Microsoft’s Eric Horvitz warns Trump-era research cuts could cost the US its AI leadership

Microsoft

• Microsoft's Eric Horvitz warns US AI leadership at risk from research funding cuts
• Over 1,600 NSF grants canceled since 2025, cutting nearly $1B in funding.
• Horvitz says reduced funding may drive talent and innovation to rival nations

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Microsoft chief scientist Eric Horvitz has publicly criticised the Trump administration’s decision to sharply reduce federal funding for academic research, warning that the move risks permanently weakening the United States’ position in artificial intelligence. His comments place him among a small group of senior technology executives willing to speak openly about the long-term consequences of the cuts, which he argues could accelerate a shift of talent and innovation to rival nations.

Speaking to the Financial Times, Horvitz said he struggles to reconcile the ambition of competing globally in AI with policies that undercut the research ecosystem that made US leadership possible in the first place. He described the funding reductions as strategically self-defeating, particularly at a time when competition from countries such as China is intensifying.

“I personally find it hard to see the logic of trying to compete with competitor nations at the same time as making these cuts,” Horvitz said. As Microsoft’s first-ever Chief Scientific Officer, his role places him at the intersection of academic research and commercial AI development, giving his warning additional weight within policy and industry circles.

According to the report, since 2025 the Trump administration has cancelled more than 1,600 grants issued by the National Science Foundation, eliminating close to $1 billion in funding. The administration has justified the cuts as part of broader cost-saving measures or on ideological grounds, including opposition to grants linked to diversity initiatives. Horvitz argues that the rationale misses the broader point of what federal research funding has historically achieved.

He pointed to the founding of the NSF in 1950 as the beginning of a uniquely successful American model. Today, the agency accounts for more than a quarter of all federal basic research funding for US colleges and universities. Horvitz described this long-term investment in ideas and intellect as a defining advantage that allowed the country to build deep scientific capacity well before commercial returns were obvious.

“That vision turned out to be an impressive way to make an investment in the future,” he said. “By betting on intellect and ideas, we can make the world better in surprising ways.” He added that without decades of sustained government backing, the US would be “decades away” from the current AI boom that now underpins everything from consumer products to national security.

Horvitz also stressed that the foundations of modern AI were laid in academic settings rather than corporate labs. He noted that the core ideas behind large-scale language models emerged from university researchers exploring fundamental questions about intelligence, often without immediate commercial goals. In his view, weakening that environment threatens the pipeline that feeds both startups and established firms such as Microsoft.

Beyond lost grants, Horvitz warned of a longer-term brain drain. He argued that countries now copying the US approach to state-backed research will become magnets for top talent if America retreats from its own model. Researchers, students, and entire innovation ecosystems could migrate to regions where curiosity-driven funding remains stable and politically supported.

“Other countries are following what was a very unique American model,” Horvitz said. “If we don’t follow that model, the talent magnet, the training and the curiosity-driven investments will happen elsewhere. More than they do here.”

His comments underscore a growing concern within the technology sector that short-term political decisions could have irreversible effects on long-term competitiveness. As AI becomes central to economic power and national influence, Horvitz’s warning frames research funding not as discretionary spending, but as critical infrastructure for the future.