Accelerating innovation is a key pillar of America’s AI Action Plan

The White House  AI action plan, “Winning the AI Race: America’s AI Action Plan,” released on July 23, 2025, identifies over 90 Federal policy actions to be taken across three pillars—Accelerating Innovation, Building American AI Infrastructure, and Leading in International Diplomacy and Security. 

The actions for accelerating innovation includes guidance related to the workforce, manufacturing, and science, both AI-enabled and about AI itself. 

Regarding the workforce, the plan calls for expanding AI literacy and skills development, evaluating the impact of AI on the labor market, and retraining workers for the AI-driven economy. One recommendation is to establish an AI Workforce Research Hub to assess the impact of AI on the labor market. According to the plan document, “The Hub would produce recurring analyses, conduct scenario planning for a range of potential AI impact levels, and generate actionable insights to inform workforce and education policy.” 

To support next-generation manufacturing, the plan includes recommendations for using the Small Business Innovation Research program, the Small Business Technology Transfer program, research grants, CHIPS R&D programs, and other sources to develop and scale foundational and translational manufacturing technologies. 

Released by the White House Office of Science and Technology Policy, the AI plan observes that “science itself will be transformed by AI,” further noting that “(b)asic science today is often a labor-intensive process; the AI era will require more scientific and engineering research to transform theories into industrial-scale enterprises. This, in turn, will necessitate new infrastructure and support of new kinds of scientific organizations.” OSTP recommends “automated cloud-enabled labs” for a range of scientific fields, including engineering, materials science, chemistry, biology, and neuroscience. It also suggests that federally funded researchers should be required to disclose non-proprietary, non-sensitive datasets they used in their research.  

Building datasets, which the plan states is an area where the U.S. lags, is a key focus of the plan to accelerate innovation. US AI policy should strive for a balance between the “use of AI for evidence building by statistical agencies while protecting confidential data from inappropriate access and use.” One recommendation in this area is to create a genome sequencing program for “life on federal lands (to include all biological domains)” that would be a resource for training biological foundation models. 

The action plan follows President Trump's January executive order, "Removing Barriers to American Leadership in AI."