Hassabis Sees AGI by 2029

This is less a product announcement than a signal that one of the field’s most prominent executives thinks the AGI timeline has tightened again. The substance is in the shift from abstract hype to concrete preparation: labs are treating agentic systems as the staging ground for much more powerful models. Hassabis is not saying AGI has arrived; he is saying the technical path looks clearer, which is a meaningful change in tone. For AI builders, the practical takeaway is to expect faster capability jumps and more scrutiny around evals, deployment gating, and model behavior under recursive self-improvement pressure.