AP makes its archive AI-ready to tap the enterprise RAG boom

The Associated Press has quietly retooled for the AI era – structuring its archive so enterprise LLMs can reliably ground, cite and pay for decades of reporting. 

The news organization has spent the last nine to 12 months making its tens of millions of content assets across text, video, photos and audio formats, machine-readable for LLMs to assimilate easily. 

The Economist and The Financial Times have already clocked the revenue opportunity presented by the boom in enterprise retrieval-augmented generation (RAG) demand, and have been licensing their content archives accordingly. Meanwhile, Dow Jones’ Factiva unit — which has a network of 30,000 publishers — now operates an AI-licensed content marketplace for enterprises.

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Inside Reuters’ agentic AI video experiment 

Reuters is experimenting with using an AI agent to speed up its video production process. This week, Reuters hired its first AI video producer to, in part, help oversee the initiative. 

Typically, Reuters’ newsroom has used AI technology to accelerate its text-based workflows. But Rob Lang, newsroom AI editor at Reuters, said he saw an opportunity to use agentic AI to act as a kind of super-charged video editing system. Right now, Reuters is using AI tools to create and process video metadata to cut different edits of video coverage.

“We’ve asked the LLM to pick the best bits and create what we call a wrap edit. And it’s actually doing quite a good job. So that’s without even having that multimodal. So if we can actually get the AI as an agentic AI system to understand that, to be able to look at things and compile things, we might be able to get the AI to build the edits for us, which would be quite extraordinary,” Lang said on stage at the Digiday Publishing Summit Europe on Oct. 28.

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