The White House has just released the American AI Script, titled “American AI Action Plan,” a comprehensive, high-impact federal strategy that articulates one thing: the United States is involved in artificial intelligence. Whether you are in Silicon Valley, leading the Fortune 500 properties, or managing key government agencies, the information is clear: scale AI is fast, dismantling obstacles, and performing secure U.S. leadership in technology, industry, and geopolitical aspects.
Clear ambition: surpass competitors, build relentlessly, and lead the world
The core goal is clear. The program draws inspiration from the space race and calls on all sectors to see AI as the necessity of economic and national security. Those who build the largest AI ecosystem will set global standards, reap economic rewards, and determine the future of technology. The document is a roadmap supported by the president’s execution of the order, which sees AI as the engine of the industrial revolution, the information revolution and the intellectual Renaissance, all happening immediately.
Pillar I: Accelerate AI innovation
Remove regulatory bottlenecks: The script first eliminates the “heavy regulations” and has a clear warning that states with mandatory AI rules may limit federal funding, grants, and contracts. Deregulation is described not only as a policy, but also as a key competitive advantage. For example, Executive Order 14179 revoked previous serious provisions, stressing that the need to “suffocate the bureaucracy” must not be “suffocated” at any level.
Federal Action Point:
- Review and repeal federal and state regulations that hinder the deployment of artificial intelligence.
- Now, the funding decision will consider a state’s AI-regulated climate.
- The task of institutions like OSTP and OMB is to quickly track the deregulation agenda.
What this means to you: If your operations or customer base spans multiple states, closely monitor how local regulations affect opportunities for federal and partner eligibility.
Open source and open weight models: The United States promises to create an open model with accessible “weights” as a national priority. These models are seen as crucial for research, SME adoption and independence from closed supplier systems. The plan also believes that the open model is a crucial “geographically strategic asset” with U.S. influence abroad and takes specific steps to create financial markets for AI computing and expand public-private partnerships under national AI research resources.
Pillar II: Building US AI infrastructure
Unleash national capabilities: The plan is perhaps the most intensive part, pointing to the huge demand for new data centers, semiconductor fabs, and all energy sources. The US power grid, which has been stagnant since the 1970s, has been marked as an emergency choke. Competitors like China have actively expanded their scale, and the plan is not subtle: “Build, baby, build” is avoided.
Key Infrastructure Actions:
- Simplified licenses: NEPA reform, classification exclusion and Fast-41 expansion will cut the traditional tape festival for data centers and energy projects.
- Grid overhaul: Stabilize existing grids, enhance the new generation (including nuclear and geothermal), and reform market incentive reliability.
- Semiconductor Renaissance: Chip Law will focus purely on rewards and capabilities (Minus) previous “ideological” add-ons – bringing advanced chip manufacturing back to the United States
What this means to you: Reached demand and volatility in data center space and energy pricing is expected. Security, diversify and lock-in partnerships for computing, cloud and hardware. Organizations are slow to ensure infrastructure may find themselves paying premiums or missed when bottlenecks hit.
Pillar Three: International Leadership, Security and Diplomacy
Allies, rivals and US standards: The script envisions not only domestic transformation, but also global movements. Exporting the “American AI technology stack” (chips, models, applications and standards) to allies has become an urgent task, and new mechanisms for economic diplomacy and standards are adopted at the international level. There are big points:
- Respond to the regulatory impact of China’s technology and multilateral institutions.
- Active tightening of export controls for semiconductor and AI technologies and advanced position verification of chip 1.
- Ensure strict national security reviews of domestic and international (especially confrontational) AI models.
Workforce: AI UPSKILLING and SOVINE PRACKION as core policies
Federal High Skills Sports: The program takes career-long AI skills development as a central federal funding goal and, under new guidance, taxes on AI training under Article 132 of the IRC are preferred. Two execution orders since April 2025 enhance commitment to K-12 AI literacy and “the future skilled industry.”
Possible measures:
- Prioritize the inclusion of AI training in apprenticeships, CTEs and higher education.
- New AI Workforce Research Center to track and predict work displacement trends and discover actionable insights.
- Provides rapid retraining and high skills to workers in industries facing automation pressures.
What this means to you: Companies must prioritize internal AI talent pipelines or risk-taking lag behind. Federal incentives will benefit organizations that embrace fast skills, especially in operations, engineering and cybersecurity roles.
Institutional AI adoption: Government as AI buyer and benchmark
Turnkey federal AI use: The program accelerates the procurement and deployment of government AI, especially in defense, public health and infrastructure. This includes formalizing the AI Officials Committee, establishing a government AI procurement toolkit, and deploying confidential, highly secure AI data centers for sensitive workloads.
Market Signals: Federal adoption is not only for display; it sets compliance, risk and procurement benchmarks that the private sector will need to meet government contracts and norms markets.
Strategic Points
- Regulatory “climate” now determines eligibility: Organizations in stricter regulatory states may lose access to billions of dollars in federal funds and contracts and now adjust your compliance script.
- The infrastructure is the king: The expected surge in computing and energy demand will reshape market price dynamics, which are locked advantage for moving.
- Open source AI is now a federal priority: Leverage open models for transparency, innovation and upcoming government plans.
- Talent and training are not optional: Now, investing in labor retraining and AI literacy capabilities has now motivated funds and is often a condition for funding.
- Federal procurement will shape industry standards: Many U.S. agencies, including military and health care, will soon demand compliance with the new federal toolkit and risk framework.
in conclusion
The US AI Playbook is a bold all-bet. It constitutes that AI is not incremental progress, but Targeting the future of the United States– Economically, geopolitical and scientifically. For organizations of all sizes, ignoring this federal roadmap is not a viable option. In line with these five strategic moves — reviewing regulatory risks, plans to volatility in infrastructure, leveraging open source artificial intelligence, investing in high-skills, and tracking federal adoption — is now the next industrial age in the United States.
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Asif Razzaq is CEO of Marktechpost Media Inc. As a visionary entrepreneur and engineer, ASIF is committed to harnessing the potential of artificial intelligence to achieve social benefits. His recent effort is to launch Marktechpost, an artificial intelligence media platform that has an in-depth coverage of machine learning and deep learning news that can sound both technically, both through technical voices and be understood by a wide audience. The platform has over 2 million views per month, demonstrating its popularity among its audience.
