In a rapid policy shift, U.S. states are moving ahead with targeted AI legislation even after President Donald Trump warned them not to regulate. With Congress stalled on a federal framework, lawmakers are focusing on specific use cases involving children, employer deployment, and developer obligations—aiming for oversight without the broader vetoed efforts. Trump’s executive order directed the attorney general to challenge state laws viewed as “minimally burdensome,” while the Commerce Department was instructed to identify problematic regulations. The White House also threatened to restrict funding from broadband and other grant programs for states with AI laws, though it said it would not target consumer- and child-safety measures. Meanwhile, the administration released a national policy framework encouraging preemption of state rules out of step with the federal approach. Bipartisan draft proposals in the House are already drawing intense criticism from both parties. For higher education, these developments can reshape how institutions adopt AI tools for admissions support, learning analytics, academic integrity, and student services—especially when state rules trigger compliance obligations before federal guidance settles.