Newsroom Robots
Newsroom Robots
How iTromsø is Building an AI-Ready Foundation for News: In Conversation with Rune Ytreberg and Lars Adrian Giske
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How iTromsø is Building an AI-Ready Foundation for News: In Conversation with Rune Ytreberg and Lars Adrian Giske

Imagine a newsroom where AI agents assist with reporting, actively surface leads, analyze government data, and help journalists navigate complex investigations in real time. Norway’s iTromsø is laying the groundwork for exactly that.

In the second part of my conversation with Rune Ytreberg, head of data journalism at iTromsø, and Lars Adrian Giske, head of AI, they shared how their small but ambitious newsroom is systematically building an infrastructure for AI-powered journalism. This isn’t just about isolated tools—it’s about creating a cohesive ecosystem where AI enhances reporting at every level.

If you haven’t listened to part one of our discussion yet, where we covered their AI-powered news-gathering tool, DJINN, I highly recommend starting there. In this episode, though, we dive into something even more ambitious—how iTromsø is building the foundation for a future where AI agents are deeply embedded in journalism.

Rather than simply bolting AI onto existing workflows, iTromsø is focused on building a structured data infrastructure that supports AI agents across multiple newsroom functions.

Their vision includes:

  • A centralized AI-powered data interface that allows journalists to filter, analyze, and cross-reference government records, public documents, and municipal archives.

  • Automated news alerts that notify reporters when AI detects important patterns or anomalies in the data.

  • A structured repository of historical data, ensuring journalists have context-rich information at their fingertips, allowing for deeper investigative work.

This structured approach isn’t just about efficiency—it’s about creating a foundation where AI can play an active role in surfacing critical stories.

iTromsø is designing an AI-ready newsroom—one where structured data, automated insights, and AI-assisted research come together to elevate investigative journalism.

What makes iTromsø's approach distinctive is its focus on building from the ground up. Instead of simply attaching AI to existing workflows or adopting generic solutions, they are designing a purpose-built foundation—one where structured data empowers AI to uncover stories that might otherwise remain hidden.

🎧 Listen to the full conversation now to discover how a small Norwegian newsroom is pioneering the future of AI in journalism. Tune in on Apple, Spotify and other major podcast platforms

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