Concerns over AI’s return on investment intensify, sending the Nasdaq-100 Index down 6.7% in October—the worst monthly performance since March 2025.

October 31 — Bloomberg, citing the latest earnings reports, noted that tech giants’ results failed to ease market concerns over the return on investment in AI infrastructure. Although cloud computing businesses continue to expand, mounting pressure on free cash flow from data center construction has intensified investor selling sentiment—sending the Nasdaq-100 Index down 6.7% in October, its worst monthly performance since March 2025. Among the four hyperscale cloud providers, Amazon, Meta, and Alphabet all posted negative free cash flow this quarter, with Amazon’s deficit nearing $35 billion. Microsoft stood alone as the exception, reporting positive free cash flow of $18.6 billion; Azure revenue growth also exceeded expectations—yet its stock still fell 1.6% on Friday. Alphabet plunged 13% on Thursday—the largest single-day drop in company history—and has now reported negative free cash flow for two consecutive quarters. Its core search business, which accounted for nearly 56% of total revenue last year, delivered weaker-than-expected income, sparking deep market concern that its AI strategy may be cannibalizing its core operations. Since releasing its earnings report and raising its full-year capital expenditure forecast on October 21, Meta’s stock has declined 12% cumulatively. S&P Global Ratings downgraded Meta’s credit outlook from “Stable” to “Negative” on Friday, stressing that it remains unclear whether these massive investments will generate revenue growth outpacing cost increases in the future. Meanwhile, committed capital commitments are expanding further: Meta’s total future spending has risen to $825 billion, while Alphabet now carries over $1 trillion in future spending obligations. Concerns are spilling over into the software sector: ServiceNow slumped a record 31% on Thursday after issuing weak quarterly sales guidance; Twilio dropped 18% on Friday following disappointing guidance; and Fortinet lowered its services sales forecast, dragging down the broader cybersecurity sector. Investors broadly fear that products from AI-native firms like Anthropic and OpenAI could erode pricing power and margin headroom for traditional software companies. Chris Osmond, Chief Investment Officer at Fifth Third Wealth Advisors, said markets are now rewarding companies that demonstrably convert capital expenditures into revenue and tangible returns—while punishing those that have yet to deliver such conversion, or are even doubling down on investment. Anthony Saglimbene, Chief Market Strategist at Ameriprise, observed that tech giants are undergoing a structural shift—from light-asset, high-cash-flow models toward capital-intensive operations—altering both the stability and predictability of their cash flows, and thus demanding new valuation frameworks. In his view, the AI industry has entered a “self-validation” phase, where every quarterly earnings report will serve as a critical stress test for the rationale behind earlier high valuations.