Executive Summary
Steve Milunovich identifies AI as a late-cycle technological bubble distinct from the dot-com's mid-cycle dynamics, creating specific investment implications for infrastructure plays. Memory stocks have surged hundreds of percent in six months as capacity constraints drive pricing power, with Micron trading at $431 after explosive gains from $61 lows. However, this mirrors the 1973 oil crisis supply shock pattern rather than sustainable demand growth. Nvidia's $2 billion CoreWeave investment exemplifies circular financing risks, while Oracle's $6 billion Meta contract announcement drove Corning to new all-time highs at 70x PE. The framework suggests fewer new winners than previous cycles, favoring incumbents like hyperscalers over pure-play infrastructure vendors. Milunovich warns that unlike dot-com's network effects, AI lacks similar capital-light scaling dynamics, potentially shifting value creation to application-layer adopters in traditional industries. With $3 trillion in projected data center spending through 2028, the supply-demand imbalance creates both opportunity and systemic risk as debt-financed buildouts may exceed actual utilization.
Key Insights
what Steve Milunovich said“The AI cycle being a late cycle bubble does not, it's going to require another wave of technology after it. In other words, AI is not the end of the road. It's the end of the previous 50 to 60 year wave”
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