What is Writing With AI?

Writing with AI refers to the human act of using GenAI during composing–that is, engage in the act of making meaning, of engaging in symbolic discourse

• Writers may use GenAI to facilitate prewriting, inventing, drafting, collaborating, researching, planning, organizing, designing, rereading, revising, editing, proofreading, sharing or publishing.
  • For example, writers use GenAI to suggest titles or headings; brainstorm ideas through dialogue; replace or supplement web search; summarize, analyze, and synthesize sources; generate, revise, and refine draft text; create outlines; test arguments by identifying flaws or acting as a devil’s advocate; analyze numerical or textual data; manage citations and formatting; design visuals or illustrations; perform basic calculations; and adapt writing for different audiences, genres, or platforms.
• Writers may use GenAI as a thought partner, research assistant, composing assistant, citation assistant, publishing and remediation assistant, designer, editorial assistant, and teaching assistant.

Synonymous Terms

Writing with AI may also be known as

Introduction to Writing with AI

Generative AI is one of the fastest-adopted technologies in history. Since ChatGPT’s release in late 2022, over 1.7 billion people worldwide have used generative AI tools, with 500–600 million engaging daily across text, image, and code platforms (Menlo Ventures, 2025).

WorkPlace Writing

In the workplace, surveys show that three out of four knowledge workers now use AI, with nearly half starting within the last six months. Employees report that AI saves time (90%), improves focus (85%), and boosts creativity (84%) (Microsoft & LinkedIn, 2024).

Students

Students are also among the heaviest users of GenAI. According to a February 2025 UK survey of more than 1,000 students, found 92% of the students had used AI for coursework (Freeman 2025). Freeman found that students routinely use GenAI to understand assigned readings (69%), summarize articles or chapters (62%), draft or revise written work (56%), generate explanations, examples, or analogies (44%), plan or outline assignments (39%), improve grammar, clarity, or style (31%), check citations or formatting (about 20%), and brainstorm research questions or ideas (about 18%).

A 2024 global survey of nearly 4,000 students across 16 countries similarly reported that 86% use AI academically, with 72% asking for more training and 80% saying their universities were not meeting expectations for AI integration (Digital Education Council, 2024).

Professional Writers

Professional writers–knowledge who spend a substantial portion of their time engaged in workplace writing and public discourse,–have mixed feelings about if, when, or how they should use GenAI. According to a 2025 survey of 1,190 writing professionals, 57% of advanced users view AI as a positive force for the profession, only 3% of nonusers agree. 73% of the professionals believe GenAI will reduce opportunities for writers in the next five years.

Even so, 61% of them report using AI daily (Gotham Ghostwriters & WOBS LLC, 2025). Among AI users, 43% believed GenAI improved their writing, and 75% said GenAI made them more productive. Advanced AI users reported median incomes 64% higher than nonusers ($120,100 vs. $73,400). These professionals report using GenAI for brainstorming (68% of AI users), web search (71%), and suggesting titles or headings (72%).

However, attitudes toward AI depend almost entirely on usage levels. While. Across all writing professionals—users and nonusers alike—91% worry about AI hallucinations, 81% are concerned about AI training on copyrighted content without permission, and 79% fear that AI is eroding the perceived value of experienced writers. Nearly half of freelance writers (45%) report reduced demand for their work, and 73% predict opportunities for writers will decline over the next five years. One speechwriter called AI a “sociopathic plagiarism machine,” while others praised its ability to overcome writer’s block and organize scattered ideas.

Faculty

Faculty show growing but uneven adoption of GenAI, marked by sharp divisions over its role in teaching and learning. A 2025 global faculty survey found that 61% have used AI in teaching, though most do so minimally (Digital Education Council, 2025). In U.S. K-12 settings, around 60% of teachers reported using AI tools during the 2024-25 school year, often for lesson planning and administrative tasks (Walton Family Foundation & Gallup, 2025). Faculty opinions regarding sharply divided, and most universities have avoided adopting clear, school-wide policies. A recent analysis of the top 100 U.S. universities found that more than one-third had ambiguous AI policies, while over half deferred decisions to individual instructors (Wang et al., 2024).

Writing Studies Community

The Writing Studies community is deeply concerned that AI-assisted writing undermines its core values.

Our Coverage

The section of Writing Commons begins with AI Theory, which grounds the conversation in the value of human writing—how it has shaped thought, consciousness, and culture from cuneiform to the word processor, and what it means to compose in an age of intelligent machines. From there, Authorship, Ownership, and Academic Integrity explores the debates over whether GenAI strengthens or undermines authorship, copyright, and trust in academic work. Critical AI Literacy, drawing on guidance from the MLA–CCCC Task Force on Writing and AI, offers practical advice on transparency, citation, and ethical engagement with AI tools. What Research Tells Us About AI and Writing provides a space for scholars to reflect on emerging research addressing foundational questions: How does AI alter students’ writing processes? What is the effect of AI on creativity? Does it diminish or support human agency? How does it affect learning and reasoning?

The remaining sections translate these insights into practice. Social, Political, and Cultural Impacts considers how GenAI affects the environment, labor, politics, and human agency. Critical Thinking and AI demonstrates how writers can use GenAI to test arguments, surface counterpoints, and avoid bias. Learning and AI examines AI’s role as a tutor, collaborator, and aid for managing writing processes. Style and AI explores how AI influences clarity, coherence, inclusivity, and voice, while Writing Processes and AI shows how GenAI intersects with invention, drafting, revision, design, and rhetorical reasoning. Finally, AI Tools surveys the platforms and technologies available, from commercial LLMs to multimodal design tools.

Generative AI is a recent phenomenon, but it belongs to a much longer history of writing technologies. From cuneiform in Mesopotamia to the quill, the printing press, the typewriter, and the word processor, each innovation has transformed how people think, share ideas, and record knowledge. AI continues this tradition—offering new affordances, introducing new constraints, and forcing us to reexamine what it means to write.

AI Theory

While recent, generative AI belongs to a much longer history of writing technologies—from cuneiform to the printing press, typewriter, and word processor—each innovation transforming how people think, share ideas, and record knowledge.

This section lays the conceptual groundwork. Writing is a technology—an invention that has continually reshaped human thought, culture, and power. Here we ask: What is writing? What is the value of human writing? What is authorship? How has literacy evolved alongside tools and media? We also foreground what is gained—and what is lost—when machine-authored prose begins to replace human-authored prose. Chapters address the nature of writing and literacy, the role of authorship, the function of algorithms in shaping what we see, the biases they reflect, and possible futures such as whether humans will continue to write if AI achieves superintelligence.

Authorship, Ownership, and Academic Integrity

AI unsettles long-held ideas about originality, authorship, and intellectual property. This section gathers perspectives from both faculty and students—why some resist AI, why others embrace it, and what those positions reveal about teaching and learning. It also addresses practical questions: Who owns AI-generated work? How should copyright and fair use be applied? How should universities adapt academic integrity policies? These chapters provide clarity for navigating the contested terrain of authorship and ownership in an age of generative AI.

Critical AI Literacy

Using AI responsibly requires more than crafting clever prompts. According to the MLA–CCCC Task Force on Writing and AI, students and educators need guidance on ethics, privacy, disclosure, and citation. This section covers how to recognize ethical challenges, safeguard personal data, be transparent about AI use, and cite responsibly. You will find practical strategies for integrating AI into your writing while protecting your credibility and integrity.

What Research Tells Us About AI and Writing

AI is not only a tool for writing but also a subject of research. Scholars are beginning to study how AI alters writing processes, creativity, human agency, learning, and reasoning. This section synthesizes emerging evidence and asks: Does AI diminish or support creativity? How does it affect student learning? What is its impact on reasoning? The goal is to give students and educators access to the most up-to-date findings about how AI is reshaping literacy.

Social, Political, and Cultural Impacts

Writing with AI is embedded in larger systems. This section highlights the environmental costs of generative AI, its influence on cognitive development and political discourse, and its implications for labor and equity. It asks difficult questions: How resource-intensive is AI? How does it alter human agency? Does it threaten jobs—or even humanity itself? These chapters invite writers to consider the broader ethical responsibilities tied to AI use.

Critical Thinking and AI

AI can simulate dialogue, generate counterarguments, and mirror reasoning, but it cannot think for you. This section shows how to use AI to sharpen your thinking: dialoguing with AI and your inner voice, analyzing citations and scholarly conversations, evaluating credibility and evidence, testing research methods, avoiding confirmation bias, and spotting misinformation or AI-generated content. The emphasis is on agency—treating AI as stimulus, not solution.

Learning and AI

Many students and professionals are experimenting with AI as a teaching assistant or study partner. This section reviews safe and effective uses: paraphrasing and summarization, personalized learning routines, experimenting with style, and managing writing processes. It also addresses how to align your practices with instructors’ policies and disclose your AI use transparently.

Style and AI

Style is central to writing—it shapes how ideas are understood, remembered, and valued. At Writing Commons, our style resources already cover essentials like clarity, brevity, coherence, diction, inclusivity, and flow. This section builds on that foundation, showing how to use AI as a style coach rather than a ghostwriter. You will learn how to engineer prompts that push AI to respect academic and professional conventions, avoid vagueness or jargon, and refine drafts without flattening your voice.

By linking long-standing style advice (e.g., plain language, flow, reader-based prose) with AI-assisted strategies, these chapters help you use AI to improve clarity, test diction, strengthen coherence, and achieve inclusivity—while keeping your judgment and voice at the center.

Writing Processes and AI

Writing is recursive: invention, planning, researching, drafting, revising, and editing all feed into each other. AI now plays a role at nearly every stage. This section explores how to integrate AI into your writing process responsibly. You will learn how to use AI for brainstorming without replacing your own ideas, for researching without bypassing source evaluation, for drafting without outsourcing judgment, and for revising without losing your voice.

Subsections include dialogic processes (treating AI as part of an ongoing conversation alongside your inner speech and felt sense), rhetorical reasoning (stance, audience, appeals), prewriting and invention, planning and organizing, researching, drafting, design, revision, and editing. The emphasis is always on agency: AI should amplify, not replace, human judgment.

AI Tools

This section orients you to the platforms themselves. It surveys major commercial and open-source systems—Gemini, Llama, Qwen, Nous Hermes—as well as AI design tools, coaching tools, search platforms like Perplexity and Elicit, and multimodal generators (text-to-image, text-to-audio, text-to-video). Each entry highlights affordances, constraints, and best uses for writers, helping you choose tools that match your goals.