Founding principals drive hyperscaler AI conviction
The massive capital expenditures by tech hyperscalers on AI are backed by deeply held conviction because these firms are led by founding shareholders investing their own wealth and legacy, rather than agency-conflicted professional managers.
The argument
Lloyd Blankfein argued that while we cannot predict which specific AI technologies or large language models will ultimately succeed, the current investment cycle is uniquely driven by principals with skin in the game. He noted this structural alignment justifies making aggressive, diversified bets today despite the inevitability of some speculative waste.
The thesis, stress-tested
✓ What validates it
- ✓Hyperscalers maintain or increase capex guidance in upcoming quarterly earnings
- ✓Founding shareholders maintain or increase their equity stakes
▸ Risks discussed
- ▸Many AI technologies and LLMs will ultimately fail
- ▸A tech-bubble-like weeding out process is likely
- ▸Difficulty in picking the winning 2 to 4 models out of many
Hear it yourself
"Aron had a different culture. It was to the extent that this is all lost now because all these firms kinda blended, and you wouldn't know the difference. But at the time, Goldman was kind of an our crowd kind of a firm. It was a Jewishy kind of firm. Yep. So was Jay Aron, but very different. Interesting. Goldman was so was kind of like, you know, was kind of a, you know, the upper echelon an upper echelon crowd, and Jay Aaron was more of a kind of a streety guys. Yep. Goldman recruited from the Ivy League Yep. And, you know, people with MBAs."
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