Arm is positioned to win from a CPU shortage that x86 cannot meet. Intel and AMD raised prices 10-15% and lead times stretched from 1-2 weeks to six months, as agentic AI drives CPU demand. Arm delivers up to 60% better performance per watt than x86 in cloud workloads, and ASUS says 30% of its Copilot AI PCs now use Arm, up from 20%. Arm also launched its own 136-core AGI CPU with Meta as lead partner plus OpenAI and Cloudflare, expecting $15 billion in annual revenue within five years. x.com  … Show more

Arm is no longer just a royalty collector, a radical change in its business, and agentic AI demand for sold-out CPUs is amplifying the move. Arm-based CPUs could capture nearly 90% of host CPU deployments in custom AI ASIC servers by 2029, and Nvidia was expected to unveil a new Arm-based processor at Computex. Not all of the rally is fundamentals, and the stock could pause around $400; in this kind of market, price action works better than P/E. x.com  x.com 

Arm is set to be the mother of all shorts once investors realize its data center chips have only one customer and that it has no logic manufacturing capacity. x.com 

Arm is shifting from secondary supplier to the core orchestration backbone of AI data centers. Agentic AI needs roughly four times as many CPU cores per gigawatt, part of a $100 billion CPU market Arm sees for 2026. Its new AGI CPU line has over $2 billion in secured demand, with Oracle Cloud and ByteDance joining, and Google will use Arm-based Axion CPUs in all next-gen TPU systems. Hyperscalers' custom chips standardize on Arm's Neoverse, and Armv9 carries about double v8's royalty rate. x.com 

Arm collects royalties across the CPUs that AI workloads increasingly need, including AWS Graviton5, Google Axion, Azure Cobalt 200, Nvidia Grace and Vera, Qualcomm's Dragonfly C1000 and nearly all leading DPUs and SmartNICs. Anthropic locked in $11.6B over seven years with Akamai, expandable to about $20B, specifically for CPU workloads. x.com  x.com 

Arm is well positioned for the coming CPU boom, but its stock already prices in the next five to six years. It dominates AI ASIC servers, and ASICs' share of servers should grow substantially as AI workloads shift from training to inference. Yet at about 30x 2031 earnings it is optimistically valued and would need a lot of upside surprise to become attractive. x.com  x.com  x.com 

Arm signaled confidence in securing supply allocations: CEO Rene Haas said Arm can secure enough supply to meet $2B of customer demand for its AGI CPU, and real demand is probably larger, with growth supply-constrained as usual. Supply, not demand, is the limiting factor from Nvidia to its upstream suppliers; Ciena also says component availability is what limits its growth. x.com 

AI on the edge is barely factored into Nvidia's and AMD's valuations, yet it is likely to become a multi-trillion-dollar market. As Larry Ellison explains, real-time models for autonomous driving, robotics and industrial automation need ultra-low-latency compute inside the device, using chips very different from data center GPUs. Investors see the data center buildout but are still missing edge AI. x.com 

Arm cannot even raise its $2 billion customer-interest figure in what should be the greatest CPU market of our lifetimes, and whether it can deliver even that is still unproven. x.com 

Inference's move toward edge devices and dense, memory-hungry racks should drive demand for specialized chips, links, power delivery and cooling. McKinsey projects inference at 60% of AI computing demand by 2030. Ambarella makes on-device AI chips; Astera Labs links GPUs, memory and networks; Credo supplies short copper connections; Rambus earns from memory interfaces; Navitas reduces power waste; Modine cools dense racks; and Super Micro builds inference-specific server racks at volume. x.com  … Show more