Google Cloud grew 63%, AWS 28%. Meta raised its full-year capex guide to $125-$145 billion, sending its shares down 6% after hours. Combined 2026 AI spending across five hyperscalers is now on track to exceed $650 billion.
The question hanging over Wednesday’s earnings calls was whether the AI investment supercycle was producing commensurate returns, or whether the hyperscalers were building faster than demand could justify. The answers varied by company, but they were good enough to avoid a reckoning.
Alphabet delivered $109.9 billion in revenue for Q1 2026, beating consensus by nearly $3 billion. The headline figure was Google Cloud, which grew 63% year on year to $20.02 billion, blowing past analyst estimates of $18.05 billion and accelerating sharply from the 48% growth it posted in Q4 2025.
Net income came in at $62.57 billion, up 81% year on year, though that figure was significantly inflated by a $36.9 billion unrealised gain on equity securities.
Capital expenditure reached $35.7 billion for the quarter, a 107% year-on-year increase, and the company raised its full-year capex guidance to $180-$190 billion, up from its prior $175-$185 billion range.
CEO Sundar Pichai told analysts the company is ‘compute constrained in the near term’ and that cloud revenue would have been higher had capacity kept pace with demand. The cloud backlog stood at over $460 billion, nearly double the prior quarter.
Amazon reported Q1 net sales of $181.5 billion, up 17% year on year and above the $177.2 billion consensus. AWS grew 28% to $37.59 billion, its fastest growth rate in more than three years and comfortably ahead of the 26% expected by analysts. Earnings per share of $2.78 crushed the $1.62 estimate.
CEO Andy Jassy has committed approximately $200 billion in capital expenditure for 2026. Free cash flow for the trailing twelve months compressed to $1.2 billion, a 95% decline year on year, as AI infrastructure spending accelerated. Second quarter guidance of $194-$199 billion in net sales was well above the $189.2 billion consensus.
Meta reported Q1 revenue of $56.31 billion, ahead of the $55.51 billion estimate, with Q2 guidance of $58-$61 billion bracketing the $59.56 billion consensus.
The contentious number was capex: Meta raised its full-year 2026 guidance to $125-$145 billion from the prior $115-$135 billion range, citing higher component costs and expanded data centre capacity. Shares fell roughly 6% after hours.
The increase underlines the extent to which Meta’s AI strategy is a bet on its own infrastructure rather than on third-party cloud.
Across three companies, the message is consistent: demand for AI compute is exceeding the infrastructure built to meet it. Pichai said it directly. Jassy’s $200 billion capex commitment is its own version of the same statement. Meta’s raised guidance acknowledges that even its aggressive spending is expanding.
Google Cloud’s 63% growth and AWS’s 28% growth reflect genuine external demand for AI infrastructure from thousands of enterprise customers.
Meta’s AI spending is largely internal: building the compute it needs for its own recommendation systems, generative ad tools, and Llama models. The difference matters for how investors read the capex numbers. External cloud growth is a revenue signal. Internal infrastructure investment is a cost.
The combined 2026 capex commitment across the five hyperscalers, Microsoft, Alphabet, Meta, Amazon, and Apple, is now on track to exceed $650 billion, according to industry estimates.
That figure is larger than the GDP of most European countries. If it produces commensurate returns across the corporate sector will be the defining financial question of the next two years.
