The top four hyperscalers spent roughly $350 billion on capex in 2025. That number is heading toward roughly $400 billion in 2026. Every allocator watching this space has that figure memorized, because it’s the headline number, the one that gets quoted to justify why AI infrastructure is the trade of the decade.
Here’s the problem. That capex figure tells you how much money is being spent. It tells you nothing about how much of that spend converts into compute that’s actually online, actually powered, actually generating revenue on the timeline everyone’s modeling. You’re underwriting a market off the size of the check being written, not off the fraction of that check that clears the constraints actually gating deployment, land, permits, and above all, interconnection.
$400 billion chasing capacity that’s stuck 60-plus months deep in a grid queue isn’t $400 billion of realized infrastructure. It’s $400 billion of demand competing for a supply of clearable projects that’s a fraction of the headline number, and the gap between those two figures is exactly where every piece in this newsletter has been pointing.
The right number to underwrite isn’t total capex committed. It’s clearable capacity, adjusted for actual queue-clearance rates, adjusted for actual build timelines. That number is smaller, less exciting to quote in a pitch deck, and considerably more useful for figuring out where the real returns in this sector are going to land.
Subscribe for the closing piece in this series, or download the market report for the full capex-versus-clearance breakdown.