Alphabet

Alphabet's Q1 2026 earnings, reported in late April, made the scale of hyperscaler AI investment concrete. The company booked $35.7 billion in capex in a single quarter, with CEO Sundar Pichai telling investors Google was 'compute constrained in the near term' — the first public acknowledgement that AI demand is outpacing even Alphabet's infrastructure build. Google Cloud grew 63% year-on-year, passing $20 billion in a single quarter for the first time. Total backlog nearly doubled quarter-on-quarter to $460 billion, reflecting the depth of enterprise AI commitments.

The 'compute constrained' admission has direct employment implications: it signals that Alphabet's hyperscaler-driven revenue growth is presently limited not by customer demand but by physical infrastructure, making engineers who build and operate data centres more valuable than those who write application software. Google publicly backed the Economy of the Future Commission Act (S.3339) alongside Microsoft, lending corporate credibility to the bipartisan AI workforce study vehicle.

Alphabet's Q1 results, taken alongside Amazon and Microsoft's equivalents, show that hyperscaler AI capex has not moderated despite macroeconomic uncertainty: the collective quarterly build is running at a pace that, annualised, approaches $600 billion. The supply-chain bottlenecks that limit that build — foundry capacity at TSMC, HBM memory from SK Hynix — are the binding constraints on how fast AI deployment can actually accelerate.