But in the long term, AI-detection features could help keep Substack free of “AI slop” and encourage more users to trust what they’re reading was written by a person, or at least better understand when it’s not.
Substack joins several platforms that are leaning toward labeling AI content:https://techcrunch.com/2026/05/27/youtube-will-now-automatically-label-ai-videos/ as such, especially now that AI is playing a greater role in the creation process. Photos and videos generated with AI are labeled:https://techcrunch.com/2024/05/09/tiktok-automatically-label-ai-generated-content-created-other-platforms/ on social media sites, while music streaming services:https://techcrunch.com/2025/09/25/spotify-updates-ai-policy-to-label-tracks-cut-down-on-spam/ have more recently begun labeling and, in some cases, penalizing:https://techcrunch.com/2026/06/29/tidal-cracks-down-on-ai-music-by-cutting-off-monetization/ AI-generated music.
“This is good use of AI,” Substack CEO Chris Best said.
“When I used to pitch Substack to writers, one way I would do it is … we’ll do everything for you except the hard part,” he explained in an online chat:https://substack.com/@cb/note/p-207964775 with Pangram’s founder, Max Spero. “You have to have something — an idea that’s worth reading, that’s worth caring about, that’s worth sharing. That one thing is very hard and very valuable … [S]oftware should do everything else, but I think you do want the person to do the hard part.”
The feature will be available in Substack’s app for any post, note, reply, or comment above 100 characters. Substack will also allow its writers to include an optional AI author’s note, using which creators can properly disclose their use of AI, the company told TechCrunch.
The company clarified that the tool is not meant to prohibit or penalize AI-assisted writing, but rather to encourage writers to add a “how I make this” statement, where they explain their process.
Publishers can also run Pangram on their own drafts before publication, and report and remove scans on their own work they believe are mistakes.
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