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.
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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.
Anthropic submits AI accountability recommendations to NTIA, covering evals, red teaming, and pre-registration
Anthropic submitted a formal response to the NTIA's Request for Comment on AI Accountability, outlining a multi-part policy framework for governing advanced AI systems. Key recommendations include increased government funding for evaluation research, mandatory disclosure of evaluation methods, pre-registration of large training runs with national governments, mandated external red teaming before model release, and antitrust guidance to enable industry safety collaboration. The submission reflects Anthropic's core policy positions and advocates for risk-tiered oversight proportional to model 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 submits detailed recommendations to strengthen US AI chip export controls under Diffusion Rule
Anthropic filed a formal response to the Department of Commerce's 'Framework for Artificial Intelligence Diffusion' interim final rule, advocating for stronger export controls on advanced semiconductors to preserve US AI leadership. Key recommendations include adjusting the three-tier country classification system, lowering the no-license compute threshold for Tier 2 countries, and increasing enforcement funding for the Bureau of Industry and Security. Anthropic argues that Chinese firms like DeepSeek demonstrate export controls are working but warns of aggressive chip stockpiling and smuggling operations that undermine their effectiveness. The submission frames compute advantage as a national security imperative, warning that without strong controls, frontier AI infrastructure could offshore similarly to solar panels and semiconductors.
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 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.
OpenAI's Proposals for the U.S. AI Action Plan
OpenAI has submitted formal policy recommendations to the U.S. government as part of the AI Action Plan process, building on its previously published Economic Blueprint. The proposals are aimed at strengthening American AI leadership at a national level. This represents OpenAI's continued effort to shape federal AI policy and regulatory frameworks in its favor.
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.