Technology thesis · Computing Infrastructure
high conviction matureCloud computing
Cloud has become an AI-capacity business: a half-trillion-dollar market growing 35%, where ~75% of $600B+ hyperscaler capex buys GPUs and sovereign mandates fracture the global footprint.
Position maintained continuously · last reviewed Jun 24, 2026
The thesis
Core thesis
AWS (Matt Garman), Azure (Satya Nadella), and Google Cloud form an oligopoly. Cloud revenue exceeds $600B annually. AI is the growth vector — but AI workloads consume disproportionate power and compute, crowding out traditional cloud customers. Hyperscalers are diverting capacity from traditional cloud to AI training/inference, raising prices and reducing availability for non-AI workloads.
State of the art (2026)
Cloud is no longer a growth story about migration – it is an AI-capacity story. In Q1 2026 the market crossed a half-trillion-dollar annual run-rate, growing 35% year on year, with AWS, Azure and Google Cloud holding roughly two-thirds of it (28/21/14 by Synergys count). The marginal dollar now buys GPUs, not general compute: the Big Five guided to more than $600B of 2026 capex, around three-quarters of it AI infrastructure. That spend is reshaping the field. Google closed its $32B Wiz acquisition in March 2026; neoclouds like CoreWeave (guiding $12–13B revenue on a ~$100B backlog) sit between hyperscalers and chipmakers; and sovereign mandates in the EU, Gulf and China are fracturing what was a single global market.
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Signal stack
Evidence stacked leading → lagging
Technology-native KPIs
Metrics that predict trajectory, tracked over time
Landscape map
Who builds what — and who depends on whom
Catalyst calendar
Dated events that will move the position
Technology roadmap
Milestones on the path to maturity
Watchlists
Companies, people and papers — each with a remove-by condition
Decision frameworks
The same call, framed for your desk
Thesis changelog
When our view changed, and why
Change our mind
3 disconfirming conditions
The rest is inside
You've read the verdict. The file is much deeper.
The full signal stack, technology-native KPIs tracked over time, the landscape of who depends on whom, the dated catalyst calendar, decision frameworks for every desk, live watchlists and the changelog of every time our call on Cloud computing has changed — all live inside CanaryIQ.