STORY OF THE WEEK
Big Tech is Bulking for The AI Arms Race
*The latest earnings made one thing clear: big tech’s infrastructure spending is accelerating, not plateauing.*
The four largest players in cloud and AI infrastructure reported first-quarter results this week, and each arrived at the same conclusion: current spending levels are not enough. Microsoft, Alphabet, Meta, and Amazon collectively outlined capital expenditure plans that surpassed analyst expectations across the board, with executives citing surging demand signals, rising component costs, and a once-in-a-generation platform shift as justification for the escalation.
The buildout is being driven by a mix of raw demand and competitive pressure. Microsoft flagged that it expects to remain capacity-constrained through at least the end of 2026 even as it accelerates deployment. Alphabet's cloud backlog nearly doubled quarter-on-quarter, suggesting committed future revenue is piling up faster than infrastructure can support it. Amazon, meanwhile, pointed to existing customer commitments as de-risking a substantial portion of its planned spend.
Microsoft (MSFT) plans roughly $190B in 2026 capex, topping prior analyst forecasts near $150B; AI annual recurring revenue now exceeds $37B, up triple digits
Alphabet (GOOGL) raised 2026 capex guidance to $180B-$190B and flagged a further increase in 2027; Google Cloud crossed $20B in quarterly revenue for the first time
Meta (META) lifted its 2026 capex range to $125B-$145B on higher memory pricing and additional data center costs
Amazon's (AMZN) first-quarter capex rose sharply year-over-year to $43.2B, with the company on track to deploy $200B in full-year capital spending
Nvidia (NVDA) remains central to all four companies' infrastructure strategies, even as each moves to diversify with proprietary silicon. The message from this earnings season is that the AI infrastructure super-cycle is still in its early stages.

