What does the thickness of a glass display case have to do with one of the most talked-about jewelry heists in recent history? For a journalist on deadline, a lot, as long as they know the two stories are connected.
The problem: newsrooms forget what they already know
The Reuters Institute states that journalism is perishable by design, because a story is mostly valued for being new. It is relevant for a few weeks at most, and then disappears into an archive where it stays untouched for a long time, or, sometimes, forever. Keyword search only helps when you already know what you're looking for, so connecting stories isn’t an easy task, especially not when journalists are under deadline pressure.
The people who used to fill that gap are also disappearing.
Press Gazette tracked more than 3000 journalism job cuts across the UK and US in 2025 alone. In February 2026, The Washington Post laid off a third of its staff. Those are often the people who remember the story from three years ago, so when they leave, that memory leaves with them.
Fu'ad Lawal, Chief Archivist at Archivi.ng, told the Reuters Institute that newsrooms should start by “making it ridiculously easy for their own journalists to discover their internal archives.” And these days, AI embeddings are one of the most effective ways to do that.
How AI embeddings connect related stories
AI in media oftentimes focuses on generating content or running agents. At the same time, one of the most useful applications gets far less attention. Namely, making everything a newsroom produces searchable and connected.
That's what AI embeddings do.
Imagine a large correlation map where every story gets its own pin. It is placed according to what it's about rather than the exact words it uses. A story about a heatwave in Paris gets linked to one about record temperatures a few years back. While a story about a local football match, for instance, lands far away on the ‘map’. Because the map works on meaning, a piece about display case glass and a report on a museum break-in end up linked together, even if they share few keywords and are years apart.
What this means for journalists' everyday work
The Louvre heist is a dramatic example, but most of the value shows up in routine, everyday coverage. Imagine a journalist covering a local politician's 2026 campaign. Storydesk surfaces reporting from 2025, when the same politician failed to deliver on earlier promises. A producer then finds linked interviews with residents who commented on those promises at the time. Together, these connections turn a standard campaign story into a complete piece with real context and accountability.
This is how AI helps journalists find their own reporting, rather than replacing them.
It is a direction that many leading newsrooms are already taking. Chris Moran at The Guardian shared that his team has built an internal chatbot that helps reporters pull up and summarise past stories on a topic. The same principle applies here, because the system suggests connections while the editorial decisions remain in journalists’ hands.
How Cuez Storydesk connects your stories
Storydesk is our story-centric newsroom tool, and it puts AI embeddings to work in the background. Every story that comes in is automatically placed on that map of meaning, so journalists can see how a new incoming story connects to earlier reporting, no matter when it was written, last week or three years ago. Nobody has to tag, file or search for it by hand. What makes it especially useful is that it also helps teams spot patterns across their coverage that would otherwise stay forgotten. The links are suggestions, so it’s always the journalists who make the final call on what's relevant and how to use it.
Turning your archive into everyday context
Nikita Roy, founder of Newsroom Robots Lab, has argued in Nieman Lab that newsrooms need to stop treating journalism as a content factory and start rebuilding it as “a knowledge and community institution.” A connected archive is a practical place to start, turning years of reporting into context your journalists can use every day.
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Aaron Nuytemans
Aaron Nuytemans - CRO Aaron Nuytemans is the Chief Revenue Officer of Cuez, where he leads the company’s global commercial growth and partnerships across the media and broadcast industry. Overseeing sales, marketing, customer support, and customer success, Aaron leads the Cuez team in making media production easy for broadcasters worldwide. Aaron’s background before Cuez was as a manager & consultant in various industries, ranging from logistics, healthcare, FMCG, marketing & more. Aaron is also a public speaker in the broadcast industry, with recent keynotes at NAB Las Vegas 2026, DPP Summit 2026, RISE Women on Stage Conference 2026 and Alliance for Community Media 2026. These sessions cover industry insights and the Cuez product suite. The Cuez NRCS is used across news, entertainment, and live events worldwide, and its technology has been recognized with multiple industry awards, including the IAMT Impact Award, Broadcast Tech Innovation Award, and TVBEurope Best in Market Award. Recently, Cuez launched Storydesk, a modern newsroom solution designed for collaborative live editorial workflows. Together with Cuez’s collaborative rundown tools and no-code automation engine, Aaron and the team support end-to-end production workflows spanning story creation, AI-assisted fact-checking and device control through API & MOS integrations.