Referred to the House Committee on Energy and Commerce.
Requires the Department of Energy (DOE), consulting with FERC and the Electric Reliability Organization, to assess how artificial intelligence (AI) and high-performance computing (HPC) — including probabilistic operating techniques — could enhance the capacity, reliable operation, and efficiency of the bulk-power system. The assessment must examine use cases, current adoption levels, and technical, regulatory, cybersecurity, or operational barriers, and submit a report with recommendations to two Congressional committees within one year of enactment.
Left emphasizes climate integration and algorithmic transparency.
Relative to its intended legislative type, this bill is a straightforward, time-bound reporting requirement that clearly defines purpose, primary topics to be covered, responsible parties, and reporting deadlines.
Requires the Department of Energy (DOE), consulting with FERC and the Electric Reliability Organization, to assess how artificial intelligence (AI) and high-performance computing (HPC) — including probabilistic operating techniques — could enhance the capacity, reliable operation, and efficiency of the bulk-power system.
The assessment must examine use cases, current adoption levels, and technical, regulatory, cybersecurity, or operational barriers, and submit a report with recommendations to two Congressional committees within one year of enactment.
Content is narrow, technical, and non-controversial, making passage plausible, though standalone report bills often stall absent legislative vehicle.
Relative to its intended legislative type, this bill is a straightforward, time-bound reporting requirement that clearly defines purpose, primary topics to be covered, responsible parties, and reporting deadlines. It requires consultation with relevant entities and references applicable statutory definitions.
Left emphasizes climate integration and algorithmic transparency.
These are examples from the analysis, not a ranked list of the most-affected groups.
Left emphasizes climate integration and algorithmic transparency.
Generally supportive of exploring AI/HPC to speed interconnections and integrate clean energy, while demanding safeguards.
Sees potential to improve reliability and equity in grid access but worries about cybersecurity, vendor concentration, and algorithmic transparency.
Views the bill as a reasonable, limited federal step to study modernization of grid operations.
Appreciates the consultative approach but wants clear cost-benefit analysis and measurable objectives to avoid mission creep.
Cautiously open to an assessment that could improve reliability, but wary of federal studies leading to regulation.
Prefers private-sector solutions and state authority, and is concerned about costs and centralization.
Reached or meaningfully advanced
Reached or meaningfully advanced
Still ahead
Still ahead
Still ahead
Content is narrow, technical, and non-controversial, making passage plausible, though standalone report bills often stall absent legislative vehicle.
The bill has not accumulated any surfaced votes yet.
Left emphasizes climate integration and algorithmic transparency.
Content is narrow, technical, and non-controversial, making passage plausible, though standalone report bills often stall absent legislativ…
Relative to its intended legislative type, this bill is a straightforward, time-bound reporting requirement that clearly defines purpose, primary topics to be covered, responsible parties, and reporting deadlines. It re…
Go beyond the headline summary with full stakeholder mapping, legislative design analysis, passage barriers, and lens-by-lens tradeoff breakdowns.