The Cleveland Plain Dealer is 184 years old. It has survived the Civil War, two World Wars, the internet, and the slow collapse of the newspaper industry. Now it’s trying to survive something new: the economics of local news in 2026.

Its strategy? Hire an AI to write the stories.

How It Actually Works

In January, editor Chris Quinn hired Joshua Newman as the paper’s first “AI rewrite specialist.” Newman’s job isn’t to report. He doesn’t go to city hall meetings or knock on doors. Instead, reporters in the field send him their notes, facts, and quotes. Newman feeds those notes into ChatGPT, which drafts the article. Newman then fact-checks the output, and the original reporter reviews it one more time before it goes live.

The system is designed for the kind of stories that local papers used to cover routinely: a zoning board meeting in Lake County, a new business opening in Geauga County, a community event in Lorain. Stories that matter to the people who live there but don’t justify sending a reporter to spend three hours writing 600 words.

When the AI does most of the heavy lifting, stories get a co-byline: “Advance Local Express Desk.” When a reporter puts in substantial work, only their name appears.

The result? Reporters are now expected to file four stories a day with AI assistance. That’s a pace no human writer could sustain alone, at least not without the quality dropping off a cliff.

The Numbers Tell a Brutal Story

Here’s the context that makes this whole thing make sense: the Plain Dealer had roughly 400 staff in the late 1990s. Today, it has 71. That’s an 82% reduction in the people who gather, write, and publish news for one of America’s major metro areas.

And the Plain Dealer is lucky. It’s still alive. Since 2005, more than 2,900 newspapers across the United States have closed entirely. The ones that survived got smaller, covering fewer stories in fewer places.

Quinn’s argument is simple: the stories that AI is now drafting are stories that weren’t getting written at all. Nobody was covering that suburban zoning meeting. Nobody was writing up the county fair results. Not because nobody cared, but because there weren’t enough reporters to go around.

The AI rewrite desk generated over 10 million page views last year. That’s traffic. Traffic is advertising revenue. Revenue keeps reporters employed. It’s a survival calculation, not an editorial philosophy.

The Backlash Was Immediate

Not everyone sees it that way.

Former Financial Times editor Lionel Barber called Quinn’s approach “beyond dumb.” Cleveland Scene’s Sam Allard labeled the operation an “AI content farm.” Phil Lewis, a HuffPost editor, suggested Quinn should resign.

Anonymous Plain Dealer staff told reporters at other outlets that morale had dropped. Some worried about what the system means for training junior reporters. If AI writes the straightforward stories that new journalists traditionally cut their teeth on, how do beginners learn the craft?

The American Press Institute criticized Quinn’s defense as “anecdotal,” saying he hadn’t adequately explained how AI-drafted stories actually improve journalism rather than just produce more content faster.

These aren’t trivial concerns. The argument against AI-written news isn’t just about quality control. It’s about what a newspaper is for. If the point of journalism is to inform communities, then more stories covering more topics might genuinely serve readers better. But if journalism requires human judgment, editorial instinct, and a reporter’s ability to notice when something doesn’t add up, then cutting humans out of the writing process, even partially, changes what readers are actually getting.

The Safeguards (and the Gaps)

Quinn’s team has built verification checkpoints into the system. Both Newman and the original reporter check every AI-drafted story before publication. Quotes get special attention because they’re the most common place where AI hallucinates.

Leila Atassi, the public interest editor overseeing the program, confirmed that hallucinations do occur in the drafts. None have made it to publication, she said. That “yet” hangs in the air, unstated but obvious.

The deeper issue isn’t whether a fabricated quote slips through today. It’s what happens when this system scales. When every newspaper in America has its own AI rewrite desk. When the four-stories-per-day target becomes eight. When the economic pressure that created this system pushes it further than the safeguards can handle.

Quinn compared AI to Microsoft Excel, calling it a neutral tool that requires no special disclosure. That’s an interesting analogy. Nobody worries that a spreadsheet will invent data. ChatGPT will.

What This Means for You

If you read news online, some of what you’re reading is probably already AI-assisted. The Plain Dealer is notable because it’s transparent about it. The “Advance Local Express Desk” byline tells you exactly what happened. Most outlets that use AI for drafting, summarizing, or reformatting content don’t tell you at all.

The bigger question isn’t whether AI can write a news article. It clearly can, at least for straightforward reporting. The question is whether readers can tell the difference and whether it matters if they can’t.

A story about a zoning meeting that covers the key votes, the public comments, and the outcome serves its readers regardless of who (or what) assembled the sentences. But a story about a local official’s potential conflict of interest needs a reporter who can sense that something is off, who can push back in an interview, who can connect dots that aren’t in the press release.

AI can do the first kind of story. It can’t do the second. The challenge for every newsroom adopting this technology is knowing which is which.

The Survival Test

Here’s the uncomfortable bottom line: the Cleveland Plain Dealer is trying not to die.

The old model of local journalism, where a large newsroom full of reporters covered every corner of a metro area, is gone. It’s not coming back. The advertising revenue that funded it moved to Google and Facebook a decade ago. What’s left is a skeleton crew trying to serve a city that still needs local news.

Quinn isn’t wrong that AI can help fill the gap. Barber isn’t wrong that something important gets lost when machines write the news. Both things are true at the same time.

What makes the Plain Dealer’s experiment worth watching isn’t the technology. It’s the honesty. They’re publicly testing a model that most of the industry is quietly considering. They’re showing their work. And they’re forcing a conversation that readers, journalists, and communities need to have before AI-written news becomes so common that nobody notices anymore.

Because that’s where this is headed. Not with a dramatic announcement, but with a quiet byline change that most readers scroll right past.