The Trump Administration today released "America's AI Action Plan," a comprehensive roadmap outlining over 90 federal policy actions aimed at cementing the United States' leadership in artificial intelligence. The plan, unveiled on July 23, 2025, follows an executive order signed in January 2025 that revoked previous AI policies and sought to remove barriers to innovation. The White House emphasizes that the plan is designed to accelerate AI development, build robust American AI infrastructure, and strengthen international diplomacy and security in the AI domain.
The plan's focus on accelerating innovation has been met with positive reception from industry figures. Mike Knoop, a prominent voice in the AI community, expressed enthusiasm on social media, stating, "This is amazing to see because 12 months ago you could easily imagine the exact opposite headline." He highlighted several key areas within the plan expected to significantly boost innovation, including a strong emphasis on open-source development.
Knoop underscored the importance of open source, noting, "They are essential for academic research, which often relies on access to the weights and training data of a model to perform scientifically rigorous experiments." He also pointed to the plan's commitment to building a robust AI evaluation ecosystem, quoting the plan's intent to "Establish new measurement science that will enable the identification of proven, scalable, and interoperable techniques and metrics to promote the development of Al." This initiative aims to standardize assessment, moving beyond subjective evaluations.
Further accelerating progress, the plan prioritizes investment in the fundamental "Science of AI." Knoop highlighted this as crucial, stating, "Just as LLMs and generative Al systems represented a paradigm shift in the science of Al, future breakthroughs may similarly transform what is possible with Al. Prioritize investment in theoretical, computational, and experimental research." He also praised the foresight in investing in "AI-Enabled Science," which seeks to "Invest in automated cloud-enabled labs for a range of scientific fields, including engineering, materials science, chemistry, biology, and neuroscience."
The "America's AI Action Plan" is a significant step by the administration to foster a pro-innovation environment, aiming to ensure the U.S. remains at the forefront of AI development. Key figures such as David Sacks, the White House's Special Advisor for AI and Crypto, and Lynne Parker, Principal Deputy Director of the Office of Science and Technology Policy, have been instrumental in shaping this strategic document, which seeks to clear regulatory hurdles and encourage private sector-led advancements.