Hyperscaler Capex Tracker Q2 2026
Microsoft, Google, Meta, Amazon, and Oracle combined capex reached $98B in Q2 2026, on track for $400B+ annual.
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The AI infrastructure market is the largest capex cycle in tech history — $400B+ hyperscaler spend in 2026, dominated by Nvidia GPUs, HBM memory, advanced packaging, and the increasingly binding constraint of grid power.
Key Points
Power has overtaken chips as the binding constraint on data-center buildouts.
Custom silicon hits 15% of inference share; first credible challenge to Nvidia dominance.
Nuclear PPAs are emerging as the new strategic asset class for hyperscalers.
Capex disclosures imply 60% YoY growth; grid data caps physical buildout at 30–40%.
Hyperscaler 2026 capex
$400B+
60% YoYMicrosoft+Google+Meta+Amazon+Oracle
Nvidia accelerator share
85%
−4pp YoYdata-center revenue
U.S. data center power share
5.6%
1.6pp YoYof total grid load
PJM interconnect queue
6+ years
vs ~2 years pre-AINorthern Virginia data center alley
Microsoft, Google, Meta, Amazon, and Oracle combined capex reached $98B in Q2 2026, on track for $400B+ annual.
U.S. data center electricity demand projected to reach 9% of total grid load by 2028, up from 4% in 2024. PJM interconnect queue at 6+ years.
Nvidia retains ~85% data-center accelerator revenue share; Blackwell Ultra ramps Q3 2026, Rubin in H2 2027.
Microsoft signed a 20-year PPA for the full output of Three Mile Island Unit 1, restarting by 2028 to power AI data centers.
Custom silicon now accounts for ~15% of inference workloads at hyperscalers; cost advantages of 2–4× on optimized workloads.
UEC 1.0 specification ratified; aims to match InfiniBand performance for AI scale-out by 2027. AMD, Broadcom, Cisco, Meta backing.
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