DeepMind CEO Demis Hassabis Sets 2030 as AGI Target Year
In a 41-minute interview with Y Combinator ("How to Build the Future"), Google DeepMind CEO Demis Hassabis — the 2024 Nobel laureate in Chemistry and AlphaFold architect — named 2030 as his target date for artificial general intelligence. He characterised the current pre-training, RLHF, and chain-of-thought stack as approximately 90% of the solution, with the remaining gaps in continual learning, long-term reasoning, consistent memory, and stable cross-domain performance requiring an estimated one or two missing ideas, with 50/50 odds those ideas are genuinely novel.
Why It Matters
A credible 2030 AGI timeline from one of the field's most technically rigorous figures sets a concrete planning horizon for enterprise AI investment, product architecture decisions, and deep-tech venture bets that will mature around that midpoint.