AI Stocks Surge Following Trump’s Remarks
Major stocks in the AI sector experienced a spike in early trading on Monday, sparked by comments from President Donald Trump concerning potential government investment in leading tech companies.
NVIDIA saw an uptick of over 1%, while fellow chip manufacturers, Marvell and Micron, increased by 4% to 7%. AMD and Intel also enjoyed gains of more than 1%. Trump spoke to reporters aboard Air Force One, suggesting that the government’s involvement could be beneficial.
He remarked that the idea of the U.S. acquiring a stake in a prominent AI firm “could be great.” There’s an intriguing dynamic here, almost like a partnership with the citizens—it’s fascinating, really. He added that being part of this technological revolution could lead to substantial profits for many.
OpenAI’s CEO, Sam Altman, has been in discussions with U.S. officials, particularly during Trump’s second term. There’s been talk about how such government stakes could benefit the public. However, specifics remain vague at this point.
Reports indicate that Altman initially pitched this concept to Trump in early 2025, aiming to broaden the economic advantages of AI across society. Discussions reportedly involve AI companies voluntarily handing over shares to the government, with possible profits being funneled into public initiatives. One notion is to distribute dividends to American families, which I find somewhat intriguing.
Altman is also looking into other innovative programs, including tax-advantaged savings accounts for children—though it’s not entirely clear how that would work yet, reports suggest.
Back in November 2025, Altman noted that discussions had also touched on the idea of federal loan guarantees to spur the establishment of chip manufacturing facilities nationwide.
On June 2, Trump outlined a new initiative focused on AI, asserting the need for the U.S. to adopt top-tier technology rapidly to address national security challenges.
Altman expressed support in a post, emphasizing that the U.S. should maintain its leadership in AI by developing superior models while ensuring cybersecurity measures are robust.
Despite the evolving nature of these discussions, it seems clear—there’s a lot at play here, and the path forward is still being mapped out.





