TLDR: The White House, under the Trump administration, unveiled ‘Winning the Race: America’s AI Action Plan’ on July 23, 2025, outlining over 90 federal policy actions to establish comprehensive AI governance. This plan aims to secure U.S. AI leadership, foster economic growth, and enhance national security through three pillars. A key controversial directive includes revising the NIST AI Risk Management Framework to remove references to ‘misinformation,’ ‘DEI,’ and ‘climate change,’ signaling a federal prioritization of innovation over certain socio-ethical safeguards.
The landscape of artificial intelligence governance in the United States has undeniably entered a new, formalized era. With the White House’s recent unveiling of ‘Winning the Race: America’s AI Action Plan,’ a comprehensive strategy outlining over 90 federal policy actions, the message is clear: full-spectrum federal AI governance is now a permanent reality. For policymakers, regulators, government technology advisors, AI ethicists, AI safety researchers, lobbyists, public affairs specialists, and non-profit leaders, this demands an urgent re-evaluation of long-term strategies for influencing and adapting to national AI policy and ethical standards. Further details on this pivotal development can be found in our coverage here.
The Policy Foundation: Executive Order and Strategic Pillars
This extensive action plan, released on July 23, 2025, builds directly on the January 23, 2025, Executive Order 14179, titled ‘Removing Barriers to American Leadership in Artificial Intelligence.’ The Trump administration’s vision for securing U.S. leadership and dominance in AI, fostering economic growth, and enhancing national security underpins this entire initiative. The plan is structured around three core pillars: Accelerating AI Innovation, Building American AI Infrastructure, and Leading in International AI Diplomacy and Security. Beyond these pillars, the plan is guided by foundational principles emphasizing empowering American workers, ensuring ideological neutrality (by preventing ‘woke AI’), and protecting against misuse.
Pillar I: Accelerating AI Innovation – Redefining the Regulatory Environment
The first pillar focuses intensely on fostering a pro-innovation economy by dismantling perceived bureaucratic barriers. Policymakers and regulators should note the directive to streamline regulations that may impede AI development and deployment, alongside calls to expedite permits for critical AI infrastructure like data centers. The White House Office of Science and Technology Policy (OSTP) is tasked with soliciting feedback from the private sector to identify and eliminate burdensome federal regulations. Crucially, the Office of Management and Budget (OMB) will now factor a state’s AI regulatory environment into decisions regarding federal AI-related funding. This signals a powerful incentive for states to align with federal deregulation objectives.
For AI ethicists and AI safety researchers, a particularly salient point is the mandate to revise federal procurement guidelines. These revisions aim to ensure that the government contracts only with large language model developers whose systems are deemed ‘objective’ and ‘free from top-down ideological bias,’ explicitly mentioning ‘DEI’ and ‘partisan or ideological judgments’ as exclusions. This shift could profoundly impact how ethical AI is defined and integrated into federal use cases, potentially narrowing the scope of what is considered acceptable AI development.
Pillar II: Building American AI Infrastructure – Foundations for Global Leadership
The second pillar outlines initiatives to bolster the nation’s foundational AI capabilities. This includes prioritizing American semiconductor manufacturing, partly through removing policy requirements for CHIPS Act-funded projects, and fostering high-security AI data centers with streamlined permitting. Government technology advisors will play a critical role in guiding these infrastructure investments and the associated technical standards. The plan also addresses the workforce imperative, promoting investments in AI-skilled workers and national initiatives for high-demand occupations, presenting clear opportunities for non-profit and NGO leaders focused on workforce development.
Further, the establishment of an AI Information Sharing and Analysis Center (AI-ISAC) within the Department of Homeland Security and the promotion of ‘secure-by-design’ AI technologies underscore a deep commitment to cybersecurity and resilience in the evolving AI ecosystem. This directly impacts AI safety researchers and government agencies responsible for critical infrastructure protection, requiring closer collaboration and shared intelligence.
Pillar III: Leading in International AI Diplomacy and Security – Projecting Influence Globally
The third pillar articulates a proactive U.S. stance on the global AI stage. The plan emphasizes exporting American AI ‘full technology stacks’—including hardware, models, software, applications, and standards—to allies and partners to promote U.S. values and national security. This is a significant move for lobbyists and public affairs specialists representing tech companies, as it signals a coordinated government effort to facilitate international market access. Simultaneously, it mandates new, more granular export controls on semiconductor manufacturing components and sub-systems, along with enhanced chip location verification technology to prevent sensitive AI tech from reaching ‘adversary’ nations.
For national security professionals, the plan heavily stresses accelerating AI adoption within the federal government, particularly the Department of Defense. This includes building out an ‘AI Evaluation Ecosystem’ for national security-related AI systems, focusing on vulnerabilities such as biosecurity, deepfakes, critical infrastructure, and malign foreign influence.
The NIST AI Risk Management Framework Under Revision: A Critical Juncture
Perhaps one of the most impactful policy actions, particularly for AI ethicists and safety researchers, is the directive to the U.S. Department of Commerce to revise the NIST AI Risk Management Framework (RMF). The explicit aim is to eliminate references to ‘misinformation,’ ‘diversity, equity, and inclusion’ (DEI), and ‘climate change.’ This is a stark departure from previous iterations of the NIST AI RMF (version 1.0 released January 2023, and version 2.0 in February 2024), which highlighted characteristics like fairness, accountability, and transparency to promote trustworthy AI. Non-profit and NGO leaders, who have often advocated for broader societal considerations in AI development, have already voiced concerns, with some characterizing the plan as ‘unbalanced’ and a ‘massive handout to the tech industry.’ The revision signals a federal prioritization of innovation and competitiveness over certain socio-ethical safeguards, compelling stakeholders to reassess their engagement strategies for future standards-setting.
A New Imperative for Strategic Engagement
The ‘Winning the Race: America’s AI Action Plan’ firmly establishes a new paradigm for federal AI governance. For Government, Policy and Ethics Professionals, the era of nascent AI policy is over; we are now in an age of active, top-down direction. The implications are profound and far-reaching, from how AI is developed and deployed to how it is regulated and integrated into national strategy. Proactive engagement, deep understanding of these 90+ policy actions, and strategic adaptation are no longer optional but essential. The coming months will be defined by the implementation details of this plan, agency-specific directives, and the industry’s response, all of which will offer new opportunities and challenges for shaping America’s AI future.
