Anthropic publishes 'Build AI in America' energy and infrastructure policy report
Anthropic released a policy report calling for major U.S. investments in energy infrastructure to support frontier AI development, projecting that the U.S. AI sector will need at least 50GW of electric capacity by 2028. The report proposes two strategic pillars: building large-scale AI training infrastructure on federal lands with accelerated permitting, and broader nationwide AI deployment infrastructure including geothermal, natural gas, and nuclear expansion. Anthropic discloses internal projections that single advanced model training will require 2GW data centers in 2027 and 5GW in 2028, framing the recommendations in the context of competition with China's rapid energy buildout.
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Anthropic Commits $50 Billion to U.S. AI Computing Infrastructure with Fluidstack
Anthropic is investing $50 billion in American AI computing infrastructure, partnering with Fluidstack to build custom data centers in Texas and New York, with additional sites planned. The facilities are purpose-built for Anthropic's workloads and are expected to come online throughout 2026, creating roughly 800 permanent and 2,400 construction jobs. The announcement aligns with the Trump administration's AI Action Plan and is framed as supporting domestic AI leadership. Anthropic cites growing enterprise demand—over 300,000 business customers and a sevenfold increase in large accounts over the past year—as driving the scale of investment.
Anthropic submits AI Action Plan recommendations to White House OSTP
Anthropic submitted formal recommendations to the White House Office of Science and Technology Policy in response to its Request for Information on a U.S. AI Action Plan. The submission covers six areas: national security testing of AI models, tightening semiconductor export controls (including H20 chips), enhancing lab security via classified government-industry channels, scaling energy infrastructure to 50 GW by 2027, accelerating government AI adoption, and preparing for economic disruption. Anthropic cites its expectation that powerful AI systems matching Nobel Prize-level intellect will emerge in late 2026 or early 2027, framing the recommendations as urgent national security and economic imperatives.
Anthropic publishes policy brief calling for targeted AI regulation within 18 months
Anthropic published a policy position paper arguing that governments have an 18-month window to enact narrowly-targeted AI regulation before risks in cyber and CBRN domains become acute. The post cites rapid capability gains—SWE-bench scores rising from 1.96% to 49% in a year, GPQA scores approaching human expert level—as evidence that frontier models are approaching meaningful misuse thresholds. Anthropic also reviews its Responsible Scaling Policy as a model for adaptive, proportionate risk governance and calls for similar frameworks to be adopted industry-wide and codified in law.
Anthropic Responds to White House AI Action Plan, Calls for Transparency Standards and Export Controls
Anthropic published a policy response to the White House's 'Winning the Race: America's AI Action Plan,' endorsing its focus on AI infrastructure, federal adoption, and safety research while urging additional steps on export controls and mandatory AI development transparency standards. The company highlighted alignment between the plan and its prior OSTP submissions, and noted its proactive activation of ASL-3 protections with Claude Opus 4 as evidence that safety and innovation are compatible. Anthropic called for a single national standard for frontier model transparency rather than a state-by-state patchwork, and encouraged continued investment in NIST's CAISI for evaluating frontier models on national security risks including CBRN capabilities.
Seizing the AI Opportunity: OpenAI's White House Policy Submission
OpenAI has submitted a policy document to the White House outlining recommendations for U.S. AI leadership, focusing on strategic investment in energy infrastructure and workforce readiness. The submission frames AI development as an 'Intelligence Age' imperative requiring expanded capacity. This represents OpenAI's formal engagement with U.S. federal policy on AI infrastructure and competitiveness.
Anthropic Endorses California SB 53 AI Safety Disclosure Bill
Anthropic has announced its endorsement of California Senate Bill 53, which would require large frontier AI developers to publish safety frameworks, release transparency reports before deploying powerful models, report critical safety incidents within 15 days, and provide whistleblower protections. The bill, authored by Senator Scott Wiener and informed by the Joint California Policy Working Group, takes a disclosure-based approach rather than prescriptive technical mandates, drawing lessons from the failed SB 1047. Anthropic frames the bill as formalizing practices already followed by major labs including Google DeepMind, OpenAI, and Microsoft, while creating a level playing field that prevents competitive pressure from eroding voluntary safety programs. Anthropic notes the bill's compute-based threshold (10^26 FLOPS) is an acceptable starting point but calls for future refinement as AI capabilities advance.
Anthropic responds to California Governor Newsom's AI working group draft report
Anthropic published a formal response to the California Governor's Working Group on AI Frontier Models draft report, endorsing its emphasis on transparency and evidence-based policy. Anthropic argues that light-touch mandatory disclosure of safety and security practices would be beneficial without impeding innovation, noting that current voluntary practices are uneven across frontier labs. The response also references Anthropic's Responsible Scaling Policy and Economic Index as examples of existing transparency efforts, and signals urgency given Anthropic's view that powerful AI systems may arrive as early as end of 2026.
Anthropic proposes ambitious federal funding increase for NIST AI measurement and standards
Anthropic published a policy proposal in April 2023 calling for a significant increase in federal funding for the National Institute of Standards and Technology (NIST) to support AI measurement, evaluation, and standards work. The post argues that rigorous AI capability and risk measurement is a prerequisite for effective regulation, and outlines a concrete funding program building on NIST's existing AI Risk Management Framework and related work. Anthropic frames this as a 'shovel-ready' complement to broader AI governance proposals, recommending at minimum a $15 million increase over FY2023 levels.