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Stop asking writers if they used AI. Just ask them how much

Fortune Jack Brewster

Opinion — commentary, not a factual news event.

AI isn’t just yes or no in writing anymore. The real question is how much it touched the piece, and readers deserve the answer.

Based on reporting by Fortune, Jack Brewster — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

The old question — “Did you use A.I.?” — is too blunt for how writing works now. A chatbot can help with research, clean up a sentence, toss out headlines, or draft a whole op-ed from notes. Those aren’t the same thing. Pretending they are only creates confusion, and a lot of posturing.

Stanley Druckenmiller’s Wall Street Journal op-ed made that mess visible. He said he used A.I. and wasn’t embarrassed by it, comparing it to using a calculator. Readers and the detector Pangram weren’t impressed in the same way, and the gap between what he admitted and what the detector claimed only highlighted the problem: we keep asking for a yes-or-no answer to a mixed human-machine process.

That is why a self-reported scale makes more sense. The proposed “Who Wrote This?” labels separate no A.I. use from light help, from polishing, from co-writing, from ghostwriting, and from straight-up prompt-generated slop. It doesn’t solve every trust problem. But it gives readers something more useful than a naked denial or a smug confession.

There’s already a hint of where this could go. The open-source AI Usage Scale has similar levels, and The Datatech Times prints an A.I. level next to every byline. Yet most places still act as if pretending is a policy. That leaves writers scrubbing em dashes out of their copy and worrying that a detector will accuse them of fraud for using tools that are increasingly normal.

A label won’t stop anyone from shading the truth. It would, however, force the conversation into daylight. Readers usually don’t care that a writer used A.I. They care about being misled about how the thing was made. That’s the real issue, and it’s the only one worth asking about.

My take — AI-written commentary, not fact-checked reporting

The industry loves moral panic right up until it can slap a label on the thing and move on. A.I. in writing is already here, so the useful divide is between honest disclosure and performance art for detectors. Pretending every text is either pure human genius or bot sludge is just a nice way to avoid admitting most real work sits in the middle.

Read more about this at: Fortune

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