Arm Q1 Forecast Beats Estimates on AI Demand

UK-based chip design firm Arm Holdings forecast first-quarter revenue of US$1.26 billion and adjusted earnings of 40 cents a share on May 6, above Wall Street estimates, according to Reuters. The company benefited from rising demand for its chip designs in AI data centers.

Q1 Forecast and Recent Performance

Arm's Q1 guidance exceeded market expectations. Fourth-quarter revenue reached US$1.49 billion, while royalty revenue of US$671 million missed estimates and licensing revenue of US$819 million beat them. Following the outlook announcement, Arm shares rose 12% but later fell 5.49% in extended trading after executives disclosed supply constraints for the company's new AGI CPU.

AGI CPU Supply and Strategic Shift

Arm announced it had supply for US$1 billion of demand for its new AGI CPU, but not for a second US$1 billion. This reflects Arm's strategic shift from its 35-year licensing model to selling its own silicon. The AGI CPU represents Arm's first chip sold under its own design, moving the company from licensing chip technology to other companies toward direct silicon sales—a path closer to server chip sellers such as Intel and AMD in data centers.

Meta, the parent company of Facebook and Instagram, is the lead partner for the AGI CPU and plans to spend as much as US$135 billion on capital expenditures this year. Other customers include OpenAI, the company behind ChatGPT, and SAP, the German business software company. Arm aims for US$15 billion in yearly silicon revenue by 2031, a target above the roughly US$4.91 billion Wall Street expects for Arm in the current fiscal year.

Competitive Positioning and Energy Efficiency

By entering chip sales, Arm may compete with some of its biggest licensing customers and partners, moving away from its long-standing neutral role in the industry. Energy efficiency is a key factor for buyers such as Meta, where electricity is described as a "very scarce resource." Arm says the AGI CPU delivers about twice the performance per watt of an x86 rack configuration, a standard server setup built on the chip architecture used by Intel and AMD. That capability could cut running costs for AI infrastructure.

For hyperscalers—large cloud and internet companies that run massive data centers—the chip adds another option beside Intel-based or AMD-based servers. The push also tracks a wider move toward CPU-heavy "agentic AI" workloads, where AI systems handle multi-step tasks with more autonomy.