Google has taken apart the team behind AlphaFold, an AI program that solved one of biology's hardest problems. Some team members were moved to other projects inside Google, while others left the company entirely. Engadget

The dismantling was first reported as an exclusive by the Financial Times, where it led the publication's Technology section. Financial Times

Proteins are molecules that do most of the work in living cells. Each protein is built from a chain of smaller molecules called amino acids, and the way that chain folds into a three-dimensional shape determines what the protein does. Figuring out that shape from the amino acid sequence took scientists years for a single protein. AlphaFold, an AI program developed at Google's DeepMind research lab starting in 2018, could do it in minutes. By 2020, the scientific community recognized it as a solution to a problem that had gone unsolved for 50 years. In 2021, the journal Nature published both the method and predictions for every protein in the human body. DeepMind then launched a free database giving researchers access to over 200 million protein structure predictions. Engadget

The recognition was capped in 2024, when DeepMind CEO Demis Hassabis and John Jumper received the Nobel Prize in Chemistry for their work on the system. Engadget

Jumper announced in June that he was leaving DeepMind to join Anthropic, a rival AI company, and some of his AlphaFold colleagues made the same move. Other former team members were reassigned to Isomorphic Labs, a Google spin-off focused on drug discovery. DeepMind confirmed to the Financial Times that remaining staff were moved to work on Gemini, Google's main AI product. Engadget

Pushmeet Kohli, VP of Research at Google DeepMind, said the strategy has evolved from focusing on grand challenges. Engadget AlphaFold was a prime example of that grand-challenge approach: taking on an ambitious scientific problem for its own sake. The implication is that it no longer fits the company's current priorities the way it once did. DeepMind also unveiled AlphaFold 3, a newer version that can predict the structures of DNA, RNA, and other small molecules in addition to proteins, though the fate of that work under the reorganization is unclear. Financial Times

Hassabis has stated that AlphaFold predictions were a key part of solving the overall protein structure in three out of four research papers, underscoring the system's deep integration into mainstream biology research. Financial Times The Financial Times also published a podcast episode titled "AI Labs — Google DeepMind plans its comeback," discussing AlphaFold and the company's future direction. Financial Times

The reallocation follows a recognizable pattern: a large technology company pulling talent toward its highest-priority commercial bet. Gemini is Google's main product in the competition against other AI companies like OpenAI and Anthropic. Moving researchers from a problem that has been solved to that effort is a straightforward business decision. The AlphaFold database remains publicly available, and the methodology is published. The research output persists even as the team behind it disperses.

What does not persist is the concentrated group that produced breakthroughs like AlphaFold 3. Isomorphic Labs absorbs part of that capability into its drug-discovery work, and Anthropic gains researchers with deep experience applying AI to scientific problems. But the specific team that cracked protein folding no longer exists in any coherent form.

The broader context here is Kohli's framing about the shift away from grand challenges, and that phrase carries real weight. DeepMind built its identity on ambitious demonstrations like AlphaGo and AlphaFold that served as both scientific milestones and magnets for recruiting top talent. If the company is genuinely moving away from that model in favor of product-focused research for Gemini, it signals a change in how one of the world's leading AI labs deploys its best people. Whether that tradeoff pays off depends on how competitive Gemini becomes, and how much of the scientific momentum AlphaFold created can continue without a dedicated team pushing it forward.

The AlphaFold database and published methods are durable artifacts. The team that could produce the next AlphaFold is now scattered across Gemini, Isomorphic Labs, and Anthropic.