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Demis Hassabis says Google DeepMind had to return to its startup roots after the Brain merger

Posted on April 9, 2026 By 164news66 No Comments on Demis Hassabis says Google DeepMind had to return to its startup roots after the Brain merger

Demis Hassabis on Google DeepMind’s Return to Startup Roots

In short: Demis Hassabis, in a 2026 podcast with Harry Stebbings, revealed how Google DeepMind has intensified its pace over the past two to three years by merging Google Brain’s compute resources with DeepMind’s research culture and adopting a more "startup or entrepreneurial" approach.

Merging Resources and Culture

Google DeepMind’s formal merger of DeepMind and Google Brain concluded in 2023. Since then, Hassabis described a period of deliberate acceleration: aligning talent from across the company, leveraging massive compute infrastructure, and driving relentless focus and pace. This transformation required a cultural shift back to startup roots, being "scapper," faster, and shipping things quickly.

The Competitive Landscape

Hassabis noted that the current competitive environment is "ferocious." Even veteran employees with decades of experience in the tech industry are finding it the most intense they’ve ever seen.

Strategic Alignment with Alphabet

He emphasized his daily conversations with Sundar Pichai, CEO of Alphabet, reflecting DeepMind’s central role in Alphabet’s product and research strategy. This strategic alignment is supported by Alphabet’s substantial capital commitment, evident in its massive capital expenditure (CapEx) figures.

Google’s Compute Build-out

Alphabet spent a staggering $91.4 billion on CapEx in 2025, forecasting between $175 and $185 billion for 2026. Supply constraints, not capital availability, are currently the main limiting factor.

DeepMind’s AI Contribution

Hassabis made a bold claim that approximately 90% of the breakthroughs in the modern AI industry were either produced by Google Brain, Google Research, or DeepMind. This assertion aligns with historical academic records, including seminal work on transformer architectures and reinforcement learning techniques. The 2024 Nobel Prize in Chemistry, awarded to Hassabis, John Jumper, and David Baker for AlphaFold, further validates these achievements.

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