Nvidia’s $600bn slide puts AI spending under scrutiny
Nvidia shares fell about 12% from their 6 October record high by 16 October 2026, wiping roughly $600bn from the company’s market value in nine trading sessions. The pullback has spread across the AI and semiconductor sectors: the Philadelphia Semiconductor Index recorded its longest losing streak since 2008, while the 20 largest AI and chip companies lost about $1tn in value from 12 to 15 October.
Investors are reassessing whether AI companies’ revenue can justify the enormous cost of chips, data centres and other infrastructure. The Financial Times reported that OpenAI’s annualised revenue run rate was close to $50bn at the end of September, below earlier market estimates of $68bn–$70bn. Bloomberg later reported that growth in enterprise business could still lift the figure to $70bn by year-end. The figures may use different definitions and are not directly comparable.
Higher US inflation has also cooled expectations for interest-rate cuts, raising financing costs for capital-intensive data-centre operators such as CoreWeave. Concerns about memory-chip supply and leveraged funds cutting exposure have added to volatility. Nvidia is advancing its Vera Rubin platform, but its contribution will depend on delivery, customer adoption and whether AI spending produces measurable returns. For traders, the sell-off highlights growing sensitivity to AI revenue, funding costs and investment returns, alongside continued uncertainty over long-term demand.
Bearish
The immediate market signal is bearish for risk assets. Nvidia’s sharp decline, broad semiconductor losses and reports of leveraged funds reducing exposure point to weaker risk appetite and the possibility of further forced selling. Crypto markets often trade as high-beta assets alongside technology shares during periods of liquidity stress, so Bitcoin and major altcoins could face short-term pressure if the tech sell-off deepens or interest-rate expectations rise. Traders may watch BTC’s correlation with Nasdaq shares, funding rates, open interest, ETF flows and broader dollar and Treasury-yield moves for signs of contagion or stabilization.
The article does not identify a direct change in crypto regulation, network activity or token fundamentals, so it does not establish a crypto-specific downturn. The impact is mainly through sentiment, liquidity and cross-market positioning. Past episodes of technology-sector weakness have sometimes coincided with crypto drawdowns, particularly when leverage was elevated, although the relationship is inconsistent and can weaken when crypto-specific catalysts dominate.
Over the longer term, Nvidia’s product pipeline and continued AI demand could support a recovery in technology sentiment if customers demonstrate that AI spending generates durable revenue. Conversely, evidence that AI infrastructure investment is outpacing commercial returns, combined with persistently high financing costs, could keep pressure on growth stocks and indirectly weigh on crypto. The bearish classification therefore reflects near-term risk-off signals, not a conclusion that crypto fundamentals have changed.