Sonali TiwaryMajor semiconductor manufacturers SK Hynix and Samsung Electronics experienced dramatic stock declines in July 2026, as investors reassessed expectations for artificial intelligence hardware demand amid concerns about slowing AI investment growth.
On July 2, SK Hynix fell approximately 14.6 percent while Samsung Electronics dropped about 9 percent, with selling so intense it triggered an emergency trading pause on South Korea’s Kospi stock index. The two companies lost approximately $290 billion in combined market value during the selling pressure.
The broader AI chip sector sell-off originated on Wall Street where US semiconductor stocks slumped overnight before spreading to Asian markets the following morning. South Korean companies bore the brunt of the decline given their dominant position as suppliers of memory chips critical to AI server infrastructure.
Reports that Meta Platforms was building internal cloud computing capacity to sell excess AI computing power spooked investors, signaling that hyperscale technology companies might reduce future chip purchases as they maximize utilization of existing infrastructure investments. The prospect of reduced demand from major technology companies dampened expectations for continued explosive growth in semiconductor sales.
Additional market concerns emerged regarding intensifying competition from Chinese AI models. Beijing-based Moonshot AI’s rollout of its Kimi K3 open-source model raised investor questions about whether massive US infrastructure spending for AI would generate anticipated returns if Chinese alternatives could achieve competitive capabilities at lower costs.
SK Hynix and Samsung are among the world’s largest suppliers of high-bandwidth memory chips essential for AI servers. Their shares are particularly sensitive to shifts in expectations for spending by American technology giants that constitute primary customers. The stock declines reflected investor recognition that extraordinary AI infrastructure spending may have created excess capacity relative to near-term demand growth, requiring adjustment in both market valuations and capital spending plans by semiconductor manufacturers. The sell-off highlighted volatility in AI-related investments and questions about sustainability of rapid spending patterns characterizing AI infrastructure development in 2025 and early 2026.
