Ignoring some choice verbiage (e.g., DE&I or Climate), the AI Action Plan doc focuses on some ambitious goals related to ensuring America remains an AI leader.
Pillars I, II, III summarized:
i) Unleash AI: roll back EO 14110 regs, back open‑source/open‑weight, fund R&D & compute markets, grow talent.
ii) Build the stack: chips, DCs & power via NEPA/FAST‑41 fast‑tracks, grid upgrades, and new dispatchable geo/nuclear/fusion.
iii) Secure & lead globally: lock down frontier model misuse (bio/cyber), harden DOD/IC compute, police chip/export leaks.
Notable text from each Pillar below...
Pillars I, II, III summarized:
i) Unleash AI: roll back EO 14110 regs, back open‑source/open‑weight, fund R&D & compute markets, grow talent.
ii) Build the stack: chips, DCs & power via NEPA/FAST‑41 fast‑tracks, grid upgrades, and new dispatchable geo/nuclear/fusion.
iii) Secure & lead globally: lock down frontier model misuse (bio/cyber), harden DOD/IC compute, police chip/export leaks.
Notable text from each Pillar below...
Pillar I: Accelerate AI Innovation
-Support Next-Generation Manufacturing: Invest in developing and scaling foundational and translational manufacturing technologies via DOD, DOC, DOE, NSF, and other Federal agencies using the Small Business Innovation Research program, the Small Business Technology Transfer program, research grants, CHIPS R&D programs, Stevenson-Wydler Technology Innovation Act authorities, Title III of the Defense Production Act, Other Transaction Authority, and other authorities
-Support Next-Generation Manufacturing: Through NSF, DOE, NIST at DOC, and other Federal partners, invest in automated cloud-enabled labs for a range of scientific fields, including engineering, materials science, chemistry, biology, and neuroscience, built by, as appropriate, the private sector, Federal agencies, and research institutions in coordination and collaboration with DOE National Laboratories.
-Build World-Class Scientific Datasets: Direct the National Science and Technology Council (NSTC) Machine Learning and AI Subcommittee to make recommendations on minimum data quality standards for the use of biological, materials science, chemical, physical, and other scientific data modalities in AI model training.
-Support Next-Generation Manufacturing: Invest in developing and scaling foundational and translational manufacturing technologies via DOD, DOC, DOE, NSF, and other Federal agencies using the Small Business Innovation Research program, the Small Business Technology Transfer program, research grants, CHIPS R&D programs, Stevenson-Wydler Technology Innovation Act authorities, Title III of the Defense Production Act, Other Transaction Authority, and other authorities
-Support Next-Generation Manufacturing: Through NSF, DOE, NIST at DOC, and other Federal partners, invest in automated cloud-enabled labs for a range of scientific fields, including engineering, materials science, chemistry, biology, and neuroscience, built by, as appropriate, the private sector, Federal agencies, and research institutions in coordination and collaboration with DOE National Laboratories.
-Build World-Class Scientific Datasets: Direct the National Science and Technology Council (NSTC) Machine Learning and AI Subcommittee to make recommendations on minimum data quality standards for the use of biological, materials science, chemical, physical, and other scientific data modalities in AI model training.
Pillar II: Build American AI Infrastructure
Create Streamlined Permitting for Data Centers, Semiconductor Manufacturing Facilities, and Energy Infrastructure while Guaranteeing Security:
-Establish new Categorical Exclusions under NEPA to cover data center-related actions that normally do not have a significant effect on the environment.
-Expand the use of the FAST-41 process to cover all data center and data center energy projects
-Explore the need for a nationwide Clean Water Act Section 404 permit for data centers
-Expedite environmental permitting by streamlining or reducing regulations promulgated under the Clean Air Act, the Clean Water Act, and others
-Make Federal lands available for data center construction and the construction of power generation infrastructure for those data centers
Create Streamlined Permitting for Data Centers, Semiconductor Manufacturing Facilities, and Energy Infrastructure while Guaranteeing Security:
-Establish new Categorical Exclusions under NEPA to cover data center-related actions that normally do not have a significant effect on the environment.
-Expand the use of the FAST-41 process to cover all data center and data center energy projects
-Explore the need for a nationwide Clean Water Act Section 404 permit for data centers
-Expedite environmental permitting by streamlining or reducing regulations promulgated under the Clean Air Act, the Clean Water Act, and others
-Make Federal lands available for data center construction and the construction of power generation infrastructure for those data centers
Pillar II Continued:
Develop a Grid to Match the Pace of AI Innovation:
-The United States must prevent the premature decommissioning of critical power generation resources and explore innovative ways to harness existing capacity, such as leveraging extant backup power sources to bolster grid reliability during peak demand. A key element of this stabilization is to ensure every corner of the electric grid is in compliance with nationwide standards for resource adequacy and sufficient power generation capacity is consistently available across the country.
-Optimize existing grid resources as much as possible. This involves implementing strategies to enhance the efficiency and performance of the transmission system. The United States must explore solutions like advanced grid management technologies and upgrades to power lines that can increase the amount of electricity transmitted along existing routes
-Prioritize the interconnection of reliable, dispatchable power sources as quickly as possible and embrace new energy generation sources at the technological frontier (e.g., enhanced geothermal, nuclear fission, and nuclear fusion). Reform power markets to align financial incentives with the goal of grid stability, ensuring that investment in power generation reflects the system’s needs.
Develop a Grid to Match the Pace of AI Innovation:
-The United States must prevent the premature decommissioning of critical power generation resources and explore innovative ways to harness existing capacity, such as leveraging extant backup power sources to bolster grid reliability during peak demand. A key element of this stabilization is to ensure every corner of the electric grid is in compliance with nationwide standards for resource adequacy and sufficient power generation capacity is consistently available across the country.
-Optimize existing grid resources as much as possible. This involves implementing strategies to enhance the efficiency and performance of the transmission system. The United States must explore solutions like advanced grid management technologies and upgrades to power lines that can increase the amount of electricity transmitted along existing routes
-Prioritize the interconnection of reliable, dispatchable power sources as quickly as possible and embrace new energy generation sources at the technological frontier (e.g., enhanced geothermal, nuclear fission, and nuclear fusion). Reform power markets to align financial incentives with the goal of grid stability, ensuring that investment in power generation reflects the system’s needs.
Pillar III: Lead in International AI Diplomacy and Security
-Strengthen AI Compute Export Control Enforcement: Strengthen AI Compute Export Control Enforcement
-Strengthen AI Compute Export Control Enforcement: Evaluate frontier AI systems for national security risks in partnership with frontier AI developers, led by CAISI at DOC in collaboration with other agencies with relevant expertise in CBRNE and cyber risks.
-Prioritize the recruitment of leading AI researchers at Federal agencies, including NIST and CAISI within DOC, DOE, DOD, and the IC, to ensure that the Federal government can continue to offer cutting-edge evaluations and analysis of AI systems
-Strengthen AI Compute Export Control Enforcement: Strengthen AI Compute Export Control Enforcement
-Strengthen AI Compute Export Control Enforcement: Evaluate frontier AI systems for national security risks in partnership with frontier AI developers, led by CAISI at DOC in collaboration with other agencies with relevant expertise in CBRNE and cyber risks.
-Prioritize the recruitment of leading AI researchers at Federal agencies, including NIST and CAISI within DOC, DOE, DOD, and the IC, to ensure that the Federal government can continue to offer cutting-edge evaluations and analysis of AI systems
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