Bearish Into November. Room to Run After: Why Dan Niles Is Watching Hyperscaler Credit Default Swaps

AI represents a transformative industrial revolution, driving significant overinvestment as companies race to capture market share. While current valuations remain more grounded than those of the 2000 internet bubble, the sector faces risks from rising capital costs, geopolitical tensions, and the potential for a severe market correction. Semiconductor demand remains high, yet the emergence of Chinese competitors and the rapid commoditization of AI models through open-source alternatives threaten long-term profitability for current leaders. Investors must prioritize downside protection and remain flexible, as the history of technology shows that market share leaders often fail to sustain dominance. Ultimately, the shift toward agentic AI and usage-based billing models will likely redistribute value from model providers to infrastructure and application-layer companies, necessitating a disciplined, data-driven approach to portfolio construction rather than passive buy-and-hold strategies.