The upcoming AI Action Plan is anticipated to establish a clear blueprint for reestablishing U.S. supremacy in artificial intelligence. It will highlight a strategy centered on innovation, economic competitiveness, national security, and the concept of “human flourishing.” In this context, the term refers to an aspirational goal that supports American leadership, economic strength, national power, and personal opportunity.

This interpretation of flourishing diverges from previous government or international frameworks that associate it with ethical considerations, fairness, or rights protection. Instead, Trump’s interpretation reflects a pro-innovation, pro-growth mindset. It implies that human well-being is best achieved not through strict regulations, but by ensuring the U.S. remains at the forefront of AI development—generating jobs, strengthening security, and upholding market freedoms. Rather than focusing on AI regulation for protection, the plan aims to unleash AI’s potential to boost enterprise and reinforce U.S. global influence.

A Growth-Oriented AI Strategy with Global Ambitions

The plan is expected to represent a major departure from the previous administration’s regulatory-heavy approach, which many viewed as stifling AI innovation. It will likely avoid any mention of addressing ideological bias and reject the imposition of progressive social objectives on AI systems. Instead, it will push for a deregulated environment, directing federal agencies to adopt a pro-innovation stance. In essence, the Action Plan is poised to mark a clear pivot toward fast-tracking AI development through reduced oversight and better-coordinated federal policies.

The U.S. AI Action Plan has emerged after a period of intense public debate that revealed stark contrasts between the tech industry and civil society. While major tech firms and venture capitalists push for minimal regulation, advocacy groups demand enforceable accountability standards.

This plan follows several recent policy moves: the easing of export restrictions that now allow Nvidia to sell most of its advanced chips to China—a decision supported by those who believe in spreading U.S. technology—and the Senate’s decision to let states regulate AI independently. Without a unified federal law, this could result in a patchwork of conflicting state-level rules. The AI Action Plan may serve as a catalyst for Congress to step in and establish a consistent national framework.

At the Pennsylvania Energy and Innovation Summit, President Trump highlighted over $90 billion in AI and energy investments from companies such as Google, Blackstone, and CoreWeave. These investments cover new data centers, hydroelectric upgrades, and natural gas infrastructure. Speaking at Carnegie Mellon University, the administration framed AI superiority over China as a national imperative, even as it relaxed environmental regulations to speed up development. Critics argue that this fossil-fuel-focused strategy threatens climate goals, but government officials have prioritized energy and security concerns over environmental ones.

Designing a comprehensive technology policy requires balancing multiple factors: market dominance and antitrust issues, product safety, responsible technology use, industrial policy, national security, intellectual property, environmental impact, and public welfare. Policies can either restrict or enable progress. Traditional regulation is often seen as restrictive, while industrial policy typically provides incentives to stimulate innovation. Each country or region will weigh these factors differently based on its core values. From the beginning of the second Trump administration, it was evident that innovation and global leadership would be central to the new AI strategy. This was clearly stated in the January executive order preamble:

“The United States has long been at the forefront of artificial intelligence (AI) innovation, driven by the strength of our free markets, world-class research institutions, and entrepreneurial spirit. To maintain this leadership, we must develop AI systems that are free from ideological bias or engineered social agendas. With the right Government policies, we can solidify our position as the global leader in AI and secure a brighter future for all Americans.”

Infrastructure, Investment, and the Boundaries of AI Oversight

The AI Action Plan should be viewed as a strong enabling policy. Potential measures include federal investments in AI infrastructure—such as computing clusters, high-speed networks, and energy-demanding data centers. To support this expansion, the plan may include energy policies and upgrades to the electrical grid to ensure stable and scalable power for AI operations. Workforce development will also be a key focus, with initiatives aimed at expanding STEM education, reskilling programs, and apprenticeships. AI research and development funding is expected to increase, as will access to public data sets. Streamlined regulations will open up economic opportunities, especially for small and mid-sized enterprises.

It remains to be seen how the plan will address safety and security concerns, including export restrictions, infrastructure protections, and incident reporting to safeguard national interests. It may also provide clarity on intellectual property issues that currently cloud the legal landscape of AI data and outputs.

Regulatory action is unlikely to be a major focus, as industry leaders—especially from leading AI labs and venture capital firms—have had a strong influence on shaping the plan. Recent difficulties in implementing the EU AI Act and Colorado’s AI law demonstrate the challenges of over-regulation. Both have faced criticism due to complexity, compliance burdens, and unclear enforcement.

As President Trump prepares to reveal the AI Action Plan, it’s clear the strategy will prioritize acceleration, infrastructure, investment, and innovation over regulation. The plan reflects a broader view of AI as a tool for national power and economic strength, rather than a technology that must be tightly controlled. Whether this approach will yield long-term benefits while managing potential risks remains uncertain. What is clear is that U.S. AI policy is about to undergo a significant transformation.

As the administration rolls out the plan and makes major announcements, I will provide a deeper analysis of its components, implications, and the path it sets for U.S. AI leadership.

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