How to Write with AI Without Losing Your Choice or Flattening Your Voice

A guide to writing with AI.

The debate over AI-assisted writing is too simple. The real question is whether a writer owned the ideas, the judgment, and the voice.

I’ve always had more ideas than time.

Back in my ad agency days as a copywriter and creative director, the ideas weren’t the problem. Getting them out of my head and into something worth presenting was the work. Many ideas never saw the light of day.

AI has changed this. It helps me develop ideas and iterate more efficiently. Through conversation, research and feedback, I get more ideas to a much better place quickly.

I still rewrite. I still rearrange. I still question the logic and change words long after a draft is done (like tweaking a blog article on Saturday morning after publishing it on Friday).

But thanks to AI assistance, I can publish more and go deeper, getting to ideas that used to die on the vine.

When gen AI arrived in 2022, I wrote about where it should and shouldn’t be used without using it in my own writing process. Over time, that felt incomplete. To teach students how to use AI responsibly, I need to learn to use it thoughtfully and transparently myself.

By 2025, I began testing AI in my own writing process. My writting with AI has always been AI assistance, but there’s a lot of nuance to it.

How you use AI in writing matters, especially now that writers, editors, and publishers are increasingly worried that any AI use will cause thoughtful work to be dismissed as AI slop.

TheWall Street Journal has reported writers intentionally adding typos and removing their authentic voice to avoid being labeled as AI, comparing it to a “new McCarthyism.”

What Makes Writing Feel Like AI?

I listened to an interview with Max Spero, CEO of Pangram, one of the more sophisticated AI detection tools. When asked how it works, he described writing as a decision tree.

Every word, sentence, and structural choice sends you down a path. As a piece of writing gets longer, the number of possible paths grows. Yet large language models tend to make similar choices repeatedly. Spero described this tendency as “mode collapse.”

Think about a good conversation. You may begin with a topic, then wander into an unexpected story or follow a tangent that turns out to be more interesting than your original thought. Humans take tributaries. AI tends to steer back toward the center.

In his newsletter, Christopher S. Penn gives us another clue: surprise. AI-generated text often has a more regular rhythm, more predictable word choices, and fewer unusual turns.

Human voice lives in irregularities: an odd phrase, abrupt sentence, unexpected detail, or personal reference no one else would think to include.

Like a headline and subhead I once wrote for a health insurance client:

“Five great places to pass a kidney stone. No one plans for these things, that’s why we do.”

That unexpected turn won us the account and won the client new customers. AI would never write that line. Unexpected requires breaking from the predictable path, exactly what AI is trained against.

This doesn’t mean unusual writing is automatically good writing. A paragraph can be unpredictable and make no sense. But voice is not simply a vocabulary list. It comes from the accumulated choices you make as a writer.

The contrast has shown up in my LinkedIn feed. Why do many posts look the same now? Stacked single sentences. White space. Staccato pacing to pull you down the scroll.

I’ve followed some people for years and have read their work elsewhere. I’ve enjoyed their distinct writing styles. It’s sad to see some of that voice disappear as AI nudges more writers toward the predictable path. People have always considered the algorithm. But AI makes that optimization faster, more confidently, and available to all with an easy click.

AI Can Flatten Writing

At one end of the scale, someone types a prompt, copies the answer, and publishes it without much thought. The ideas may not be theirs. The examples may not be real. No one checks the facts or questions whether the piece is worth publishing.

At the other end, a writer brings an original idea and uses AI as a research assistant, editor, or thought partner. The writer tests the argument, rejects generic suggestions, rewrites sections, adds personal experience, and takes responsibility for each decision and fact. They’re not the same process.

AI use is on a scale that shouldn’t be flattened into a simple label.

There’s also an important distinction between writers at different stages of development. For a student or less experienced writer still finding a voice, the rough draft and other parts of the process still need to be theirs.

The struggle of shaping an argument isn’t wasted time. It’s how judgment develops. Experienced writers may lose some skills to AI, but too much cognitive offloading in students means they may never develop them.

A Guide To Using AI Without Losing Your Voice V2
Click in graphic to download a PDF. Graphic created by ChatGPT.

This distinction became clearer listening to Mitch Joel’s conversation with communication coach Carmine Gallo. He makes an important point about great communicators.

What looks effortless rarely is. A Steve Jobs keynote may have felt simple, natural, and spontaneous. But it was the product of hours of planning, preparation, feedback, and practice. The ease was earned through repetition.

With AI, students and young professionals can produce something polished without putting in the reps that build the underlying skill. The danger isn’t only AI flattenning their voice. It may prevent them from developing one in the first place. An MIT study on essay writing with ChatGPT called this risk “cognitive debt.”

Some friction keeps an idea trapped in your head. But other friction is how you learn to think, write, and communicate. Outsource too much too early, and you may never build the judgment you’ll need when an AI answer is wrong, generic, or not good enough.

How Do You Protect Your Voice?

Throughout the writing process, I keep asking:

Am I reacting to the AI, or is the AI reacting to me?

Did I bring the idea, the story, the analogy, the point of view? Or did AI give me an idea and I simply made it sound a little more like me?

Each choice matters. Don’t let AI decide your opening story before you have one. Don’t accept the obvious analogy because it arrived quickly. Don’t let AI arrange every thought into the same polished structure.

Even when the original words are yours, AI can flatten your voice by arranging those words into a more predictable pattern. Penn makes a memorable example with Yoda from Star Wars. AI would rearrange Yoda’s words into a conventional sentence structure. The meaning remains, but Yoda disappears.

It’s a subtle risk. The ideas and message could still be yours while the writing becomes less recognizably yours. AI can be a good editor. But a good human editor, like my editor at Bloomsbury, knows not to turn every writer into the same writer.

The headline of this blog article became an example. AI confidently suggested a more grammatically polished version:

“How to Write With AI Without Losing Your Voice — or Your Judgment.”

I kept coming back to “losing your choice or flattening your voice.” The choice / voice rhyme felt more memorable to me, probably because of my years writing advertising headlines. It may not be perfectly constructed. But it sounds more like something I would write and say.

Without confidence in my own writing voice, I might have easily abdicated that decision. Sometimes the slightly unexpected phrase is not a flaw to smooth away. It is the voice.

ChatGPT said my phrasing was awkward. But it delivered that advice with personal language: “My favorite…” “My recommendation…” You have to remember there’s no person behind the “my.” AI is not my human editor, no matter how confident it sounds.

You still have to be the human in the room. Trust your intuition, draw on your experience, and check everything.

More than once, AI has confidently given a statistic, a source, or a link that sounded like what I was looking for. Only when I questioned it did Gemini, ChatGPT, and Claude apologize and acknowledge that the source didn’t exist.

AI can help find a lead. That doesn’t relieve you of the responsibility to open the link, verify the claim, and decide whether the evidence supports your point. See below for ChatGPT admitting it’s limitations.

 A screen shot of a ChatGPT response.
A look into the process of working with AI on this article.

Assistance Is Not Replacement

Writers have never worked entirely alone. Books have editors. Academic articles have reviewers. Journalists have fact checkers. Copywriters have creative directors and proof readers. I really miss those proof readers!

I became a better writer because other people challenged my work, questioned my logic, and told me when an idea wasn’t there yet. AI can play a useful supporting role. It can identify an unclear paragraph, find a source, suggest a counterargument, or help a writer get unstuck.

AI assistance is different from publishing thousands of synthetic posts under fake names or filling the internet with auto-generated comments no human thought deeply about.

At the same time, readers should know when AI played a meaningful role. Disclosure matters. But collapsing every kind of AI assistance into a single category doesn’t help us think more clearly about authorship.

Using AI to write gives us more power to develop ideas, follow new tributaries, and get thoughts into the world that might otherwise not make it. But that power comes with responsibility. We have to make the important choices. We have to protect our voice, verify our sources, question the confident answer, and remain accountable for what we publish.

If you want to write something worth reading, you still have to be the human in the room.

The central idea for this post was mine. I used ChatGPT and Claude as thought partners to test the argument, identify possible supporting sources, and follow new tributaries opened by listening to the Spero interview, reading Penn’s newsletter and Joel’s conversation with Carmine Gallo. I opened and checked AI sources before using them. I rewrote, reorganized, added, cut, and edited through multiple rounds. That included rejecting smoother suggestions when a less predictable phrase (the headline’s choice / voice rhyme) sounded more like me. The experiences, ideas, opinions, and final decisions are my own.

AI Can Now Finish Content Before Thinking Even Starts

AI can generate posts, videos, and avatars from start to finish. But brands need to begin with human strategy, insight, and story.

TikTok Generates the Video. But Who Is Making the Strategic Decisions?

TikTok’s Symphony Creative Studio offers a glimpse of where social media content creation is heading.

Give it a product description, URL, or a few existing assets, and it can help generate a finished TikTok-style video in minutes. It will generate scripts, visuals, produce digital-avatar videos, and support translation and dubbing.

For a small business with limited resources, that could be useful. For a larger brand, it could help test different hooks, create variations, localize content, and speed production.

But it also raises a question: What happens when AI can finish the content before strategic thinking even starts?

Who decided what the audience cares about? Who identified the insight and the brand’s point of view? Who judged whether the content was worth making in the first place?

Used well, tools like Symphony can help execute a strategy. But they shouldn’t replace the thinking behind it.

This is what opened my eyes to a strategic. and if were not careful talent gap. that may be emerging. TikTok AI Creative Studio, URL to finished AI avatar reel in seconds.

A Well Produced Commercial Is Not Necessarily an Effective One

The power and risk of AI-generated content remind me of something I learned years ago working in advertising.

A TV commercial set can be built well. The lighting can be right. The details can look convincing. The final edit can be polished. And the production value can be impressive. But it can still fail.

It can look good without connecting. It can communicate a message without meaning. It can be professionally produced, but still not give the audience a reason to care. The set is not the story.

That lesson is supported by research I did with Michael Coolsen. We analyzed 108 Super Bowl commercials and found it wasn’t the highly produced use of celebrities, animals, humor, or sex appeal that predicted likability. The underlying factor was whether the commercial told a story that resonated. Ads with more complete story arcs earned higher ratings.

We found a similar result in another study, “Drama Goes Viral: Effects of Story Development on Shares and Views of Online Advertising Videos.” After analyzing 155 viral ad videos, we found that YouTube videos with fuller story development received significantly more shares and views.

Production value can bring an idea to life, but it can’t replace the idea. AI makes that distinction more important than ever.

Use AI to Save Time. Then Spend the Time Better.

When I first started using a social media marketing simulation in class, I noticed something interesting.

The students who did well were not always the ones with the best post idea. They were often the ones willing to spend time on the grunt work of creating dozens of variations. They tested different headlines, rewrote copy, changed images, adjusted calls to action, and created platform-specific versions.

Through repetition, they learned that social media strategy is not about finding one perfect post. It is a disciplined process of creating, testing, learning, revising, and improving.

That used to be a big part of the lesson. It still is. But the work has changed.

Today, I don’t want students spending hours producing endless minor variations of posts. Generative AI can help with that. It can draft alternate captions, headlines, and calls to action, suggest image directions, and adapt content for Instagram, TikTok, LinkedIn, or X.

The same is true for social media professionals. AI can help teams create more variations, respond faster, localize content, test ideas, and stretch limited resources.

But the time saved should not automatically be used to create even more content. It should be used to think more deeply about the content.

The set is not the story. Gemini created this image, but without me directing it there is no human insight, experience or story to tell.

AI Can Improve the Finish

One of the most useful applications of AI is helping people visualize ideas that might otherwise remain abstract.

In the past, a student could describe a campaign concept or create a rough sketch, but it was harder to show what the idea might actually feel like in the feed. A social media strategist faced the same challenge when pitching an idea to a client or internal team.

Now AI can help create sample posts, test visual directions, generate platform-specific variations, and produce rough examples of Reels or short-form videos.

In one of my classes last semester, students used an AI tool to create a full example Reel for Starbucks. That didn’t mean AI developed the strategy. It meant the students could show the idea more clearly. It also doesn’t mean a final Starbucks Reel wouldn’t feature people instead of AI avatars.

A good mockup moves a concept from “Trust me, this could work” to “Let me show you what this could look like.” For students building portfolios and professionals selling ideas, that is a meaningful shift.

It makes me think about my own experience. After college, I took my advertising portfolio around agencies in New York. Creative directors could see I had strategic thinking and creative ideas. But my finish wasn’t there.

A creative director at Cliff Freeman told me I wouldn’t get the job I wanted until I improved the finish of my portfolio. He recommended Portfolio Center. That is what I did.

Today, students and young professionals may face the opposite problem. AI can produce the finish. But the strategic thinking, human insight, and creativity may not be there.

A polished AI-assisted Reel is not automatically a good strategy. AI can improve the finish. You still need to develop the idea.

Marketers May Be More Enthusiastic About AI Than Consumers

Marketers and consumers are not on the same page about AI-generated content.

Research released by the Interactive Advertising Bureau found that while 82% of advertising executives believed Gen Z and Millennial consumers felt positive about AI-generated ads, only 45% of those consumers actually did.

That doesn’t mean audiences reject every use of AI. Context, creative quality, disclosure, platform, and message all matter. But we shouldn’t assume AI feels innovative or appealing to the people they’re trying to reach.

An academic study in the Journal of Retailing and Consumer Services found negative reactions when brands used generative AI to create social media content. People had lower perceptions of brand authenticity. Yet, the negative effects were weaker when AI assisted human creators rather than replaced them.

That distinction matters. AI-assisted is not the same as AI-replaced.

When Content Shock Becomes AI Slop

More than a decade ago, Mark Schaefer warned about “Content Shock,” the growing volume of digital content competing for a fixed amount of human attention. He recently revisited that idea in “How to Overcome Content Shock in a World of AI Slop,” arguing that generative AI accelerates the problem.

I think he is right. AI lowers the cost of creating content at the moment when creating more content becomes less valuable.

If every brand can produce more posts, videos, images, and synthetic creators faster and cheaper, feeds will fill with material that looks polished but doesn’t feel like it came from anyone. It may look professionally produced. It may fill the content calendar. But it may not mean much to anyone.

The brands that stand out now will not necessarily be the ones that generate the most content. They’ll be the ones that bring a real audience insight, a distinctive voice, a surprising concept, and a community that genuinely cares.

Start With Human Strategy and Story

I’m not saying students or social media professionals should avoid AI. It is too useful to ignore. The issue isn’t whether AI should be part of the process. It is whether people remain in control of it.

That means deciding what problem you’re trying to solve, what audience insight matters, and what story is worth telling — before AI generates anything. It means judging what output is worth keeping and what shouldn’t be published at all.

It also means doing the work AI can’t do for you. Listening to real comments and real conversations in a social media audit. Finding the human story. And before publishing, asking whether the content deserves to exist, not just whether it was easy to create.

AI can now finish content before the thinking even starts.

But brands still need to start with human strategy, insight, and story.

This post was created with the assistance of ChatGPT and Claude. The ideas, experiences, and opinions are my own.