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Meta and OpenAI's compute crunch gives Arm a big opportunity

Rosalie Chan
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⚡ Quantum Brief
Arm unveiled its AGI CPU chip, shifting from licensing designs to direct AI hardware production, responding to urgent demands from Meta and OpenAI for energy-efficient solutions. The chip targets AI data center bottlenecks, addressing power and memory constraints—Meta’s Hyperion cluster alone requires 5 gigawatts, equivalent to 50 towns’ energy needs. Meta and OpenAI, facing compute shortages, independently ported systems to Arm architectures, citing performance gains but lacking commercially available Arm chips until now. Arm projects $15 billion in AGI CPU revenue by 2031, entering a $1.5 trillion AI infrastructure market despite competition from Nvidia, AMD, and Intel. Analysts warn the crowded CPU market and Arm’s reliance on smartphone royalties could limit growth, though AI inference demand may create niche opportunities.
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Meta and OpenAI's compute crunch gives Arm a big opportunity

Arm CEO Rene Haas announced the company's AGI CPU at the Arm Everywhere conference on Tuesday. Arm 2026-03-25T18:55:51.423Z Share Copy link Email Facebook WhatsApp X LinkedIn Bluesky Threads lighning bolt icon An icon in the shape of a lightning bolt.

Impact Link Save Saved Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Log in. Arm announced its own AI chip, the AGI CPU, and is partnering with OpenAI and Meta. The new Arm AGI CPU aims to address energy efficiency and memory constraints in AI data centers. Despite strong growth prospects, Arm faces competition from established players like Nvidia and AMD. AI-generated summary Summaries are generated by an AI model trained on Business Insider's articles. AI may make mistakes or provide inaccurate/incomplete information. We're unable to load that answer right now. Please try again. What drives AI chip market competition? What roles do Meta and OpenAI play in AI? How does Arm's strategy shift affect growth? How does Arm's AGI CPU improve energy use? Why is the CPU market crowded now? Arm has long run its business as an architect behind the scenes, designing chips that power almost all the world's smartphone and making money off royalties from the chips it designs for customers. Loading audio narration... Now, Arm is changing it up by announcing its own AI chip, the Arm AGI CPU.Arm CEO Rene Haas said Tuesday at a company conference that this massive pivot wasn't just an internal strategy shift—it was a direct plea from the world's most powerful AI giants. The company name-dropped OpenAI and Meta as major partners for this chip. "The biggest reason we're doing this is that our partners have asked for it," Haas said Tuesday.With energy constraints and memory shortages, the AI boom has created a massive bottleneck in data centers. Faced with this demand, Arm stepped up with an AI chip that it says is more energy-efficient. Arm says it sees a $1.5 trillion market opportunity as it moves into AI chips for cloud, edge, and physical AI. Every time Rosalie publishes a story, you'll get an alert straight to your inbox! Stay connected to Rosalie and get more of their work as it publishes. Sign up By clicking "Sign up", you agree to receive emails from Business Insider. In addition, you accept Insider's Terms of Service and Privacy Policy. Arm stock was up by more than 18% on Wednesday. Mizuho analysts wrote that they see "strong growth opportunities" for Arm in AI infrastructure and the automotive industry. Bank of America research analyst Vivek Arya wrote in a note to investors that the company's outlook could be "too ambitious."Meta and OpenAI partner with ArmMeta has been building out data centers at a massive scale to power its apps and its latest superintelligence ventures. Santosh Janardhan, head of infrastructure at Meta, said Tuesday onstage that its coming "Hyperion" cluster could draw 5 gigawatts of power, enough to power 50 towns the size of Palo Alto. "If we met the performance, we couldn't get the power. If we got the power, we wouldn't get the performance," Janardhan said.This sparked an engineering project within Meta, where engineers were "working 'round the clock" to port its systems to Arm in three months, said Paul Saab, a Meta engineer. "I didn't even ask my boss here for permission to buy these machines or even start the project," Saab said onstage.While Saab says he saw major performance benefits, at the time, there wasn't an Arm chip available to buy. OpenAI faced a similar problem. Its compute demand has grown massively as it trains and runs its ChatGPT models, its AI coding tool Codex, and more."That is one of the most common things I hear inside OpenAI. I need more compute," Kevin Weil, vice president of OpenAI for science, said onstage, adding that it needed chips that were energy-efficient. Arm said it expects this chip to generate $15 billion in revenue by fiscal 2031.The chip market is 'getting very crowded'Arm faces the risk that the CPU market is "getting very crowded," Arya wrote in his analyst note. Other competitors, such as AMD, Nvidia, and Intel, have more CPU products and more established customers. Notably, both Meta and OpenAI also work with AMD and Nvidia, which could leave "limited" opportunity for Arm's new CPU, Arya wrote. "Moreover, the bigger AI grows, the more pressure ARM's smartphone/consumer markets would have from limited memory supplies," Arya wrote.That said, the increasing demand has led many customers to turn to chip companies beyond Nvidia for their computing needs. Both Meta and OpenAI also work with Broadcom to build AI chips. The rise of AI agents has also led to greater demand for inference, or how AI models draw conclusions and make predictions. While Nvidia's core AI chips, the GPUs, dominate AI training, CPUs like Arm's AGI CPU can also help with inference. Nvidia also recently made moves into this market.Have a tip? Contact this reporter via email at rmchan@businessinsider.com, or Signal at rosal.13. Use a personal email address, a nonwork WiFi network, and a nonwork device; here's our guide to sharing information securely.

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