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Reporting Your Way Out of the AI Trap

Jun 27
1 min read

Updated: Oct 5


A lone writer works at a desk lit by a single lamp amid a vast field of scattered papers, symbolizing original reporting that stands out from AI-generated aggregation.

Last month, we wrote about Sean Highkin leaving Substack. This month, two more journalists are answering the same question from the other side — not which platform, but what's worth paying for.


Casey Newton is steering Platformer hard toward original reporting, away from aggregation, on the theory that the one thing a machine can't fake is reported, accountable, first-hand work. The same week, veteran AI reporter Sharon Goldman launched Ground Level AI, an independent newsletter and podcast covering enterprise AI on her own terms.


It's the bet the Prize makes on mid-career journalists every year: that the durable moat isn't the platform, it's the work — and the judgment behind it.


Stories on press freedom, the Prize community, and the work of the Neal Conan Prize Winners and Neal Conan Laureates — once a month, on the last Saturday.

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