines tensions that historical understandings of authorship have created as instructors and students alike navigate AI technologies. Given these tensions, this article proposes a definition of “ethical authorship” and uses de Colle and Werhane’s moral motivation framework to outline how instructors can use ethical authorship and moral motivation to encourage students’ ethical AI use.

Critical thinking and problem-solving are essential skills in management education. ChatGPT and other AI-assisted writing tools might disrupt conventional tools like essay writing and case-study analysis. The project incorporates bibliotherapy-inspired usage of ChatGPT and critical thinking and problem-solving frameworks to make students identify and solve real-life problems like social media addiction or time-management skills. ChatGPT is used as an assistant, coach, and/or motivator in the project. Students’ experiences are shared as blog posts. The impact of the project on developing critical thinking and problem-solving skills is measured by a post-and-then-pre survey questionnaire.

Drawing upon a framework of “assemblage thinking,” this article offers an approach to considering artificial intelligence (AI) and ethics that seeks to think relationally across the positions occupied as educators and students at a business school. To complement discussions of assemblage and examinations of ethics in the AI era, we draw upon the perspectives of a relatively understudied population in this conversation—students themselves navigating AI and writing within a business-focused context—and extend assemblage thinking to capture important thought toward the future of business communication, pedagogy, ethics, and AI.

The public release of ChatGPT in 2022 ushered in a new era, affirming the present reality of AI-assisted writing and the critical role business instructors play in preparing students. This study presents the results of a pedagogical experiment. Specifically, it evaluates strategies for integrating and teaching about AI in the business communication classroom, focusing on the impact of generative AI on students’ understanding of business writing principles and how different levels of engagement with AI influence students’ critical AI literacy and attitudes toward AI-assisted writing in the workplace.

This article presents the ongoing conversation about generative AI guidance and policy in higher education. The article examines syllabus policies, including analyzing sentiment, emotion, and common themes in GenAI policies. Findings show that policies should be audience-focused, clearly written, and grounded in strategies to promote ethical AI use in academia and the workforce. Practical tips for policy writing and sample policies are provided.

This study explores how confidence levels in user prompts affect AI-generated resume text. Using six varied prompts for AI models ChatGPT-3.5, Gemini, and Perplexity, it examines how AI interprets and responds to different confidence levels. The findings reveal significant differences in AI-generated resumes based on prompt confidence, highlighting the need to adapt resume pedagogy for the AI age. Emphasizing the importance of teaching genre conventions and developing critical AI literacies, the study offers practical recommendations for integrating AI tools into resume writing instruction to better prepare students for an increasingly digital world.

Preparing students to communicate in business has often been an overlooked area within literacy studies. With current calls by Cardon et al. (2024) to focus on core competencies in the business communication classroom with the emergence of generative AI, it is more important than ever to remember Berkenkotter and Huckin’s (1994) explanation that students will always learn in a form of “situated cognition embedded in disciplinary activities” (p. 3). This project, as a result, provides a framework to explore student experiences with business communication before students arrive on a college campus to better inform higher education stakeholders.

Generative AI could disrupt professional writing instruction, but banning AI tools seems unproductive. This article outlines a rhetorical approach for adapting business writing instruction for the AI age: It suggests AI use cases that align with the rhetorical canons, illustrates each with real-world business examples, and ends with suggestions for using AI to build students’ critical genre awareness. This approach should prove useful for business writing instructors who want to ground their AI-related instruction in enduring pedagogical theory.

In this discussion, we consider how the use of scenario-based assessment (SBA) can provide students with a way of developing the digital communication skills that business communication research has found they will need for the workplace, alongside other aspects of professional competence. This is because SBA can be employed to engage learners in the same types of authentic performance tasks in a situated context that they will likely encounter in their professional lives. In addition, SBA can also be used to maximize the integrity of an assignment by harnessing the positive effects of using generative Artificial Intelligence (AI) tools, while simultaneously mitigating against the misappropriation of AI by students. SBA allows learners to practice both their digital, and other, communication skills as well as contributing to their understanding of professional practice, and it also provides instructors with a powerful form of formative assessment. Our aim is to put forward a motivating and effective way of helping our students to develop the skills that they will need to become successful communicators in a postpandemic professional world.

Many experts project generative AI will impact the types of competencies that are valued among working professionals. This is the first known academic study to explore the views of business practitioners about the impacts of generative AI on skill sets. This survey of 692 business practitioners showed that business practitioners widely use generative AI, with the most common uses involving research and ideation, drafting of business messages and reports, and summarizing and revising text. Business practitioners report that character-based traits such as integrity and soft skills will become more important. Implications for teaching business communication are discussed.

The article discusses the impact of text-generative AI in business communication pedagogy. The onset of open AI, such as ChatGPT, has the potential to transform the way faculty and students approach oral and written professional business communication. Through focus group discussions and netnography, the study employs content analysis to evaluate the strengths, weaknesses, opportunities, and threats (SWOT) of integrating AI in the teaching-learning process of business communication in a postgraduate management program. The article strives to reimagine the pedagogical tools and techniques regarding pre-reading assistance, classroom materials, assignments, evaluation, and other learning aids of business communication courses in response to the developments in text-generative AI.

This study captured the perspectives of 887 working adults to explore views of professionalism, authenticity, and effectiveness of AI-generated messages. With a 3 (message type) × 2 (disclosed vs. undisclosed) × 2 (ChatGPT-generated vs. Google-generated AI messages) design, professionals generally view AI-generated content favorably in all conditions. Across all messages, professionals consistently rated the AI-generated messages as professional, effective, efficient, confident, and direct. They rate sincerity and caring slightly lower in some disclosed conditions, particularly for ChatGPT-generated messages, suggesting the importance of tool selection when using generative AI for workplace writing. Those professionals who use AI more frequently for work are more likely to view AI-assisted writing as authentic, effective, and confidence-building. Implications for teaching business communication, including the need to address AI literacy, and suggestions for future research are provided.

Artificial intelligence assignments lead this article’s 11 teaching innovations selected from the My Favorite Assignments presented at the 2023 Association for Business Communication’s Annual International Conference held in Denver, Colorado. USA. Pedagogy presented here also includes ideas to enhance student engagement and techniques to transform learning via gamification.

Generative AI may significantly disrupt the teaching and practice of business communication. This study of 343 communication instructors revealed a collective view that AI-assisted writing will be widely adopted in the workplace and will require significant changes to instruction. Key perceived challenges include less critical thinking and authenticity in writing. Key perceived benefits include more efficiency and better idea generation in writing. Students will need to develop AI literacy—composed of application, authenticity, accountability, and agency—to succeed in the workplace. Recommendations are provided for instructors and administrators to ensure the benefits of AI-assisted writing can outweigh the challenges.

The rapid, widespread implementation of artificial intelligence technologies in workplaces has implications for business communication. In this article, the authors describe current capabilities, challenges, and concepts related to the adoption and use of artificial intelligence (AI) technologies in business communication. Understanding the abilities and inabilities of AI technologies is critical to using these technologies ethically. The authors offer a proposed research agenda for researchers in business communication concerning topics of implementation, lexicography and grammar, collaboration, design, trust, bias, managerial concerns, tool assessment, and demographics. The authors conclude with some ideas regarding how to teach about AI in the business communication classroom.

We analyze the self-rated writing skills of graduating business majors and perceptions on how much these skills changed during college. Subjective skill measures may be good proxies of objective skills, and affect outcomes such as career goals, job applications, and graduate school enrollment. The sample includes 436,370 students from 619 different institutions. On average and all else equal, business majors are estimated to be 17.6% less likely to report high writing skills at graduation when compared with other students and 11.5% less likely to report high gains in these skills during college. Average differences across disciplines are often large.

A hallmark of business and professional communication is an emphasis on pragmatic but theoretically grounded work. Thus, business and professional communication scholars are ideally suited to turn the theories found in disability studies into practice. In this article, I do just that by creating a theory—orienting access—that draws on concepts from disability studies. Orienting access calls for business and professional communication faculty to consider alternate pedagogies to ensure that our classrooms are truly accessible to all students. It also models the behaviors to teach how to design and create information that is accessible for all audiences.

Phatic refers to the rhetorical function of creating effective communication channels, keeping them open, and establishing ongoing and fruitful relationships, all of which are vital in the age of digital rhetoric, social media, and global intercultural exchange. In this realm, the professional communicator functions less as an originator of new information and more as a space designer, a facilitator of others’ online interactions, a curator of user-generated content, and a communication leader. The phatic function—especially relevant to online interactions such as virtual teamwork, intercultural communication, and user help forums—deserves significant attention as a primary purpose for professional communication.