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Demis Hassabis leaves Google DeepMind CEO role

Demis Hassabis is stepping down as chief executive of Google DeepMind, marking a major leadership change at one of the world’s most influential artificial intelligence research organisations.

Hassabis will become chair of Google DeepMind and chief scientist of Alphabet, Google’s parent company. He will move away from the lab’s day-to-day management but remain closely involved in its long-term artificial intelligence strategy. He will also continue leading Isomorphic Labs, Alphabet’s AI-focused drug discovery company.

The change comes at an important moment for Google. The company is investing heavily in AI as competition intensifies from rivals including OpenAI and Anthropic. Google has been pushing its Gemini AI models, AI agents and other products while trying to maintain its position in the rapidly changing generative AI market.

Under the new structure, Koray Kavukcuoglu, a long-time DeepMind executive, will take over as senior vice-president of Google DeepMind. He will oversee the organisation’s core AI research, Gemini model development and the Gemini app and developer teams.

For Hassabis, however, the move is not an exit from Google or artificial intelligence. Instead, it gives him a broader role across Alphabet, with a greater focus on scientific research, advanced AI and the longer-term goal of developing artificial general intelligence (AGI).

Hassabis co-founded DeepMind in 2010 with the ambition of building machines capable of learning and solving complex problems. Google acquired the company in 2014, and DeepMind was later combined with Google Brain in 2023 to create Google DeepMind.

The organisation has since become central to Google’s AI strategy. Its research has produced landmark systems such as AlphaGo, which defeated a leading human Go player, and AlphaFold, which transformed the study of protein structures. More recently, Google DeepMind has been deeply involved in the development of Gemini and other generative AI technologies.

Hassabis’ scientific reputation also extends beyond the technology industry. In 2024, he shared the Nobel Prize in Chemistry with John Jumper for work connected to protein structure prediction using AI. His career has placed him at the intersection of computer science, neuroscience and scientific research.

His new position as Alphabet chief scientist reflects that background. Rather than focusing primarily on operational management, Hassabis is expected to concentrate on the broader scientific direction of the company and its efforts to push the boundaries of AI.

The leadership change is part of a much wider shake-up inside Google’s AI division.

Jeff Dean, one of Google’s most senior AI figures and a company veteran of 27 years, is leaving to start a new public-benefit company called Discovery Loop. The venture will focus on using AI to automate scientific and engineering research. Dean will be joined by several other prominent Google researchers.

Dean’s departure is particularly notable because he has played a central role in Google’s computing and AI development for many years. His exit, alongside other senior departures, has raised questions about how Google will manage its research talent while the AI race becomes increasingly competitive.

Google is also facing pressure to turn its enormous AI investment into products that can compete effectively with rapidly developing systems from OpenAI, Anthropic and other companies.

The company’s financial results show how central AI has become to its future. Alphabet said recently that its second-quarter revenue rose 24% year-on-year, while Google Cloud revenue increased 82%, driven partly by demand for AI infrastructure and AI solutions. Google said Gemini was also becoming an important driver of growth across its cloud business.

That backdrop makes the leadership restructuring particularly significant. Google is no longer treating AI simply as a research project. Artificial intelligence now sits at the centre of its search business, cloud operations, consumer products and future technology plans.

The company has also expanded Gemini into a wider ecosystem covering AI assistants, developer tools and enterprise services. At the same time, Google DeepMind continues to work on areas including robotics, scientific discovery and advanced AI systems.

Hassabis has repeatedly argued that AI could have an enormous impact on science and society. In his expanded role, he is expected to focus more strongly on that long-term vision while allowing a new leadership team to handle day-to-day execution.

The transition also highlights how quickly the AI industry is changing. A few years ago, leadership at major AI laboratories was largely associated with research breakthroughs. Today, those organisations are simultaneously responsible for developing foundation models, running consumer products, managing huge computing requirements and responding to intense commercial competition.

Hassabis stepping back from the CEO position does not mean Google DeepMind is moving away from its AI ambitions. Instead, the company is separating its scientific and strategic leadership from its operational management.

Kavukcuoglu now faces the immediate task of leading the organisation’s next phase, including Gemini development and frontier AI research. Hassabis, meanwhile, will have a wider platform across Alphabet to focus on advanced research and AGI.

The leadership change therefore represents more than a change of title. It signals Google’s attempt to organise itself for the next stage of the global AI race, where scientific breakthroughs, powerful AI models, commercial products and computing infrastructure are becoming increasingly intertwined.

 

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Google DeepMind CEO questions AI-led layoffs

Google DeepMind CEO Demis Hassabis has criticised the growing trend of technology companies using artificial intelligence as a reason for workforce reductions, arguing that AI should be used to increase innovation and productivity rather than eliminate jobs.

In a recent interview, Hassabis said several companies appear to have “got AI backwards” by treating productivity gains as an opportunity to reduce headcount. He argued that if AI tools enable engineers to become three or four times more productive, companies should focus on creating more products, conducting more research and pursuing ambitious projects instead of laying off employees.

His remarks come at a time when several major technology firms, including Meta, Amazon and other companies, have announced layoffs while increasing investments in artificial intelligence. Many of these firms have cited efficiency improvements from AI as one of the factors behind workforce restructuring.

Hassabis strongly disagreed with that approach, describing it as a “lack of imagination” and a failure to understand the long-term impact of AI. He suggested that some companies may be overstating the threat of AI-driven job displacement for reasons unrelated to the technology itself, including business or fundraising considerations.

The DeepMind chief also extended an informal invitation to engineers affected by recent layoffs. He said he has “a million ideas” spanning areas such as drug discovery, scientific research and game development, and would welcome talented engineers to work on such projects. According to Hassabis, AI should free up human talent to tackle bigger challenges rather than make skilled workers redundant.

His comments have added to a broader debate within the technology industry about the future of employment in the age of artificial intelligence.

Hassabis maintained that productivity gains from AI should be viewed as a chance to expand ambitions rather than shrink workforces. As AI tools become increasingly capable, he believes companies that invest in innovation and new ideas will be better positioned to benefit from the technology’s long-term potential.

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AI will transform science, medicine, states DeepMind CEO

Artificial intelligence is set to dramatically change the way science is conducted and how new medicines are discovered, but its benefits must be shared globally and developed responsibly, said Demis Hassabis, CEO of Google DeepMind.

Speaking at the AI Impact Summit in New Delhi, Hassabis described AI as a powerful tool that can significantly accelerate scientific research. He noted that advanced AI systems are no longer limited to analysing data but are increasingly capable of generating new ideas and helping scientists solve complex problems in areas such as biology, chemistry and physics.

He highlighted the growing role of AI in healthcare, particularly in understanding diseases and speeding up drug discovery. Processes that traditionally took many years can now be completed much faster with the help of AI models, raising the possibility of developing treatments more efficiently and at lower cost. This, he said, could improve access to life-saving medicines across the world.

Hassabis also pointed out that AI could help address some of the biggest global challenges, including climate change, energy sustainability and food security, by enabling faster innovation and deeper scientific insights.

At the same time, he cautioned that the rapid progress of AI brings important societal and ethical questions. Ensuring safety, fairness and equal access to the technology will require strong international collaboration. No single country or company, he said, can manage the impact of such a transformative technology alone.

He emphasised the need to make advanced AI tools available to researchers and institutions worldwide so that scientific progress is not limited to a few regions. Wider participation, he added, will lead to more inclusive innovation and better outcomes for humanity.

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