Jim Chanos & Val Zlatev: Long and Short Alpha in AI, Semiconductors, Data Centers, Neoclouds, and Data Centers | MacroMinds Symposium 2026

The AI boom presents a complex investment landscape characterized by massive capital expenditure and significant valuation disparities. While semiconductor companies benefit from high demand and supply constraints, the long-term profitability of AI remains unproven, mirroring historical patterns of technological hype. Investors face a critical distinction between "picks and shovels" providers—such as chip manufacturers—and "landlords" like neo-cloud data centers, which may face diminishing returns on capital. Current market dynamics, including the capitalization of massive infrastructure costs and potential depreciation risks, suggest that while AI-driven productivity gains are visible in individual businesses, broader economic impacts remain speculative. The sustainability of this growth depends on whether compute demand continues to scale or if current order books reflect an unsustainable bubble similar to the late 1990s internet infrastructure expansion.