Alphabet (GOOGL) Disbands AlphaFold Team As DeepMind Pushes Gemini Further - Yahoo! Finance Canada

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- Alphabet's Google DeepMind has disbanded its dedicated AlphaFold team and reassigned researchers to work on the Gemini large language model and other scientific projects.

- AlphaFold development will continue within wider scientific programs that span areas such as enzyme design, nuclear fusion, genomics, and drug discovery.

- This move reshapes how some of DeepMind's most recognized researchers are deployed and indicates a broader push to embed foundational AI across multiple fields.

Alphabet, NasdaqGS:GOOGL, is making this shift while the stock trades around $336.71. The company has seen a 71.8% gain over the past year and is up 6.8% year to date, even though the share price is down 1.6% over the past week and down 4.8% over the past month. These mixed shorter term moves sit against much stronger multiyear returns of 164.6% over three years and 151.4% over five years.

For investors, the reallocation of DeepMind talent points to a tighter link between Alphabet's core AI platforms and long running scientific efforts. The outcome of this shift could influence how the company positions Gemini and related tools across healthcare, energy, and research focused customers. It also highlights that some of Alphabet's most high profile AI projects may increasingly be managed as part of larger cross discipline programs rather than as standalone efforts.

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The AlphaFold restructure indicates where Alphabet wants its scarce AI talent focused. Folding the protein research team into broader efforts around Gemini and applied science suggests Alphabet sees more leverage in a single, large scale model platform that can be reused across search, cloud, and scientific workloads. For the business model, that points to a tighter connection between DeepMind research and revenue generating products like Google Cloud and tools used by healthcare and energy customers. It may also help Alphabet compete with Microsoft, OpenAI, and Meta as they race to supply general purpose AI systems that support specialist use cases, from drug discovery to industrial design.