Photo Credit: Matheus Bertelli
We praise AI in coding, design and business. So why does writing play by different rules?
A programmer uses AI. People call it productive.
A designer uses AI. People call it innovative.
A marketer uses AI. People call it efficient.
A writer uses AI. Suddenly the question is: did you even write this?
It’s the same tool. In one job it’s called a smart advantage. In another, it’s called cheating. Why?
AI is already normal at work
This isn’t a debate about the future. It has already happened.
In software, GitHub Copilot is part of daily work for millions of developers. When GitHub surveyed more than 2,000 of them, 88% said they felt more productive with it. In a controlled test, developers using it finished a task 55% faster.
In design, Adobe has said its Firefly AI tool has been used to create more than 12 billion images, and it’s now built into Photoshop and Illustrator.
In customer service, a study by the National Bureau of Economic Research followed about 5,000 support agents. Those using an AI assistant solved about 14% more problems per hour.
To be fair, not everyone cheers. Many artists are angry about AI-made images, and some programmers worry that coders who lean on AI understand less of their own work. But in most workplaces, the question has moved on. We no longer ask whether professionals should use AI. We ask how well they use it.
Except in writing. There, we still start with suspicion.
Why writing feels different
Writing touches a nerve that coding and design usually don’t. There are three reasons.
Writing feels personal. Code is judged by whether it works. Design is judged by how it looks. But writing feels like you. When we read someone’s words, we feel we’re hearing their own voice. If a machine helped, it can feel like they weren’t fully there.
Everyone writes, so everyone judges. Not everyone codes or designs. But everyone wrote essays at school and writes emails at work. So everyone has a strong opinion about what counts as “real” writing.
In writing, we care about honesty more than speed. A faster coder is a better coder. A faster writer isn’t automatically a better writer. Readers don’t want quick words. They want honest thinking.
Research on students shows this tension. In one recent survey, most students said they used AI for grammar, organising ideas and summarising, not for writing whole essays. But whether they felt it was cheating depended less on what they actually did and more on what they believed about it. The same help felt fine to one student and dishonest to another.
People worry that AI will make writing sound better but feel less human. That’s a fair worry. But it points to the wrong question.
The real question isn’t AI
Last month, I spent a full afternoon on one article. I had pages of interview notes, half a dozen tabs open, and a clear idea I wanted to get right. My first draft was messy. I used AI to fix awkward sentences and suggest tighter ways to say what I’d already decided to say. Then I checked every fact, rewrote the opening three times, and cut two paragraphs I liked because they didn’t serve the point.
When I shared it, someone commented: “AI wrote this, right?”
Hours of thinking, research and rewriting, dismissed in two seconds, because I’d been open about using a tool.
That moment stayed with me. Because that person wasn’t really asking about the tool. They were asking whether I had done the thinking.
That’s the real question. Not did AI help? But who did the thinking?
Think about two people who both “write with AI.”
The first starts with a clear point of view, messy notes and real experience. They use AI to fix grammar, tighten sentences and suggest three headlines. They throw out two, rewrite the third, check every fact, and take responsibility for every line. That’s writing with a tool.
The second asks AI to write an article about something they haven’t thought about, copies the result, and posts it. That isn’t writing. That’s handing your thinking to a machine.
Both used AI. Only one did the work of an author.
And we already accept a lot of help without calling it cheating. AI fixing grammar is like spellcheck. AI organising notes is like making an outline. AI suggesting headlines is like brainstorming with a colleague. AI typing up an interview you recorded is like a transcription service.
None of these replace judgment. Copying something you don’t understand does.
What makes someone the author
Three things decide it.
Authorship: the ideas started with you, and you can defend them.
Judgment: you decided what to keep, what to cut, and what’s true.
Responsibility: if something is wrong, you own it, not the tool.
A writer who keeps those three is still the author, even with AI’s help. A writer who gives them away isn’t, even if they typed every word themselves.
A fairer standard
If we want to be fair, we should stop asking “was AI used?” and start asking better questions.
Is it original? Does the writer add something you couldn’t find in ten other articles: a real detail, a fresh angle, something learned the hard way?
Is it accurate? Are the facts checked, the sources real, the claims honest? AI can make things up. A responsible writer catches it.
Is it thoughtful? Can you feel a mind at work behind the words, someone who actually wrestled with the idea?
Is it honest? Does the writer stand behind it?
We already use this standard everywhere else. We don’t disqualify a photographer for using editing software. We ask whether the photo is honest and good. We don’t disqualify a programmer for using Copilot. We ask whether the code works and is safe.
We should ask the same of writing.
Every generation gets better tools
The printing press didn’t replace writers. It created more of them.
Spellcheck didn’t replace writers. It removed a boring obstacle.
Search engines didn’t replace writers. They raised the bar for what counts as interesting.
AI won’t replace writers either. But it will make one thing clearer than ever: the line between writing and copying was never about typing. It was always about thinking.
So the question that will matter over the next ten years isn’t “did you use AI?” It’s “did you think, or did you just copy?”
That’s a standard worth keeping, with or without AI.
By The Lion Capital Editorial Team | October 2026