Full Breakdown
AI-Related Stock Selloff Spreads Globally
By Drooid · · How we work
Core Event
On October 14 2026 and October 15 2026 equity markets worldwide recorded sharp declines in technology-focused stocks. In the United States, the S&P 500 fell 1.1 % and the Nasdaq slipped 1.9 % after a hotter-than-expected consumer-price index showed headline inflation of 3.7 % YoY. Higher Treasury yields—briefly above 5.32 % for the 10-year note—raised financing costs for companies building AI data-centers. The sell-off spread to Asia: South Korea’s Kospi dropped 7.6 % to 5,554.22, Japan’s Nikkei 225 fell 4.9 % to 64,425.95, and Taiwan’s Taiex slipped about 3 %. Chipmakers and AI-related firms led the declines, with Samsung down 9.5 %, SK Hynix down 11.1 %, CoreWeave plunging 15.5 %, Oracle losing nearly 9 %, and Nvidia shedding 3.2 %.
Background & Context
The AI boom of 2025-2026 spurred record capital spending on chips, cloud compute and specialized memory. Companies such as CoreWeave financed rapid expansion with high-yield debt, while semiconductor leaders posted consecutive quarters of record profit driven by AI demand. Earlier in the summer, AI-related equities had rallied sharply, creating “picks-and-shovels” valuations that many analysts described as “bubbly.” The September CPI surprise revived concerns that rising borrowing costs could choke the build-out of AI infrastructure.
Data & Statistics
- U.S. CPI (September): 3.7 % YoY, above the 3.6 % forecast.
- 10-year Treasury yield: peaked > 5.32 % before retreating.
- Kospi: –7.6 % to 5,554.22; Samsung –9.5 %; SK Hynix –11.1 %.
- Nikkei 225: –4.9 % to 64,425.95; SoftBank –9.3 %; Kioxia –12.3 %.
- CoreWeave: –15.5 % on October 14 2026.
- Oracle: –8.8 % on October 14 2026.
- Nvidia: –3.2 % on October 15 2026; AMD –5.7 %; Broadcom –3.1 %.
Why It Matters / Impact
The downturn hits economies that depend on AI-related exports. The International Monetary Fund warned that a correction in AI investment could “weigh disproportionately on Asia” because of the region’s central role in global technology supply chains. Higher financing costs also threaten the pace of data-center construction, potentially slowing U.S. growth expectations tied to AI-driven productivity gains. Competition from China’s CXMT adds a strategic dimension: investors fear Chinese advances could erode pricing power for established U.S. and South Korean manufacturers.
Official Statements & Responses
- Mohit Kumar, chief European economist at Jefferies, warned that “a slowdown in the AI infrastructure build out would imply a sharp slowdown in US growth expectations.”
Conflicting Reports & Gaps
OpenAI’s revenue figures appear inconsistent across sources. One report cited an annualized revenue run-rate of roughly $50 billion at the end of September 2026, while a later Bloomberg story projected the company would reach or exceed $70 billion by year-end. The discrepancy stems from differing accounting treatments—OpenAI’s disclosed run-rate excludes certain partner proceeds that other analysts include.
What’s Next
The Federal Reserve’s policy meeting on October 27 will test whether another rate hike is added to the tightening cycle, a factor that could further pressure AI-heavy equities. Upcoming earnings reports from major chipmakers and AI developers, together with the pending U.S. inflation data release, will provide clues on the durability of AI spending and the sector’s valuation trajectory.
