AI infrastructure demand is just beginning
The guest argued that the AI infrastructure build-out is not a bubble, as enterprise adoption is only in its earliest stages with most use cases yet to be addressed.
The argument
The guest pointed out that major use cases like coding have only recently started working at scale, and most large enterprises have only adopted AI for a tiny fraction of their potential workloads. Consequently, the guest argued that long-term demand for physical compute and infrastructure will require orders of magnitude more capital.
The thesis, stress-tested
✓ What validates it
- ✓Continued acceleration of enterprise CapEx guidance
- ✓Widespread deployment of new non-coding enterprise AI use cases
▸ Risks discussed
- ▸Physical supply chain bottlenecks
- ▸Regulatory and power constraints in data center deployment
Hear it yourself
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