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Directs the Secretary of State to develop and carry out an international plan to accelerate the development, testing, deployment, and protection of AI tools for modernizing electrical grids around the world. The plan emphasizes international partnerships, equitable access for vulnerable regions, workforce training, cybersecurity standards, and coordination with other U.S. agencies, and authorizes the State Department to fund pilots and cooperative programs consistent with export-control rules while excluding classified or military-only research. Requires a progress report within 540 days and annual reports for five years to congressional foreign affairs committees covering partnerships, R&D and pilot outcomes, cybersecurity advances, training, renewable integration, challenges, and recommendations. The measure sets goals and reporting timelines but does not itself appropriate funds.
The bill promotes AI-enabled modernization of the power grid that could substantially improve reliability, renewable integration, workforce opportunities, and cyber-detection—but it raises near-term costs, new cyber and privacy risks, and depends on international coordination and reporting that may,
Households, businesses, and ratepayers will see fewer and shorter blackouts as utilities deploy AI for real-time monitoring, predictive maintenance, and autonomous restoration of the grid.
Grid operators and electricity consumers will benefit from faster detection of faults and cyber intrusions and improved anomaly detection as AI tools are developed and monitored, reducing outage scope and improving resilience.
Renewable-energy producers, distributed generation owners, and consumers could see greater integration of renewables and distributed resources—potentially lowering emissions and stabilizing or reducing energy costs over time.
Ratepayers and taxpayers may face higher near-term costs—higher electricity bills during upgrade periods and public costs to fund pilots, international programs, and ongoing reporting.
The increased use and rapid deployment of AI in grid control could create new cybersecurity vulnerabilities and implementation risks that may lead to service disruptions or be exploitable by attackers.
Consumers may face privacy and transparency trade-offs because rapid rollout and security concerns could deprioritize privacy protections and lead to withholding of sensitive technical details from the public.
Introduced February 25, 2026 by Pablo José Hernández · Last progress February 25, 2026