Nasdaq-100 Selloff Deepens as AI Costs Rise
The Nasdaq-100 has fallen more than 5.8% in October, putting it on course to lose over $2 trillion in market value as investors question whether AI revenues will justify soaring infrastructure costs. Amazon’s shares initially fell more than 6% after it reported trailing 12-month free cash flow of negative $42.4 billion, down from positive $14.8 billion a year earlier, and outlined a $220 billion AI investment programme. Amazon later recovered much of its decline. Intel dropped more than 25% amid concerns about weak PC demand, manufacturing constraints and high capital needs.
Alphabet also came under pressure after reporting about $51.4 billion in quarterly capital expenditure, while weaker search advertising and negative free cash flow added to investor concerns. Big Tech’s growing reliance on borrowing—including Microsoft’s planned $25 billion bond offering—has raised questions about financing costs and investment returns. JPMorgan estimates AI capital expenditure could reach $900 billion in 2026 and $5.5 trillion cumulatively by 2030.
Demand for AI infrastructure remains strong: Amazon Web Services reported 39% annual revenue growth. The Nasdaq-100 selloff reflects investor concern that the scale and cost of AI spending may outpace companies’ ability to generate cash returns.
Bearish
The news is indirectly bearish for crypto markets because it signals rising risk aversion toward expensive growth assets. A sharp Nasdaq-100 decline can prompt traders to reduce exposure to volatile assets, including cryptocurrencies, particularly when concerns about AI investment, debt and cash flow weigh on technology shares. If equities fall alongside crypto, short-term correlations may strengthen as investors seek liquidity and reduce leverage.
Similar risk-off episodes have often brought pressure to Bitcoin and other digital assets, although the relationship is not consistent and crypto-specific catalysts can outweigh equity moves. Traders may watch Nasdaq futures, Treasury yields, the US dollar, Bitcoin’s correlation with technology stocks, and derivatives funding rates and liquidations for signs of spillover or forced selling.
The effect is not necessarily a lasting crypto-market downturn. The article describes a reassessment of AI spending returns, not a direct change in crypto regulation, adoption or blockchain fundamentals. If technology shares stabilize and liquidity conditions remain supportive, crypto assets could decouple. Over the longer term, sustained borrowing costs or a broader slowdown in risk appetite could constrain speculative investment, while a recovery in earnings and confidence could reverse the pressure. The market impact therefore depends on whether this selloff remains concentrated in AI-related stocks or broadens into a wider risk-asset repricing.