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Reading: Google’s Nobel-winning AI chief sees a ‘renaissance’ forward—after a ten or 15-year shakeout | Fortune
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Asolica > Blog > Business > Google’s Nobel-winning AI chief sees a ‘renaissance’ forward—after a ten or 15-year shakeout | Fortune
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Google’s Nobel-winning AI chief sees a ‘renaissance’ forward—after a ten or 15-year shakeout | Fortune

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Last updated: February 11, 2026 4:43 pm
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2 months ago
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Google’s Nobel-winning AI chief sees a ‘renaissance’ forward—after a ten or 15-year shakeout | Fortune
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Contents
  • DeepMind’s large reorg
  • Science pointing the best way to the subsequent renaissance

Sir Demis Hassabis, the lately minted Nobel laureate and CEO of Google DeepMind, believes humanity is standing on the precipice of a “new golden era of discovery.” However reaching this utopia would require navigating a turbulent transition interval—a decade-long dash that Hassabis describes as a needed disruption for the $3.9 trillion tech big he helps lead.

Talking to Fortune Editor-in-Chief Alyson Shontell on the Fortune 500: Titans and Disruptors of Trade podcast, Hassabis supplied a imaginative and prescient of the longer term outlined by “radical abundance.” It’s a world the place synthetic intelligence has efficiently bottled the scientific methodology to resolve the planet’s most intractable issues.

“In 10, 15 years’ time, we’ll be in a kind of new golden era of discovery that [is] a kind of new renaissance,” Hassabis predicted. On this close to future, he predicted that “medicine won’t look like it does today,” with AI enabling personalised remedies and curing main illnesses. Past well being, he stated he foresees AI unlocking new supplies to resolve the vitality disaster by means of fusion or photo voltaic breakthroughs, ultimately permitting humanity to “travel the stars and … explore the galaxy”.

Nonetheless, the trail to the celebrities is paved with what Hassabis identifies as a “classic innovator’s dilemma” right here on Earth. For Google, the corporate that organized the world’s data, the rise of generative AI represents an existential pivot level. To construct the longer term, the corporate should threat disrupting its personal core search enterprise.

“If we don’t disrupt ourselves, someone else will,” Hassabis stated. “You’re better off… doing it on your terms.”

DeepMind’s large reorg

This philosophy drove an enormous inside reorganization in 2023, sparked by the rise of opponents equivalent to OpenAI’s ChatGPT. Google merged its two world-class analysis models, Google Mind and DeepMind, right into a single entity below Hassabis’ management. “Bringing the two groups together and trying to combine the best of both cultures has been great,” Hassabis stated, “and I think we’re reaping the rewards of that now.” He likened the mixed entity to a “nuclear power plant that’s plugged into the rest of this amazing company,” offering the uncooked intelligence that powers all the things from Search to YouTube.

The consolidation was essential to pool the “enormous compute power” required to coach frontier fashions like Gemini. The technique seems to be working; following the discharge of fashions equivalent to Gemini 3 and the viral picture generator “Nano Banana,” Alphabet shares soared roughly 65% by the tip of the 12 months. Hassabis stated he thinks the corporate has now “crossed the watershed moment” the place AI fashions are succesful sufficient to behave as helpful assistants in high-level analysis.

Science pointing the best way to the subsequent renaissance

The cornerstone of this new period, in accordance with Hassabis, is the applying of AI to biology. He pointed to AlphaFold, DeepMind’s breakthrough mannequin that solved the 50-year-old “protein folding problem,” because the proof of idea. By predicting the 3D construction of over 200 million proteins, the system has offered a roadmap for the human physique that’s now utilized by over 3 million researchers. (That is the work that allow to Hassabis being awarded the Nobel Prize in Chemistry in 2024.)

Hassabis is now making use of AlphaFold at Isomorphic Labs, a Google spin-off devoted to “solving” illness. By transferring drug discovery from “wet labs” to in silico (pc) simulation, Hassabis stated he believes the method can turn into “1,000 times more efficient”. The corporate is already in pre-clinical trials for most cancers medicine, with hopes to maneuver to scientific trials by the tip of the 12 months. (Additionally in January, Shontell talked to Pfizer CEO Albert Bourla about his hopes of discovering a most cancers remedy by means of sensible use of AI.)

This “renaissance” requires relentless effort, although. Hassabis admitted that he “doesn’t sleep very much,” working a “second day” from 10 p.m. to 4 a.m. to concentrate on deep scientific pondering. “I come alive at about 1 a.m.,” he confessed.

For Hassabis, the grueling schedule and the company restructuring are the desk stakes for the final word prize. The following decade could also be a interval of intense technological shakeout and adaptation, however he stated he stays satisfied of the vacation spot. “We set out with the mission of… solving intelligence and then using it to solve everything else,” Hassabis stated. If his 15-year timeline holds true, “everything else” could quickly embrace the celebrities themselves.

Watch the complete episode on YouTube. The interview transcript will be discovered right here.

This story was initially featured on Fortune.com

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