Tech4 hrs ago

Google News Lab Trainer Shows AI Tools for Business Reporting

Colleen Kimmett demonstrated AI tools Notebook LM and Pinpoint to help business journalists with transcription, research, and data analysis.

Alex Mercer/3 min/NG

Senior Tech Correspondent

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From a low-angle perspective, a person in a blue jacket holds a grey Pixel phone. A bright blue sky and white architectural beams fill the background.

From a low-angle perspective, a person in a blue jacket holds a grey Pixel phone. A bright blue sky and white architectural beams fill the background.

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*TL;DR – Google News Lab trainer Colleen Kimmett showcased AI‑driven Notebook LM and Pinpoint, tools that streamline transcription, research and data analysis for business journalists.*

Context On April 28, 2026, the National Press Foundation’s Local Business Journalism Fellowship gathered reporters for a hands‑on AI briefing. The fellowship, backed by the U.S. Chamber of Commerce, continues a training program that began in 2025 to boost local business coverage.

Key Facts Colleen Kimmett, a senior trainer at Google News Lab, led the session. She demonstrated Notebook LM, a large‑language‑model notebook that can generate summaries, extract key figures, and suggest story angles from raw data. She also walked participants through Pinpoint, a tool that automates transcription of interviews and flags relevant quotes for quick inclusion in articles. Both applications aim to reduce manual labor and improve accuracy in reporting.

The training emphasized practical workflows: journalists upload audio recordings to Pinpoint, receive time‑stamped transcripts, and then use Notebook LM to query the text for trends or statistical insights. Kimmett highlighted real‑world examples, such as analyzing quarterly earnings calls and mapping supply‑chain disruptions across regions.

What It Means For local business reporters, the tools promise faster turnaround on stories that rely on dense financial data or lengthy interviews. By automating transcription, journalists can allocate more time to verification and storytelling rather than typing. Notebook LM’s ability to surface patterns may help smaller newsrooms compete with larger outlets that already employ sophisticated data teams.

The session also addressed common newsroom concerns. Kimmett noted that AI outputs should be treated as drafts, not final copy, and that editors must verify facts against primary sources. She stressed that the tools retain user‑controlled data privacy, a critical factor for outlets handling sensitive corporate information.

As AI adoption expands, the National Press Foundation’s fellowship will likely incorporate more advanced modules, tracking how reporters integrate these technologies into daily workflows. Future sessions may explore AI‑generated visualizations and automated fact‑checking, further narrowing the gap between resource‑rich and community newsrooms.

*Watch the full session and read the transcript to see the tools in action. The next wave of AI training for journalists is expected later this year, focusing on multimedia storytelling.*

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