Arm Holdings: the architecture tax on computing — re-rated for AI
A neutral, evidence-first reading of the company whose CPU designs sit inside almost every phone and a fast-growing share of AI data centers — assembled so you can reach your own conclusion.
Arm designs the CPU architecture that powers ~99% of smartphones and licenses it to the world's chipmakers — a capital-light, ~98%-gross-margin franchise that the AI build-out has pushed into the data center, and, for the first time in 35 years, into selling its own chip.
The genuinely open question is not whether Arm is important — its architecture ships in ~99% of smartphones — but whether it can convert AI-era relevance into the growth its valuation demands without weakening the licensing ecosystem that made it ubiquitous. The evidence cuts both ways on every major question below. This study lays out both cases; the verdict is yours.
The decisive questions
Each links to the section that lays out the evidence on both sides.
Arm says it reached ~50% of hyperscaler CPU compute, up from ~18% in two years, and data-center royalties more than doubled. But that is Arm's own metric, and smartphones — the royalty base — are flat to declining.
The March-2026 AGI CPU (lead customer Meta) captures far more value per system — but puts Arm in direct competition with the licensees whose royalties are its core business.
A royalty-free open ISA backed by Google, plus customers (Apple, Qualcomm, hyperscalers) designing their own cores — and a Qualcomm court win — all chip at Arm's pricing power. The ecosystem moat is deep but no longer unquestioned.
FY2026 revenue grew 23% to $4.92bn at ~98% gross margin — among the highest in large-cap tech. Yet the multiple prices years of flawless execution, and the average analyst target has sat well below the share price.
The growth that frames the debate
Total revenue by fiscal year (GAAP, US$bn). Three straight years above 20% growth — the bull case in one line, and the reason the valuation debate is so charged.
How to read this
Eight sections, each built the same way: a neutral synthesis, a two-sided case-for / case-against ledger, dated quotes, framework visuals, and the sources used. Start with the question that interests you, or read in order from Overview.