U.S. stocks tumbled on Thursday, October 22, 2026, as renewed skepticism over artificial intelligence (AI) spending triggered a sharp selloff in technology shares. The Nasdaq Composite Index plunged 2.8%, or 751 points, before closing at 26,009, while the S&P 500 fell 1.2%. The Dow Jones Industrial Average posted a nominal gain of less than 0.1%.
Treasury yields also declined sharply, with the 10-year U.S. Treasury yield dropping below 5% for the first time since September 22, 2026, falling 18 basis points to 4.97%. The 2-year Treasury note tumbled 16 basis points to 4.659%, and the 30-year Treasury yield declined 14 basis points to 5.296%.
Market Reactions to AI Spending Concerns
The selloff was driven by investor concerns over the financial sustainability of AI infrastructure investments. Meta Platforms reported its first cash outflow in over a decade due to AI-related expenditures, despite beating earnings expectations. The company also announced a two-for-one stock split to raise capital for AI development, leading to a 7% drop in its stock price.
Tesla shares fell 3.1% despite posting positive free cash flow and reducing its 2026 capital spending plans. The Philadelphia Semiconductor Index (SOX), which tracks chipmakers central to AI infrastructure, plummeted 6.7%, marking its largest single-day percentage drop since June 23, 2026.
Treasury Yields Reflect Flight to Safety
Investors shifted capital into U.S. Treasuries, driving yields lower amid the stock market downturn. Analysts attributed the move to a "flight to safety" as concerns grew over AI-related bond issuance and geopolitical risks, including rising oil prices and Middle East tensions. Nvidia CEO Jensen Huang warned in a CNBC interview that capital scarcity could constrain AI growth, stating that demand for AI infrastructure far exceeds available funding.
Broader Economic Implications
The selloff underscores growing unease over the $10 trillion estimated cost of AI infrastructure development between 2025 and 2032, according to the Brookings Institution. This figure surpasses historical investment booms, including the dot-com era and 19th-century railroad expansion. Analysts noted that AI companies are increasingly reliant on debt and equity markets to fund expansion, raising questions about long-term profitability.
The Federal Reserve’s policy-sensitive 2-year Treasury yield fell to a five-week low of 4.68%, while longer-term yields also declined. The 30-year Treasury yield dropped to 5.32%, its lowest since September 30, 2026.
Corporate Earnings and Sector-Specific Pressures
Several major tech firms reported mixed earnings, contributing to the market downturn. Meta Platforms faced investor skepticism over its AI spending despite strong revenue, while Tesla’s reduced capital expenditures suggested caution in AI-related investments. The Nasdaq 100, which tracks the largest non-financial companies, fell 2.4% as investors reassessed the financial viability of AI-driven growth.
Analysts warned that the capital-intensive nature of AI development could strain corporate balance sheets. Adam Crisafulli of Vital Knowledge noted that AI growth depends on capital expenditures (capex) outpacing operating cash flow, making companies reliant on external funding. The credit environment tightening further complicates financing for AI infrastructure, potentially slowing expansion.
Government Response and Policy Considerations
The U.S. Treasury Department has taken steps to manage debt issuance amid rising AI-related bond sales. Secretary Scott Bessent announced a more aggressive bond buyback initiative in August 2026, aimed at influencing long-term yields. The move reflects concerns over the federal government’s competition with tech firms for capital, as companies like Amazon and SpaceX issue billions in bonds to fund AI projects.
The selloff highlights the interconnected risks between tech innovation, monetary policy, and geopolitical stability. Investors are now weighing the long-term benefits of AI against short-term financial strains, with broader implications for economic growth and market stability.