“Market is overreacting to hyperscale credit spreads widening from my perspective. TL;DR Spot pricing for renting GPU compute materially above contracted rates implies hyperscalers are underearning while operating cash flow acceleration is an underestimated source of funds for AI https://t.co/D9FSHXQ8F8”
The market is overreacting to hyperscaler credit concerns because spot GPU rental prices exceed contracted rates and operating cash flow growth is underappreciated as AI funding.
“Market is overreacting to hyperscale credit spreads widening from my perspective. TL;DR Spot pricing for renting GPU compute materially above contracted rates implies hyperscalers are underearning while operating cash flow acceleration is an underestimated source of funds for AI”
Hyperscalers are earning below market rates because spot GPU rental prices exceed their contracted rates, while their cash flow growth is being underestimated.
“Market is overreacting to hyperscale credit spreads widening from my perspective. TL;DR Spot pricing for renting GPU compute materially above contracted rates implies hyperscalers are underearning while operating cash flow acceleration is an underestimated source of funds for AI”
Baker reports hyperscaler operating cash flow accelerated from $28B to $32B despite unusual legal expenses.
“Operating cash flow from Microsoft, Meta, and Amazon has reported accelerated from '28 to '32. There are some actually pretty big unusual items now like these hyperscalers.”
Baker says adjusting for one-time items shows hyperscaler operating cash flow accelerated from $28B to $35B.
“But there is an unusual amount of onetimers this quarter. And if you adjust for that, we went from 28 to 35. That's that's a material acceleration at this scale.”