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OpenAI Doubles Support for Lenfest AI Collaborative with $5M Commitment

·2026.09.28 16:00

Key point

The expansion includes up to $5 million in software credits and engineering support to scale AI adoption in local news.

Details

The Lenfest Institute for Journalism and OpenAI have announced the next phase of the Lenfest AI Collaborative and Fellowship Program, marking a significant expansion of the largest AI fellowship in American journalism. OpenAI has doubled its previous support with a new $5 million commitment, alongside up to $5 million in software credits and engineering support. This investment aims to accelerate responsible AI adoption and business sustainability for local news organizations.

Proven Impact in Local Newsrooms

Since its launch in 2024, the program has embedded full-time AI technologists in 11 major American news organizations. These fellows work directly with newsroom leaders, reporters, and product teams to build practical solutions and ethical guardrails. Key outcomes from the pilot include:

  • The Philadelphia Inquirer: Developed Dewey, a tool for searching archived reporting, and Scrape, which reduced a 15-hour weekly task to a daily digest of story leads.
  • Chicago Public Media: Implemented AI-assisted translation workflows to publish Spanish-language coverage faster and transcribe decades of audio archives.
  • Cross-Organization Innovation: Tools and code are shared among fellows, allowing breakthroughs in one newsroom to serve as starting points for others, such as The Baltimore Banner adapting work from The Philadelphia Inquirer.

Lessons and Future Scalability

The pilot revealed that successful AI adoption relies more on trust and collaboration than technology alone. Fellows hired locally integrated into organizational cultures, focusing on specific pain points rather than forcing predetermined technical solutions. The next phase will expand the cohort to include a wider range of news organizations and develop reusable tools, frameworks, and playbooks. This shift aims to transform isolated experiments into shared infrastructure, enabling hundreds of newsrooms to benefit from innovations developed within the fellowship.

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