Arm's AGI CPU Draws $2 Billion in Customer Demand as Data Centers Shift to Agentic AI

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Arm doubled its demand forecast for the AGI CPU to over $2 billion across fiscal 2027 and 2028, just weeks after launch. The chip design company reported Q4 revenue of $1.49 billion, up 20% year-over-year, as CEO Rene Haas declared data centers will soon become Arm's largest business segment. But supply chain constraints and mixed investor response sent shares down 6% despite beating expectations.

Arm Doubles AGI CPU Demand Forecast to $2 Billion

Arm announced that strong customer demand for its AGI CPU has exceeded initial projections, with the chip design company now seeing more than $2 billion in orders across fiscal 2027 and fiscal 2028

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. This figure represents more than double the $1 billion forecast Arm provided when it launched the data center chip in March

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Source: Reuters

Source: Reuters

CEO Rene Haas revealed the updated numbers during the company's Q4 FY 2025/26 earnings call on Wednesday, stating that "customer response to the Arm AGI CPU has been very strong"

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. The AGI CPU was designed specifically for agentic AI applications that can perform business tasks autonomously with minimal human oversight

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. Haas theorized that customers are drawn to the processor because AI agents require dedicated processor cores, and Arm's AGI CPU features 136 of them

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Supply Chain Constraints Temper Immediate Revenue Outlook

While the demand figures paint an optimistic picture, Haas acknowledged that Arm has yet to assemble the supply chain capacity to deliver $2 billion worth of AGI silicon

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. The company has secured enough capacity to fulfill the initial $1 billion in demand discussed at launch but is still working to secure manufacturing for the additional billion dollars' worth of orders

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. "We're working really hard with the supply chain to fulfill that demand," the CEO said

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Source: SiliconANGLE

Source: SiliconANGLE

The company indicated that cash from AGI CPU sales will start arriving in volume beginning in fiscal year 2027/28

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. These supply chain concerns contributed to investor uncertainty, with Arm's share price initially jumping 10% in after-hours trading before ultimately falling to $222, down from a $237 close

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AI Data Center Business Set to Become Largest Revenue Source

Haas declared that "soon, the datacenter will be Arm's largest business," marking a significant shift for a company that rose to prominence designing power-efficient chip designs for smartphones

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. The CEO stated Arm is "on track towards our forecast of $15 billion" in annual revenue for AI infrastructure

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. CFO Jason Child added that the company expects to double annual revenue from selling its intellectual property to $10 billion by 2031, with most growth coming from data center products

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Source: FT

Source: FT

Arm-based CPUs already represent more than 50% share among top hyperscalers

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. Major AI accelerator providers including Nvidia, Google, and Amazon pair their chips with Arm-based processors—Nvidia's Rubin GPUs work with Vera CPUs, Google's TPUs connect to Axion CPUs, and Amazon's Trainium pairs with Graviton chips, all built on chip architecture from Arm

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Exceeding Revenue Expectations Amid CPU Renaissance

Arm reported Q4 revenue of $1.49 billion, up 20% year-over-year and exceeding the $1.47 billion analyst consensus

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. Full-year revenue reached $4.9 billion, representing a 22.8% increase

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. Licensing revenue came in particularly strong at $819 million, above the $775 million analysts expected, which Arm attributed to demand for its AI chip designs

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. Royalties totaled $671 million, slightly below the $700 million forecast

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. For the current quarter, Arm forecast $1.25 billion in revenue

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. The results reflect the broader CPU resurgence driven by AI workloads, particularly CPU-intensive inference tasks required for agentic AI

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. Intel CEO Lip Bu Tan noted that CPU-to-GPU ratios in AI racks have shifted from 1-to-8 to 1-to-4, with potential for 1-to-1 parity in the future

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. AMD CEO Lisa Su projects the server CPU addressable market will grow at greater than 35% annually, reaching over $120 billion by 2030

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Market Positioning Against Intel and AMD in Expanding TAM

Arm's move into manufacturing complete CPUs marks a strategic shift from its traditional business model of licensing chip architecture and collecting royalties

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. This positions Arm in direct competition with Intel and AMD in the x86 processors market, though analysts suggest the expanding total addressable market leaves room for all players. UBS analyst Tim Arcuri expects the data center CPU market to reach approximately $170 billion by 2030, translating to "across-the-board upside" for Arm, Intel, and AMD

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. However, Arcuri believes Arm's instruction set will likely capture the largest market share due to its optimization for scaling core count and throughput while boosting energy efficiency

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. Haas stated he expects Arm to have the largest market share by CPU type by the end of the decade

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. The AGI CPU, co-developed with Meta, provides more than twice the performance per server rack compared to Intel's rival silicon and can help operators reduce hardware costs by up to $10 billion per gigawatt of AI data center capacity

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. Haas noted that data centers are expected to require more than four times the current CPU capacity per gigawatt as agentic AI scales, creating a market opportunity exceeding $100 billion by 2030

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. Training workloads still rely heavily on Nvidia GPUs, but inference and agent-driven tasks increasingly favor CPUs, with analysts observing growing demand for standalone CPU-only server racks

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