Nvidia CEO Jensen Huang downplays the impact of Trump's tariffs and collaborates with partners to promote the repatriation of manufacturing to the US.

NVIDIA CEO Jen-Hsun Huang said in an interview that President Trump's tariff policy will not have a significant impact on the company in the short term. Huang noted: "We have a lot of AI business to do, AI is the foundation and operating system of all industries in the future, and we are enthusiastic about developing in the United States."

Huang emphasized that NVIDIA is actively working with partners to bring manufacturing back to the United States, including cooperation with TSMC to help the company build chip manufacturing capabilities in the United States. He also specifically mentioned Foxconn and Wingtech, saying that these partners are also working together to promote the return of manufacturing. "It is very likely to bring manufacturing back to the homeland in the long run, and we will definitely work towards this direction," Huang said.

Earlier, the Trump administration announced new trade tariffs on the United States' three largest trading partners, Mexico, Canada and China, which triggered a quick response from these countries. Trump recently also said he would firmly push forward "reciprocal tariffs" against countries that impose trade barriers on American goods, while the White House announced that the new tariff policy would take effect on April 2.

Despite the widespread concerns brought by recent trade policies, Huang downplayed the impact: "The impact of these tariffs will not be significant in the short term," he said.

NVIDIA, a leader in the AI field, designs and produces graphics processing units for high-speed computing in artificial intelligence. The company's stock has fallen more than 20% since hitting a record high in January. The stock price decline was partly due to concerns about a possible decrease in demand for NVIDIA chips triggered by the technological breakthrough of DeepSeek, which developed a model that can achieve outstanding AI performance at lower infrastructure costs. Huang, however, refuted this view, saying that DeepSeek has driven the popularity of inference models, which will increase chip demand in the long run.