Squawk Pod Davos 2026: Google DeepMind CEO Demis Hassabis 1/24/26
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Jan 24, 2026 
Demis Hassabis, co-founder and CEO of DeepMind and architect of AlphaGo and the Gemini models, explains how DeepMind unified Google’s AI stack. He discusses rolling Gemini into products, Apple’s Siri choosing Gemini, paths toward AGI, model specialization, compute needs, competition, and AI’s effects on jobs and enterprise winners.
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Model Quality First, Then Product Rollout
- Demis Hassabis explains product integration follows model quality and infrastructure improvements.
- Expect Gemini features to roll into Search, the Gemini app, and more Google services this year.
AGI Likely Needs More Than Scaling
- Hassabis takes an empirical view: scaling yields gains but some capabilities are still missing for AGI.
- He lists continual learning, true creativity, and long-term planning as gaps that may need breakthroughs.
Frontier Models Are Diverging
- Different labs are specializing, producing models strong at distinct tasks rather than converging.
- Hassabis expects differentiation and widening gaps between leading models this year.