Arm CEO Rene Haas Says Chip Shortages Are Slowing Down AI Cancer Research - Startup Fortune
Arm CEO Rene Haas Says Chip Shortages Are Slowing Down AI Cancer Research - Startup Fortune
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Arm CEO Rene Haas Says Chip Shortages Are Slowing Down AI Cancer Research
Arm CEO Rene Haas told the BBC that AI could eventually crack
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Arm CEO Rene Haas Says Chip Shortages Are Slowing Down AI Cancer Research
Arm CEO Rene Haas told the BBC that AI could eventually crack cancer by modeling how DNA markers drive tumors, but said the breakthrough is being held back by a shortage of chips needed to build AI data centers. He also predicted humanoid robots doing repair and manufacturing work within a decade and downplayed fears of mass AI job losses.
Janet Harrison
Sep 8, 2026 · 6:05 AM
5 min read
935 reads
Arm's chief executive says AI could eventually crack cancer, but the breakthrough is stuck behind the very thing his company sells: chips.
Rene Haas, who runs the Cambridge-based chip designer Arm Holdings, told the BBC that modeling how a single DNA marker drives a tumor is currently "too complex" for AI to solve. But he doesn't think that holds. "Computers are going to solve it," he said, in an interview for the BBC's Big Boss Interview podcast published this week. The catch, in his own telling, is that AI's growth is being throttled by a shortage of the chips needed to build the data centers that would run that research in the first place.
The shortage checks out
It's a striking thing for a chip executive to say out loud. Arm doesn't build chips, it designs the underlying architecture used in the vast majority of the world's smartphones and an increasing share of AI servers, and its business model depends entirely on demand for computing power staying hot. Haas isn't wrong about the shortage, though. SK Hynix, Samsung and Micron have preallocated essentially all of their 2026 high-bandwidth memory capacity, and SK Hynix alone controls 62% of the HBM market, sold out through the end of the year. TSMC's own chief executive said on an April 2026 earnings call that supply won't catch up with demand until 2027.
That's the real constraint - not algorithms, not talent, but physical silicon and the handful of companies that make it.
Haas pointed to that concentration directly,