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AI: Jobs, Power & Money
2MAY

Alphabet books $35.7bn Q1 capex; backlog hits $460bn

4 min read
15:17UTC

Alphabet booked $35.7 billion of capex in Q1 2026 alone, with Google Cloud growing 63 per cent past $20 billion in a single quarter and total backlog nearly doubling quarter-on-quarter to $460 billion as Sundar Pichai called Google compute constrained.

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Key takeaway

Alphabet's $460 billion backlog measures unmet AI demand, and Pichai says compute capacity is what limits Google.

Alphabet reported Q1 2026 revenue of $109.9 billion, up 20 per cent year-on-year, with Google Cloud growing 63 per cent past $20 billion in a single quarter for the first time 1. Quarter-one capex was $35.7 billion. Total backlog nearly doubled quarter-on-quarter to $460 billion, the disclosure that mattered most. CEO Sundar Pichai told the call that Google was "compute constrained in the near term".

The backlog figure is the cleanest signal in any of the Big Tech earnings this cycle. Backlog measures contracted future revenue that the company cannot currently fulfil because it does not yet have the compute capacity. A near doubling in a single quarter to $460 billion means demand is accelerating faster than Alphabet can build, and the $35.7 billion in Q1 capex is the spending rate that response requires. Annualised, Alphabet's capex run rate clears $140 billion, which puts it in the same range as Meta's revised guidance and within sight of Microsoft's $190 billion ceiling.

Pichai's compute constraint comment did the strategic work. When the CEO of a company spending $35 billion a quarter on data centres says he does not have enough capacity, the binding bottleneck on near-term AI revenue stops being model performance or product adoption and becomes physical infrastructure. Microsoft was running Azure at 40 per cent growth at the prior quarter and has since raised its own capex to $190 billion; Alphabet's backlog is the demand signal that justifies the $560 billion combined commitment across the four hyperscalers this year, and the matching pricing power that TSMC, SK Hynix and Samsung are converting into supplier margins. Some of the labour cost the hyperscalers are removing is being transferred into the supply chain rather than retained.

For savers exposed to the tracker funds that hold these four firms, the Pichai admission is reassuring on demand and unsettling on cost. Compute constraint at this scale means revenue is real; the capex it requires means free cash will not be returning to shareholders in the form most investors model.

Deep Analysis

In plain English

Alphabet is the company that owns Google. Most of its money comes from advertising, but it also runs Google Cloud, which businesses pay to use for computing power and AI services. In Q1 2026, Google Cloud grew 63%, from around $12 billion to over $20 billion in a single quarter, for the first time ever. More striking, Alphabet reported that customers have already signed contracts worth $460 billion in future cloud spending, roughly double what was committed three months earlier. Alphabet's CEO said that Google cannot yet build data centres fast enough to meet demand. Companies wanting to run AI workloads are signing contracts before the infrastructure exists, betting that Google will build fast enough to fulfil the commitment.

What could happen next?
  • Opportunity

    Google Cloud's compute constraint creates an 18-24 month window for European cloud providers (OVHcloud, Deutsche Telekom) to capture enterprise AI workloads that cannot wait for Google capacity, particularly for EU-domiciled data.

  • Consequence

    The $460 billion backlog commits Google Cloud to infrastructure delivery timelines that lock Alphabet into $35-plus billion quarterly capex through at least 2028, making headcount reductions the primary lever for operating margin management.

First Reported In

Update #8 · Beijing court bans AI sackings as Big Tech burns cash

Alphabet / SEC· 2 May 2026
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