The AI trade has traded heavily during investor skepticism, but a Goldman Sachs strategist sees a structural demand driver independent of near-term equity sentiment: corporate capex acceleration.
The thesis hinges on policy timing. Companies may front-load compute infrastructure spending to secure operational frameworks and lock in current regulatory conditions before a new presidential administration in 2029. This would occur irrespective of whether AI equities remain under pressure.
The counterargument is substantial. "Sold to death" sentiment suggests investors have already priced in future growth or view current valuations as stretched, leaving limited near-term upside for AI-related names.
But the Goldman analysis identifies a demand-side catalyst distinct from valuation multiples or short-term market rotation. Corporate capital allocation driven by policy foresight—not equity performance—represents an independent demand pulse.
If accurate, such acceleration would sustain demand for hardware, data center capacity, and core infrastructure components regardless of AI stock price fluctuations.
