The roughly $640-720 billion of 2026 hyperscaler capital spending underlying the AI build-out is now anchored to the payers' own filings rather than analyst estimates. Microsoft ~$190B, Alphabet $180-190B guiding 2027 "significantly increase," Meta $125-145B citing memory pricing, Oracle $55.7B up 162% with -$23.7B FCF. Amazon's $151B TTM figure is analyst-sourced. Bandwidth doubles only matter if this contracted demand holds.
From the best seats, the course confirms the buyer: power — not capital or chips — gates gigawatts, and memory bandwidth, not raw compute, is the wall. It refines with 20-year take-or-pay contracts and optical circuit-switching. It oversells where incentives predict: 'uncapped demand' is a token-seller's claim, the 2027-28 memory-glut counter-case goes unspoken, and the 'advanced packaging' layer has zero packaging content across twelve lectures. Clearest signal: insiders with opposite books describing the same market differently.
Look, you know, our filings show the concentration you're describing — top ten at 46% of revenue last quarter, up from 40% and 41% the two years before. Quite frankly, one customer over 10%, different one than a year ago, and we can't name any of them. It's the component supplier shape: revenue climbing while the buyer list narrows. We'll see how it tracks.
