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Semafor Uses AI to Extract 4,900 Claims from Its World Economy 2026 Conference
Semafor Intelligence, a new AI-enabled editorial product, began as a prototype built the Sunday after the five-day conference ended. The system analyzed transcripts from more than 300 speakers across three simultaneous stages and turned distinct claims into numerical fingerprints. Semafor journalists reviewed every theme, stress-testing premises against anchored quotes.
May 6, 5:04 PM·2m read1 source
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Semafor built an AI tool that parsed 4,900 distinct claims from more than 300 speakers at Semafor World Economy 2026, with every claim anchored to a specific quote in the transcripts. The event took place over five days on three simultaneous stages. Semafor Intelligence is a new AI-enabled editorial insight product built on Semafor's global convenings.
Reed Albergotti created a prototype using OpenAI’s Codex the Sunday morning after Semafor World Economy 2026 wrapped up, with the goal of identifying the central themes across conversations. Alastair Clements worked with Reed Albergotti over the next 36 hours to turn the prototype into a robust analytical tool.
The tool analyzed every transcript and pulled out every distinct claim each speaker made.
It turned each claim into a numerical fingerprint that captures meaning rather than wording. This technology is called “embedding” or “vectorizing”. The proximity map produced by embeddings was used to help refine the report.
The tool used multi-agent reasoning to surface direct quotes from speakers that support or push back on the central themes. Semafor’s journalists reviewed every theme, stress-testing the premises, interrogating the supporting quotes, and editing down to the ones most clearly supported by what was actually said. The report is a product of that editorial process.
Current AI systems aren’t capable of generating insights on their own more reliably than journalists. AI systems can allow building tools that expand the scope of what journalists can discover and analyze. The vector database runs on Google’s BigQuery.
