AI infrastructure favored over heavy spenders
Courtney Garcia argued that investors should focus on the picks and shovels of AI infrastructure—such as energy and commodity companies building out data centers—rather than the tech companies heavily spending on CapEx.
The argument
Garcia highlighted Goldman Sachs' estimate that AI CapEx will rise from $765 billion to $1.6 trillion by 2031, raising concerns about near-term profitability for the spenders while guaranteeing demand for infrastructure providers.
The thesis, stress-tested
✓ What validates it
- ✓Energy and commodity stocks outperforming mega-cap tech spenders
- ✓Data center power demand metrics continue to rise
▸ Risks discussed
- ▸CapEx spending could be cut if AI monetization fails to materialize
- ▸Overcapacity in data centers could hurt infrastructure providers
Hear it yourself
"generally good for the chips potentially could be good bad for the hyperscalers, just cost going up. But when both are going down at the same time, is that a sign of concern or just a real serious sentiment shift? I look. You if you want market leadership, there's no question question that you need to see the semis outperforming the broader, Nasdaq 100 and certainly the S and P. I think we've largely had that for three years, and and I'm not sure we're getting that far away from it. The hyperscaler relative outperformance ended last summer."
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