Google Loses the Creators of Gemini and AlphaFold to OpenAI and Anthropic, Delays Gemini 3.5 Pro

By Carlos Montiel | Enterprise AI Specialist
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Published: 2026-07-28 | By: Carlos Montiel | Reading time: ~4 minutes

In the AI race, the hardest asset to replace isn't compute — it's the team that knows how to use it. Four senior researchers leaving Google DeepMind in a single week is the clearest proof yet that this race is also fought over talent, not just GPUs.

Four Senior Departures in One Week

Noam Shazeer, co-lead of the Gemini models, announced his departure to OpenAI on June 18, 2026. The same week, John Jumper — who led the AlphaFold project at Google DeepMind and won the Nobel Prize in Chemistry for that work — left for Anthropic. Bloomberg reported that two other Gemini researchers, Jonas Adler and Alexander Pritzel, were also headed to Anthropic, rounding out four senior departures to direct competitors in a single week.

The Immediate Impact on Alphabet

The market reacted sharply: Alphabet lost $270 billion in market value after the departures became known. Shortly after, Google quietly delayed the launch of Gemini 3.5 Pro to July 2026 — its most powerful model in development fell months behind schedule, Bloomberg reported, widening the window for OpenAI and Anthropic to consolidate their positions with Claude Opus 5 and GPT-5.6.

Why They're Leaving

Multiple employees publicly cited their resignation in relation to Google's April deal with the Pentagon, which allows military use of its technology — a topic that, according to internal sources, comes up frequently in exit interviews. Add to that low morale within the team and concern over DeepMind's lack of a clear product for companies building AI coding tools, an area where Anthropic and OpenAI have already gained significant ground.

What It Means for the Competitive Landscape

For enterprise teams evaluating which model provider to prioritize, this episode is a signal that frontier AI's competitive edge is more fragile than a company's infrastructure size would suggest — the specialized knowledge of a handful of researchers can move months of roadmap and billions in market value. It's worth closely watching upcoming Gemini releases as an indicator of whether Google manages to stabilize its research team or whether the talent drain deepens.

Carlos Montiel
Enterprise AI Solutions Architect
Specialist in LLMs, Agents, and Orchestration
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