# Nasdaq falls 2.1% as fears over AI debt and interest rates hit chipmakers and software stocks together

CoreWeave fell nearly 12% and AMD, Intel and Micron each lost more than 5%, and the S&P 500's 2% weekly decline erased the previous week's gains to a record high.

- Published: 2026-10-17T05:06:38.576Z
- Canonical: https://polylog.news/2026-10-17/nasdaq-falls-2-1-as-fears-over-ai-debt-and-interest-rates-hi
- Publisher: Polylog (Global desk)
- Section: markets
- Sources: [MarketWatch](https://www.marketwatch.com/story/nowhere-to-hide-tech-selloff-hits-software-and-chip-stocks-alike-6d96773c?mod=mw_rss_topstories), [Economic Times](https://m.economictimes.com/markets/us-stocks/wall-street-guide/ai-bubble-burst-may-trigger-2008-like-banking-crisis-says-gary-marcus/articleshow/135007219.cms), [Globes (Hebrew)](https://www.globes.co.il/news/article.aspx?did=1001559217#utm_source=RSS), [TradingKey](https://www.tradingkey.com/analysis/stocks/us-stocks/262221811-us-stock-market-close-nasdaq-drop-chip-stocks-fall-coreweave-micron-tradingkey)

On Friday the Nasdaq Composite [fell 2.14% to 26,140.03](https://www.tradingkey.com/analysis/stocks/us-stocks/262221811-us-stock-market-close-nasdaq-drop-chip-stocks-fall-coreweave-micron-tradingkey), the S&P 500 lost 1.09% to 7,659.44 and the Dow Jones Industrial Average slipped 0.34% to 52,002.41. CoreWeave, an AI cloud operator financed heavily with debt, fell nearly 12%. [MarketWatch](https://www.marketwatch.com/story/nowhere-to-hide-tech-selloff-hits-software-and-chip-stocks-alike-6d96773c?mod=mw_rss_topstories) noted that software and semiconductor stocks had seldom moved together this year but fell together on Friday as fears about AI and interest rates hit the market. AMD [fell 5.95%](https://www.themarketbreakdown.com/p/tech-slides-as-oil-climbs-and-small), Intel 5.79%, Micron 5.63% and Broadcom 4.52%. Energy shares gained 2.52% as crude rose.

For the week, the S&P 500 [lost about 2%](https://www.sfchronicle.com/news/world/article/stocks-rebound-after-tech-sell-off-and-indonesia-22479734.php), erasing the previous week's gains to an all-time high. The Nasdaq posted its worst week since June. Investors are questioning the debt behind AI data centers just as 10-year borrowing costs stay near 5%.

Gary Marcus, the AI researcher and longtime critic of large language models, gave the bearish case in comments reported by the [Economic Times](https://m.economictimes.com/markets/us-stocks/wall-street-guide/ai-bubble-burst-may-trigger-2008-like-banking-crisis-says-gary-marcus/articleshow/135007219.cms). He questioned OpenAI's ability to meet its financial commitments and warned that the failure of leading AI companies could cause losses across the financial system on the scale of the 2008 banking crisis. Marcus has made this argument for years, and the market's own pricing is a better indicator. Friday's sharpest falls hit the most leveraged infrastructure names, not the companies with the largest cash reserves.

The retail investors who supported the rally have not left. Israeli business daily [Globes](https://www.globes.co.il/news/article.aspx?did=1001559217#utm_source=RSS) reported from a Robinhood conference for high-risk traders that "everyone has a story about how they got rich." The paper described ordinary Americans as one reason the stock market keeps setting records.

## What this means

The AI build-out was financed on the assumption of cheap, plentiful credit. With 10-year yields above 5% and the Fed still leaning toward hikes, the most exposed companies are those that borrowed against future AI revenue: neocloud operators (cloud providers built specifically to lease out AI computing capacity), chip suppliers whose order books depend on those borrowers, and the private-credit funds that lent to them. The cash-rich hyperscalers face lower valuations but no funding gap. What is already priced is a slower pace of AI spending. What is not fully priced is refinancing risk at the leveraged end of the chain. The closest precedent is the 2000-2002 telecom bust, where the carriers that borrowed to build fiber failed while the technology itself survived. If yields stay near current levels, the likelier sequence over the next few months is wider credit spreads for AI infrastructure borrowers and more equity issuance, before any cut in hyperscaler capital budgets. The read would be proved wrong if strong cloud revenue in the coming earnings season shows customers paying fast enough to service the debt.

## What to watch

- Cloud revenue growth and capital spending guidance in the next round of hyperscaler earnings. Any cut in planned spending would hit chip suppliers first.
- Yields on bonds and loans issued by data-center and AI cloud operators. Rising spreads would show lenders repricing the risk before equity investors do.
- Retail brokerage inflows after a down week. Continued buying would mean the main source of marginal demand for tech stocks is still in place.