Frank Curzio
Founder & CEO of Curzio Research, Wall Street Unplugged Host
Debt-funded AI building is making tech stocks vulnerable to a 25-30% pullback as rates and energy prices rise. AI company borrowing reached $466B this year versus $101B a year earlier; weekly default-insurance trading on seven AI names rose from under $2B in July to over $9B in September. Keep cash for lower prices, though 30% earnings growth and a 19x market multiple argue this is not an AI bubble. x.comÂ
Nasdaq tech may have more downside before bargains appear because higher rates and energy costs threaten company forecasts this earnings season, and the market has yet to see the panic selling that usually marks a bottom. Hot September inflation puts rate hikes back on the table, with no cut to cushion the fall. The last session when 80% of NYSE volume went into declining stocks was November 17, 2025, the longest such gap in about 30 years. x.comÂ
Alphabet's AI capex payback is being repriced, making its post-earnings decline more than a one-day mood swing. Guidance and cloud and AI margin commentary are the near-term tests. If growth continues but the multiple compresses, the risk is duration in mega-cap AI, not a collapse in technology growth. x.comÂ
Expensive borrowing makes debt-funded AI projects harder to justify, pressuring AI stocks and the S&P 500. Inflation keeps pressure on rates. If Republicans lose Congress after the midterms, Trump could rely on executive action to speed permits, power projects and existing funding programs, keeping AI investment moving despite expensive money. Tech and risk assets could catch a bid if earnings hold and bond yields settle; Fed cuts remain uncertain. x.comÂ
Anthropic's S-1 and @UncleAlpha007's claim that Microsoft is growing despite a 27% headcount cut have turned the near-term tech-equity view bullish. At least a tradable rally is expected; further upside depends on Iran developments and PCE. Stay nimble. x.com x.comÂ
Easing credit fears should make debt cheaper for neoclouds and other capital-heavy AI builders, allowing some of the hardest-hit infrastructure stocks to explode higher. Five-year CDS for CoreWeave, Oracle, Meta, Amazon and Nvidia peaked on October 26 and has since eased. Anthropic's S-1, AI infrastructure earnings and Oracle's investor day gave the debt market evidence of demand and returns. The risks should fade quickly so long as revenue and pricing power keep showing up. x.comÂ
AI usage outstripping compute supply for the foreseeable future supports semiconductor demand despite cheaper tokens. Token prices fell about 90% in roughly three months, yet usage rose by more than that drop, so compute pricing keeps rising. AI revenue extends beyond LLM providers, including Meta, Google, Salesforce and ServiceNow. On- and off-balance-sheet debt is a risk; an AI bubble is likely eventually, but none is visible now. x.comÂ
AI stocks look undervalued relative to the broader market, since the S&P 500 is more stretched against its own history than the Nasdaq 100, despite the Nasdaq's higher absolute P/E. Per @MikeZaccardi, the Nasdaq 100 P/E holds at 24x. Those running capital markets dislike AI capex and AI stocks, but if the Mag 7 CEOs, excluding Apple, are right about AI, they will love the returns a few years out, just late. Both indexes could still be overvalued. x.comÂ
AI cloud infrastructure stocks risk falling together because neocloud providers depend on the same debt funding. Musk says debt markets have almost shut off financing for companies dependent on AI data-center revenue, though he is a chip buyer and balance sheets differ; Nebius remains up over the year. x.comÂ
Alphabet's surging AI capex is outpacing its payoff. Its first double earnings miss in four years came with free cash flow of -$9.1 billion versus -$2.7 billion expected, long-term debt up 479% in a year to $125.1 billion, and guidance for significantly higher 2027 capex above $300 billion. x.com x.comÂ
The AI supercycle is backed by real profit growth, not a bubble. Nasdaq-100 earnings-per-share growth just crossed 50%, faster than the post-GFC rebound and every expansion cycle of the last two decades, with revenue growth rising alongside it. Bubbles are built on multiple expansion and nonexistent earnings; this is an acceleration in real cash flow. x.comÂ
The S&P 500's concentrated, correlated AI exposure makes a large allocation too risky as rates rise. Higher rates could force data-center bondholders to sell AI equities; early AI use appears to be stagnating and unclear ROI may cap demand even if usage grows linearly. Failed lab IPOs or a credit-driven recession could also undermine the market. AI moving on-device or on-premise is another significant risk to data-center capacity demand. x.com x.comÂ
