AI agents can write the story, but they can’t get anyone to talk
AI agents are applying for freelance writing gigs, and their copy is passable. But there's a better way to put agents to work.
Pete Pachal is the founder of The Media Copilot. In addition to producing the site’s newsletter and podcast, he also teaches courses on how journalists and communications professionals can apply AI tools to their work. Pete has a long career in journalism, previously holding senior roles in global newsrooms such as CoinDesk and Mashable. He’s appeared on Fox Business, CNN, and The Today Show as a thought leader in tech and AI. Pete also puts his encyclopedic knowledge of Doctor Who to good use on the popular podcast, Pull To Open.

AI agents are applying for freelance writing gigs, and their copy is passable. But there's a better way to put agents to work.

Publishers have every reason to be suspicious of Meta, but the bigger issue is that nobody has decided what AI agents are allowed to do.

AI buyers are starting to pay publishers when their content shows up in answers, but how to measure value is still an open question.

A test with Meta's Muse shows how AI recommendations can lean on a reviewer's work while sending the sale somewhere else.
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PR teams now measure how often AI cites a reporter's work, and that's an opening for beat journalists and the outlets that back them.

A real market for AI inference is forming, with payment rails to match. What publishers still lack is leverage.

Opportunity AI asks what your audience could get from you that they never could before.

Every new AI release lands the same way: better tool, more backlash. For newsrooms, the fix is a name someone can actually hold responsible.

The instinct to block AI bots understandable, but verifying bots protects your content while letting you compete for AI visibility.

A billionaire's AI-written op-ed set off a credibility fight that no detector could have prevented.
