Dan Bin reverses: memory price surge is squeezing AI capex
Investor Dan Bin has flipped his long bullish stance on the memory sector, arguing the AI boom requires steadily falling token costs while rising memory prices push compute costs in the opposite direction. Citing estimates from Goldman Sachs, CICC and RBC, the column says memory inflation is eating into hyperscaler profits — CICC calculates that under a 170% memory price increase, token-generation efficiency per dollar on GB300 deployments is 37% lower than on GB200, and about $25bn of Microsoft's $190bn capex comes from memory price increases that add no new compute. It also says the four big cloud providers' combined free cash flow fell from roughly $60bn in Q4 2025 to about $7bn in Q2 2026, operating cash flow coverage of capex dropped from 1.79x to 1.06x, and tech giants have issued nearly $220bn of bonds in 2026 amid rising financing costs. The conclusion: whether the AI investment cycle can continue depends on costs falling and AI revenue catching up with both spending and financing costs. (Opinion and third-party estimates, not official figures.)
If memory inflation and rising financing costs keep squeezing cash flow, the shift from funding AI out of profits to funding it off the balance sheet becomes the key durability test for the AI capex cycle.