White House AI framework
The White House released a new AI policy framework that leans on state-level regulation and explicitly flags power generation as critical infrastructure — a signal that states will be expected to fill regulatory gaps around AI. The approach favors a decentralized governance model to balance innovation with security and ethical concerns. (siliconangle.com)
The White House published a four‑page “National Policy Framework for Artificial Intelligence” on March 20, 2026, formally sending a legislative blueprint to Congress that spells out the administration’s preferred statutory approach. (whitehouse.gov) The framework organizes policy into seven priority areas—child safety, community protections, intellectual property, free speech, innovation and energy, workforce development, and federal preemption—and recommends Congress act on those categories. (nextgov.com) The document instructs lawmakers to codify a “Ratepayer Protection Pledge” and to streamline federal permitting so AI developers can deploy on‑site and “behind‑the‑meter” power generation co‑located with data centers to accelerate buildout and support grid reliability. (whitehouse.gov) On March 4, 2026, seven companies—Amazon, Google, Meta, Microsoft, OpenAI, Oracle and xAI—signed the White House’s Ratepayer Protection Pledge, committing to build, buy or fund new generation and to pay for grid upgrades rather than shift those costs to residential ratepayers. (whitehouse.gov) Administration officials coupled the framework with a push for federal preemption of state AI rules; House Republican leaders publicly backed the proposal, which follows the December 11, 2025 executive order directing agencies to challenge state AI laws deemed “onerous.” (politico.com) The White House’s infrastructure guidance ties into prior permitting moves that identify data‑center projects requiring more than 100 megawatts of new load as qualifying for expedited review, while analysts warn data‑center electricity demand could account for roughly 25% of new domestic energy demand by 2030—factors likely to shape utility tariffs and siting decisions. (govinfo.gov)
