Google DeepMind CEO Demis Hassabis, a Nobel Prize winner and one of the most prominent figures in artificial intelligence, has laid out a deliberately simple long-term plan: first solve intelligence, then use it to solve everything else.
Google DeepMind · Profile
A two-step plan: solve intelligence, then solve everything else
Demis Hassabis, Nobel laureate and head of Google DeepMind, frames his career as one consistent strategy. The plan is deliberately short: build general intelligence first, then apply it to problems across science, medicine, and beyond.
The plan in two steps
STEP 1
Solve intelligence
Understand and recreate general intelligence. This is the foundation for everything that follows.
→
STEP 2
Use it to solve everything else
Apply that capability to hard problems across science, medicine, and other fields.
Enthusiasm
The claim that a single technology could address a wide range of hard problems has drawn strong interest. The two-step framing puts that ambition in the simplest possible terms, and it mirrors how leading AI labs describe their goals to investors, policymakers, and the public.
Skepticism
The same claim has also drawn skepticism. A plan this broad is hard to test, and it should be read as a stated goal rather than a measured forecast.
What the plan does not yet show
A high-level statement of intent, judged by future outcomes
Milestones
No specific milestones are detailed.
Timelines
No timelines for either step are given.
Independent review
No independent assessment of how close the field is to either step.
The real test: whether progress on general-purpose AI systems produces verifiable advances in scientific and practical fields.
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