Sep 8, 2026
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Rene Haas, CEO of Arm Holdings, predicts AI will eventually cure cancer but notes that current growth is limited by a shortage of chips needed for data centers.

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ManyPress Editorial

3 min readSource:BBC Technology
Arm CEO Rene Haas Says AI Will Cure Cancer but Faces Chip Supply Constraints

Key facts

  • Arm Holdings is the largest UK-headquartered tech firm and currently employs half of its workforce in the UK.
  • The Arm AGI chip, developed for Meta, has seen over $2 billion in demand since its March launch.
  • Rene Haas believes AI will eventually cure cancer by modeling biological processes that are currently too complex.
  • Haas stated that fears of mass job displacement due to AI are likely overstated.
  • The company's technology is used in approximately 50% of AI data centers globally.

Rene Haas, chief executive of Cambridge-based chip designer Arm Holdings, stated that artificial intelligence will eventually solve complex medical problems, such as curing cancer, that are currently beyond human capacity. While Haas envisions a future with widespread humanoid robots within a decade, he warned that the rapid expansion of AI is currently hindered by a global shortage of chips required to build data centers.

AI in Medical Research

Haas noted that while modeling DNA markers and human cells is currently too complex for existing AI, the technology will improve as models become more sophisticated. Prof Chris Bakal of the Institute of Cancer Research in London added that the future of medical AI relies on high-quality data from patient samples rather than just the size of the computer, noting that such predictions could significantly accelerate the development of new treatments.

Chip Demand and Manufacturing

Arm’s technology is currently used in half of all AI data centers worldwide. The company has seen high demand for its new Arm AGI chip, which was developed at the request of Meta and has generated over $2 billion in demand since its March launch. Despite this, Haas stated that the industry remains in a supply-constrained environment, noting that more chip factories are needed to support planned large-scale data centers in the US and France.

Future of Robotics and Employment

Haas expects self-learning AI robots to perform tasks in manufacturing, security, and the service industry within ten years. Addressing concerns regarding labor, he stated that fears of mass job losses are overstated, as new opportunities are expected to outweigh the displacement of workers. He also expressed skepticism regarding the feasibility of manufacturing chips in the UK, citing the high costs and specialized resources required.

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This article was independently rewritten by ManyPress editorial AI from reporting originally published by BBC Technology.

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