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The Big Picture July 2, 2026 Updated July 9, 2026

I Built an AI Newsroom That Reads Everything So You Don't Have To.

The news about AI and marketing now arrives from a dozen channels faster than any team can track. So I built a newsroom that reads all of it, and I edit down to what's worth your time.

By Jared Castronova
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Editorial illustration for: I Built an AI Newsroom That Reads Everything So You Don't Have To.
Credit: JAC Growth Marketing

I do marketing for a living, and I can’t keep up with what AI is doing to it anymore. Neither can you. The volume outran the hours a long time ago.

The news doesn’t arrive in one place. It’s a LinkedIn post at 7am, a Slack community thread by noon, four newsletters, a subreddit argument, an earnings call nobody listened to, a trade headline about the jobs AI is erasing, a vendor “study” that’s really a sales pitch. Wynter’s research found 47% of B2B SaaS companies trimmed or stopped replacing marketing roles because of AI in the past year. Gartner has CMOs pushing 15.3% of their budgets into AI while most admit their teams can’t scale it. The biggest shift to hit marketing in a decade is being reported in a thousand tiny pieces across a dozen channels, and most of those pieces are noise.

So the choice most people make is the only one they have time for: skim and hope nothing important slipped past. Then a competitor rebuilds their whole team around AI and you read about it in a case study six months late.

That’s the problem this site was built to fix.

Every morning, this site takes in the firehose of news on AI, marketing, and how it’s connected. Pressrooms, transcripts, trade coverage, the operator communities where stories show up before the press notices.

Everything’s ranked, then the handful of pieces that make the cut are drafted for me to review and publish (or kill).

The machine does the reading and the first draft. I bring my experience and taste to make sure quality doesn’t slip.

Anyone can aim AI at the news and generate summaries. Volume was never the hard part. The hard part is scaling while maintaining those unique insights that people enjoy reading. A machine that never sleeps solves the reading. Humans never leave the loop or give up control.

It’s not lost on me that a publication about AI eating marketing work is written by AI and edited by me.

BUT I’m building this in a way where every quote is verbatim from a public page or said to us on the record. If a claim can’t be verified, it gets deleted. If I get something wrong, I fix it fast, and the rules are written down where you can hold me to them.

You get articles that actually matter, with the sources. I get to keep up with a job that got too big to do by hand, without pretending a machine can do some of this without hurting the output.

Follow along and see if it earns the space in your inbox.

Sources

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