
Jim Friedlich, David Chivers & Matt Boggie: How the Lenfest AI Collaborative placed AI engineers in 10 newsrooms
Newsroom RobotsShow Notes
The Philadelphia Inquirer never had an AI engineer on staff until the Lenfest AI Collaborative & Fellowship program changed that.
The collaborative is a $5 million partnership between the Lenfest Institute, OpenAI, and Microsoft that placed 10 AI fellows in American newsrooms for two years. These engineers work within the organizations, building tools that solve real newsroom problems.
This week on Newsroom Robots, host Nikita Roy sits down with Jim Friedlich, CEO and Executive Director of the Lenfest Institute, David Chivers, lead advisor to the Lenfest AI Collaborative and Matt Boggie, CTO of The Philadelphia Inquirer, to walk through how the program works and what the Inquirer has built as a result.
The Inquirer came to the collaborative with an idea to build a full-archive search tool that would let reporters query decades of journalism. They expected it to take 24 months. Within two weeks of a Microsoft hackathon, they had working code. The tool, now called Dewey, searches everything the Inquirer has published since 1978.
This episode covers:
03:02 — How the Lenfest AI Collaborative got started
05:34 — Can newsrooms trust big tech partners?
08:33 — How the fellowship works day to day
14:52– Inside the Microsoft hackathon that built Dewey in two weeks
21:37 — Training journalists to understand LLM limitations
24:07 — How AI literacy has changed newsroom culture
29:45 – How small newsrooms can get started with AI
35:14 — AI answers, search decline, and the future of audience traffic
38:15 — Rethinking journalism’s role in an AI-mediated world
41:23 — Closing reflections and personal AI use
This episode of Newsroom Robots is supported by the Lenfest Institute for Journalism.
Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.
More from Newsroom Robots
For most of journalism’s history, the article has been the atomic unit of news: a fixed container, written once and served the same way to everyone. That’s beginning to change. AI is moving out from behind the scenes, where it quietly powered efficiencies, and into the interface itself, where it can assemble, personalize, and adapt the news to each reader.
At The Seattle Times, an AI tool identified a new prospect and helped close additional ad revenue in a single day. The Seattle Times is one of 11 news organizations participating in the Lenfest AI Collaborative and Fellowship Program, funded by OpenAI and Microsoft. Through this initiative, AI engineering fellow Rajesh Barade worked with the advertising team to address their challenges and developed a prospecting agent. This tool enables sales representatives to enter a category or focus area, identify businesses spending in that market, find decision-makers, access advertising spend data, and generate personalized outreach.
For years, the aggregator model was simple: curate the best journalism from thousands of publishers and send audiences their way. Now that contract is being rewritten, and Yahoo News is one of the most interesting places to watch it happen.
AI is settling in as infrastructure within newsrooms, a layer quietly reshaping how journalists discover information, how stories move through production, and how audiences increasingly expect news to reach them.
Most major newsrooms have now moved beyond early experimentation with AI. The main challenge now is determining how to govern effectively, scale consistently, and strategically position AI across the entire organization—while maintaining public trust as a central priority.