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Reading: Bodily AI will automate ‘massive sections’ of manufacturing unit work within the subsequent decade, Arm CEO says
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Bodily AI will automate ‘massive sections’ of manufacturing unit work within the subsequent decade, Arm CEO says
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Bodily AI will automate ‘massive sections’ of manufacturing unit work within the subsequent decade, Arm CEO says

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Last updated: December 9, 2025 11:02 pm
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Published: December 9, 2025
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AI-powered humanoid robots might take over massive sections of manufacturing unit work inside the subsequent 5 to 10 years, reworking the manufacturing {industry}, predicts Arm CEO Rene Haas.

One of many key forces pushing humanoid robots into factories is their benefit over the robotic arms and different automation equipment in use in the present day, Haas mentioned. Conventional manufacturing unit robots are purpose-built machines designed for a single process, with each {hardware} and software program optimized for that particular perform. Basic objective humanoid robots against this, mixed with more and more subtle “bodily AI” that helps navigate the true world, will be capable to tackle totally different jobs on-the-fly with fast modifications to their directions.

“I believe within the subsequent 5 years, you’re going to see massive sections of manufacturing unit work changed by robots—and a part of the rationale for that’s that these bodily AI robots may be reprogrammed into totally different duties,” Haas mentioned at Fortune’s Brainstorm AI convention in San Francisco on Monday.

“One of many points you’d had with manufacturing unit robots prior to now is that if it was a choose and place machine for a manufacturing unit, they’re simply optimized for one process—the software program was for one process, the {hardware} is for one process. Now, when you design a general-purpose humanoid that the software program is all AI and it learns by doing, it’s going to fully substitute a big set of manufacturing unit employees,” he mentioned.

What occurs to these employees and the broader job market as AI and robots proliferate in companies is a rising concern amongst many policymakers and industry-observers, with concepts starting from employee re-skilling to common fundamental earnings among the many choices beneath debate.

Haas didn’t particularly handle the roles situation, however advised that widespread bodily AI adoption might reshape international manufacturing dynamics, probably serving to to stage the worldwide aggressive taking part in discipline by automating a considerable amount of manufacturing unit work. “Bodily AI will probably be an important enabler,” he mentioned. 

Haas additionally pointed to Waymo’s autonomous automobiles as an early indicator of bodily AI’s potential. 

He mentioned the following technology of autonomous methods could require even much less {hardware}. Whereas present self-driving automobiles are fitted with radar and cameras surveying their environment, future iterations utilizing extra superior AI fashions might function with fewer sensors—counting on synthetic intelligence quite than exhaustive information assortment to make choices.

The semiconductor provide chain has ‘many single factors of failure’

Arm, which doesn’t manufacture or promote its personal chips, designs and licenses the structure utilized in processors made by firms together with Qualcomm and Apple. Chips primarily based on Arm’s designs are utilized in every little thing from smartphones and fridges to automobiles and servers, and most of the people use between 50 to 100 Arm chips on their particular person or of their houses, Haas mentioned.

That widespread use and market share is a testomony to the vitality effectivity and efficiency which have made Arm’s chip design so well-liked. But it surely additionally raises dangers to the semiconductor provide chain.

Requested about this vulnerability, Haas acknowledged the intense market focus inside the {industry}, and famous that a number of massive firms every management important components of the semiconductor provide chain.

“The semiconductor provide chain has many single factors of failure…there’s TSMC, which is in a really clearly attention-grabbing a part of the world geopolitically. There’s additionally a really subtle machine that has to enter these fabs that comes from one firm on the planet…known as the ASML.”

In the previous couple of years, the COVID-19 pandemic uncovered a few of these provide chain fragilities when chip shortages left shoppers unable to get key fobs for brand new automobiles for weeks. That disaster, Haas mentioned, was “only a perform of the semiconductor provide chain that has many single factors of failure.”

Haas mentioned your complete {industry} is “studying to reside with” the focus danger. 

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