Hyperscalers designing their own chips favors Arm, Marvell and Broadcom, because custom ASICs optimize inference per watt in ways general-purpose silicon never will. Arm's architecture is the foundation most of these custom chips are built on. x.com
Johan Ekroth
AI Infrastructure/Space/Defense Investor, Bottleneck Research
Anthropic's $63B custom-chip deal bolsters Broadcom's case for growth from custom AI silicon. OpenAI's Jalapeño chip is seen as next, and the AI chip supercycle is just getting started. x.com
Broader adoption of custom AI silicon could benefit Broadcom and Marvell. OpenAI reportedly plans to expand its use of Google's TPUs beyond Nvidia GPUs, and Google TPUs are coming to Oracle Cloud in 2027. Both are potential tailwinds for custom-chip suppliers. x.com
ASIC design is a race to the bottom, very bearish for Broadcom, MediaTek and Marvell as more leading-edge wafer capacity comes online from TSMC, Intel and Samsung. Google sources IP and swaps vendors constantly, showing the design houses add little differentiated value, transceivers aside. AMD, Apple and Nvidia do not outsource because it dilutes margins and most IP is one-size-fits-all. At scale, wafer allocation is the real constraint; the shift may take a year or two. x.com x.com
AI infrastructure bottlenecks could give eight stocks as much as 18x upside. Nvidia supplies frontier-model GPUs; Broadcom and Marvell supply custom silicon and networking; TSMC makes advanced chips; Micron supplies sold-out HBM; Vertiv provides power and cooling; Palantir monetizes enterprise AI; Alphabet spans TPUs, research, cloud and apps. The list tracks where AI infrastructure spending is flowing. x.com x.com
Marvell expects its revenue to grow tenfold in five years to $80B, driven by custom chips it builds for hyperscalers. Those companies design their own chips to reduce reliance on Nvidia and cut the long-term cost of off-the-shelf parts. The custom segment had no revenue two years ago and is expected to bring in $30B by 2031. x.com
NVIDIA, AMD, Broadcom, Marvell, MediaTek and Cadence could not look more bearish, because hyperscalers don't want to work with them and are incentivized to cut them out. NVIDIA in particular is being disintermediated by Google's TPU program while priced like a monopoly; a post the author replies to notes it is now worth more than the GDP of every country except the US and China. x.com
Broadcom's integrated optics, electronics and packaging could lower custom-chip system costs because separate suppliers defend their margins. At similar valuations, it is preferred to Nvidia and has more room to beat expectations. Google TPU v8 shipments are estimated at 4.0M in 2026 and 9.1M in 2027, assuming Broadcom supplies the remainder after MediaTek's allocation. Anthropic financing adds value only if chip profit exceeds likely support payments and capacity costs. x.com x.com
Marvell's end-to-end networking approach is well suited to heterogeneous GPU, CPU and ASIC compute and mixed optical/copper technologies. Its shift from AI loser to winner deserves a lot of credit: its old custom-ASIC focus had lost out to Broadcom and Alchip, but it is now back in ASICs as Google's TPU v10 partner. The stock's excellent run reflects how it is now perceived. x.com
Broadcom and MediaTek risk losing chip ownership and margin as hyperscalers pull custom silicon in-house for platform control and margin. @jukan05 relays a rumor that Google will move to customer-owned tooling from TPU v9, ordering wafers directly from TSMC like AWS's Annapurna and reducing Broadcom and MediaTek to IP and design-service roles at lower per-chip margins. Even if not now, it will happen eventually, because the end state is all about optimization. x.com
Broadcom should keep benefiting as big tech companies build custom ASICs, with Meta launching its own chip with Broadcom, manufactured by TSMC, to cut compute costs and reduce reliance on Nvidia and AMD. Meta is also planning a 1GW data center in Alberta, a sign AI compute demand is not in surplus as feared. x.com