September 29, 2026, (Inside AI) — The Lenfest Institute for Journalism announced on Monday a major expansion of its AI Collaborative and Fellowship Program, backed by a new $5 million commitment from OpenAI and up to $5 million in software credits and engineering support. The funding doubles OpenAI's previous backing and extends what has become the largest AI fellowship program in American journalism.
The program, launched in 2024 with AI engineering fellows placed in 11 major American news organizations, embeds full-time technologists inside local newsrooms to build practical AI tools and policies. The next phase will invite a new cohort of news organizations and expand the institute's technical capacity to turn fellowship projects into reusable resources for hundreds of outlets.
OpenAI's renewed support signals a deepening bet that local journalism can adopt AI safely when newsrooms have embedded expertise and shared infrastructure. The expansion comes as news organizations face mounting pressure to modernize operations while preserving editorial integrity and public trust.
Inside the Fellowship's First Two Years
Since its launch, the program has evolved from a pilot into a proven model. Fellows work alongside reporters, product teams, and executives to identify organization-specific challenges and build AI solutions. At The Philadelphia Inquirer, the fellowship supported Dewey, a tool that helps journalists search decades of archived reporting, and Scrape, a monitoring tool that transformed a roughly 15-hour-per-week reporting task into a daily digest of potential story leads. At Chicago Public Media, AI-assisted translation workflows enabled faster Spanish-language coverage and transcribed decades-old audio archives.
Other projects addressed advertising prospecting, donor modeling, audience personalization, subscription growth, public-meeting monitoring, and print-to-digital production. Several engineering fellows are expected to stay on as full-time employees at multiple organizations, according to sources familiar with the program.
"The most valuable lesson of the Lenfest AI Collaborative and Fellowship's first two years is that responsible AI adoption is less about the technology and more about trust. The fellows have helped their news organizations build practical tools and drive culture change from the inside -- through clear guardrails, policy standards, and open communication," said Jim Friedlich, Lenfest Institute Executive Director and CEO. "The next phase of the Collaborative and Fellowship Program is an opportunity for more news enterprises to intentionally experiment with AI under the highest editorial standards and with human news judgment at the forefront."
"Over the first two years of this partnership, it's been wonderful to see so many practical examples of journalists using AI as a tool to help deliver quality local news," said Tom Rubin, OpenAI Chief of Intellectual Property and Content. "Local news plays a vital role in building the human connections that make a neighborhood, town, or city truly feel like a community. We're excited to expand our partnership with The Lenfest Institute to support even more journalists in this important work."
From Newsroom Experiments to Shared Infrastructure
The program's next phase will broaden its reach beyond the original cohort. The Lenfest Institute plans to expand its technical capabilities to convert the strongest fellowship projects into reusable tools, frameworks, plugins, implementation guides, and playbooks. The goal is to make cross-newsroom learning sustainable and scalable, so a tool developed in one organization can become shared infrastructure for the broader field.
This shift from experimentation to scalable impact addresses a persistent challenge in journalism technology: innovations often remain siloed. During the pilot, fellows shared code, adapted one another's ideas, and compared implementation strategies. Tools originating in one newsroom became starting points for solving related problems elsewhere. The institute now aims to formalize that organic collaboration.
The expansion also reflects a broader trend of AI companies investing in journalism. OpenAI has pursued partnerships with news organizations amid ongoing debates over content licensing and fair use. The Lenfest program's emphasis on responsible adoption, guardrails, and human oversight aligns with those efforts.
Inside AI could not independently verify the specific financial terms or the number of organizations expected to join the next cohort. The Lenfest Institute said it will invite a new group of news organizations, but did not disclose a timeline or selection criteria.
As local news continues to struggle with declining revenues and shrinking newsrooms, the fellowship offers a model for embedding technical talent directly into organizations. The program's focus on trust, collaboration, and organizational needs over pure technology suggests that successful AI adoption depends as much on culture as on code. The next phase will test whether that model can scale beyond a handful of newsrooms to benefit hundreds more.
Shamil has a low tolerance for AI that only works in controlled demos. He covers agentic systems and generative AI with the skepticism of someone who has seen too many “revolutionary” tools quietly disappear six months after launch.
