Capital expenditure by hyperscalers on AI infrastructure is expected to reach nearly $700 billion by 2026, a 60% increase from the previous year, mainly invested in chips, networking, and memory. Despite widespread AI adoption, current AI spending as a share of GDP remains low compared to past tech cycles, indicating significant room for growth. Long-term projections suggest trillions in AI infrastructure investment by 2030, implying the AI build-out cycle is still in its early to middle stages. Investors should watch capex guidance from major cloud spenders closely, as valuations are high and market volatility is expected. The article also highlights top investment picks in the AI infrastructure sector.
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