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GPUs age like fine wine — until someone asks who keeps paying

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From the AI digest for Oct 25, 2026

Continuing thread: ai — The AI economy: inflation reads and capex math (watch)

What happened: Musk amplified two a16z chart posts on X on October 24–25, 2026: rental rates for NVIDIA GPUs are up across the board since January 1 — a16z's approximate year-to-date figures are H200 +160%, B200 +120%, RTX PRO 6000 +65%, H100 +35%, with even the six-year-old A100 renting above its price at the start of the year — and, zoomed out, GPUs still renting ahead of a standard six-year depreciation schedule (H200 +143%, B200 +111%, RTX PRO 6000 +73%, H100 +54%, A100 +9%, with most of the gap opening after April as token demand took off). Musk's caption: NVIDIA AI infrastructure "is a durable, investable asset that retains value." Hours later he volunteered the downside in his own voice, replying to a question about data-center supply: "I think we're going to see a lot of stranded compute in partially complete data centers." And on the reply chains the next morning (October 25, ~11:43 AM ET), Musk pushed back on the depreciation framing itself in the debate the charts kicked off: "Accounting depreciation is irrelevant (true depreciation is not). Delivering on projected cash flow is what matters" (Elon Musk (depreciation reply)).

What's genuinely new: Specific dated GPU-rental percentages, including a six-year-old chip renting above its January 2026 price and rentals beating the standard depreciation schedule — concrete numbers on the storyline's "who pays for the buildout" question, arriving the same weekend SpaceX's own disclosure that AI infrastructure brought in $7.6B (52% of Q3 revenue) was already circulating. Musk's stranded-compute line is the first oversupply warning from the loudest name in the buildout itself. All of it is X-grade commentary and chart-craft, not measured market data; the October 22 Axios token-price charts remain the only empirical pricing read on this file.

Watch: Whether a GPU-rental index joins token prices as a quoted benchmark, whether the stranded-compute worry shows up in any of the financing storylines (CoreWeave-style distressed compute debt, Terafab-style buildout plans), whether the a16z rental figures get corroborated by a second source with methodology, and whether the cash-flow-over-depreciation argument reaches any mainstream analyst treatment.

Sources Elon Musk (repost of NVIDIA AI Infrastructure) Elon Musk (stranded compute) Elon Musk (depreciation reply)

Next: Sacks's per-gigawatt math: SpaceX at $50B and a one-year payback vs CoreWeave's $20B and 2.5