Substack is betting readers will pay more for human writing than AI slop
Substack is betting readers will pay more for human writing than AI slop
Substack is making a blunt wager about the future of online writing: that in an internet crowded with automated content, readers will increasingly want proof that a person was actually behind the words.
Its new partnership with Pangram, an AI-detection company, is meant to supply that proof — or at least an estimate of it — across posts, comments, replies, and notes on the platform.
The move is being framed less as a crackdown on AI than as a transparency push. According to reports, users on the web and iOS app can scan text longer than 100 words to see how much may have been written by AI, with Android support expected later. Writers can also scan drafts themselves, dispute results they believe are wrong, and add a “How I make this” disclosure explaining their process.
Substack’s argument is that the real problem is not AI use by itself, but confusion over authorship. CEO Chris Best has said the issue arises “when there is a mismatch between a reader’s expectation and reality,” especially when people invest attention in content with “no human thought on the other end.” Axios described the broader business logic more plainly: Substack is betting subscribers and sponsors still “value authenticity” and will pay for work “verifiably created by humans.”
That said, the tool cuts both ways. TechCrunch noted it could hurt Substack in the short term by exposing how much content on the platform is not entirely human-written, potentially shaking confidence in an ecosystem built on independent voices. But the same report argued that, over time, clearer labeling could help keep out “AI slop” and strengthen trust rather than weaken it.
In that sense, the debate is not really about banning AI. It is about whether platforms can preserve the value of human authorship while acknowledging that AI is already part of the writing process — and whether readers will reward that honesty.
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