📈 Making sense of the AI capex logjam
Exponential View Hannah Petrovic ● Covered by 3 sources
AI builders are set to spend $863 billion in 2026, with about $550 billion tied to AI. That cash won’t hit earnings right away; a huge chunk sits as future depreciation.
Based on reporting by Exponential View, Hannah Petrovic — read the original for the full story.
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The AI buildout is turning into a timing problem as much as a spending one. Based on current guidance, the seven largest AI-infrastructure builders expect capital spending to reach $863 billion in 2026, up 88% from last year. Roughly two-thirds of that, or about $550 billion, is AI-related.
But the money doesn’t show up in earnings the moment a project starts. While sites are being built or assembled, the costs get parked on the balance sheet as construction in progress. Depreciation only begins once the assets are ready for use. That delay is the whole point of the logjam: the spending is real now, while the accounting pain arrives later.
Across the four hyperscalers that disclose this balance, assets not yet in service have climbed to $315 billion, from $281 billion a quarter earlier. That is both future capacity and a future bill. The number is doing double duty, and neither role is especially comforting if you care about near-term profits.
Meta shows how stretched the pipeline has become. A dollar of capex it spends now waits about 1.7 years before going live, which is a year longer than in FY2024. So only about a third of each dollar spent today reaches service within a year. Others are seeing the same trend, just less sharply.
My take — AI-written commentary, not fact-checked reporting
This is the part of the AI boom that gets talked about least because it’s dull and awkward: the bill lands first, the payoff later, and the gap keeps widening. The market loves the shiny new compute story; the income statement is stuck waiting in the hallway with a clipboard. That’s usually where hype goes to meet accounting.
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