U.S. tech stocks fell in premarket trading today, led by Nvidia, as worries that global competition in artificial intelligence (AI) will heat up triggered a sell-off across the sector. The disruptive move from Chinese startup DeepSeek, which just unveiled a free, open-source large language model that threatens to remap the AI landscape.
Shares of Nvidia , which is among the biggest beneficiaries of the AI boom, fell 9.84% as of 5:11 a.m. ET, reflecting fears about what the future will hold for the company with increased global competition. Chipmakers in Europe, including ASML and ASM International, also got caught in the downdraft, diving 10.59% and 14.94%, respectively, while semiconductor stocks slumped in Asian markets in Japan.
DeepSeek, which was still a little-known name up until recently, released its model and claimed to have built it in two months for less than $6 million. The low cost of development, well below that of the billions spent by U.S. tech giants, has sparked questions about how efficiently the West is spending to build A.I.
Last week, the company launched its latest reasoning model, which has already allegedly outperformed OpenAI’s state-of-the-art GPT models on several third-party benchmarks.
According to Srini Pajjuri, a semiconductor analyst at Raymond James, DeepSeek’s success is a wake-up call. “DeepSeek clearly doesn’t have access to as much compute as U.S. hyperscalers and somehow managed to develop a model that appears highly competitive.” That’s a strong challenge to the narrative that bigger budgets and all this massive infrastructure are always the way to go.
The aftermath of DeepSeek’s breakthrough echoes alarm about the future of A.I. leadership. The U.S. has led the world on AI for years, thanks in large part to companies like Nvidia, which makes the GPUs that make AI possible. DeepSeek released shows that times have changed as Chinese companies adopt clever tactics to bridge the gap.
The sell-off reflects wider anxiety about the durability of bloated valuations in the tech sector. U.S. companies’ aggressive investments in AI research and data centers are coming under scrutiny by investors who wonder whether such spending will continue to provide a competitive edge amid new entrants that are achieving similar results with far less effort.
