The numbers are staggering: Microsoft, Alphabet, Meta, and Amazon are collectively on track to spend between $725 billion and $1 trillion on AI-related infrastructure by 2027. This isn't capital expenditure in the traditional sense — it's a land grab for the foundational resource of the next economic era.
The Compute Moat
OpenAI CEO Sam Altman has repeatedly framed AI strategy around compute access: "The amount of compute you have determines the size of the problem you can solve." The hyperscalers understand this. Every GPU cluster built today is a competitive moat that will compound for a decade.
Meta's Paradox
Meta's situation is particularly illustrative. The company confirmed plans to reduce headcount in May 2026, explicitly framing the layoffs as necessary to offset AI infrastructure investment. Humans are being traded for compute. This pattern will accelerate across every industry.
Google Cloud's 63% Surge
Alphabet reported a 63% year-on-year revenue increase for Google Cloud in Q1 2026 — driven entirely by enterprise AI demand. This is the clearest evidence yet that enterprise AI has crossed the chasm from experimentation to production deployment.
What Canada Must Do
Canada's federal AI compute strategy is moving — but not fast enough. Alberta's data centre ambitions in the Technology & Innovation Strategy 2.0 are a start. But without sovereign compute infrastructure at scale, Canadian businesses will remain dependent on US hyperscaler goodwill for access to frontier AI capabilities.
"Compute is the new oil. Alberta has always known how to extract strategic resources — it's time to apply that expertise to AI infrastructure."
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