Claim list

Unofficial support material. Not an NRC issuance. Every programmatic or quantitative claim below has one public citation. Marketing copy may use a claim only by its id.

The licensing schedule changes under Executive Order 14300 are included so speakers do not assign them to AI. See [C23].

Claims

[C02] Programmatic. The NRC enterprisewide AI strategy states this vision: to responsibly leverage artificial intelligence in support of the NRC mission, empowering staff to efficiently make risk-informed decisions, drive regulatory innovation, and protect public health, safety, and the environment. Source: https://www.nrc.gov/ai/enterprise-wide-strategy

[C03] Quantitative. The NRC published its fiscal year 2026 AI Strategic Plan on September 29, 2025. The plan, prepared and issued by Scott Flanders as Chief Information Officer and Chief AI Officer, says technological advancements are to support efficient, risk-informed, and reliable regulatory outcomes. Source: https://www.nrc.gov/docs/ML2526/ML25269A196.pdf and https://www.nrc.gov/ai

[C04] Quantitative. The NRC Artificial Intelligence Compliance Plan, prepared by Scott Flanders and issued in September 2025 under OMB Memorandum M-25-21, says staff receive secure access through enterprise-licensed tools, FedRAMP-authorized cloud environments, and NRC-approved commercial AI services, and that AI and machine learning tasks run inside protected computing environments. Source: https://www.nrc.gov/docs/ML2527/ML25272A276.pdf

[C06] Programmatic. The NRC set goals for AI implementation, appointed a Chief AI Officer, and created an AI Governance Board. An AI Steering Committee promotes cross-office coordination for future use of AI in NRC-regulated activities. Scott Flanders is the Chief AI Officer. Source: https://www.nrc.gov/ai

[C08] Programmatic. The enterprisewide strategy says AI tools provide new opportunities to expedite access to insights from historical and new information, streamline workflows, and create efficiencies at an enterprise level, and that the NRC is taking a phased approach that is evaluated before broader application. Source: https://www.nrc.gov/ai/enterprise-wide-strategy

[C10] Programmatic. The NRC AI use-case inventory says AI is not a substitute for professional judgment or legal interpretation. It is a support tool. The inventory is tied to the Principles of Good Regulation, which include Efficiency. Source: https://www.nrc.gov/ai/internally-focused

[C11] Programmatic. SimplifAI, use case NRC-0001, is deployed for text retrieval and generation. The inventory says it enhances efficiency and consistency in licensing, oversight, and other regulatory activities, supports more efficient capture of institutional knowledge against the risk of staff attrition, and is expected to improve the timeliness of risk-informed and policy-informed decisions. Source: https://www.nrc.gov/ai/internally-focused

[C12] Programmatic. Microsoft 365 Copilot and Microsoft Copilot Chat, use case NRC-0002, are deployed for routine administrative tasks and communications. The inventory says they improve efficiency by automating repetitive tasks, enhancing communication, and streamlining data analysis so staff can do higher-value work. Source: https://www.nrc.gov/ai/internally-focused

[C13] Programmatic. USAi, use case NRC-0003, is in pre-deployment. The inventory describes it as unified, secure access to multiple advanced language models intended to improve research, analysis, and decision-making efficiency. It is not listed as deployed. Source: https://www.nrc.gov/ai/internally-focused

[C14] Programmatic. Use case NRC-0004, testing of OpenAI ChatGPT Enterprise and Google Gemini for Government, is in pre-deployment. The inventory says the testing has supported efficiency in drafting, summarizing, and organizing non-sensitive information, and has informed policies and governance for possible later use. Source: https://www.nrc.gov/ai/internally-focused

[C15] Programmatic. The licensing efficiencies page says the NRC is piloting an internal-use generative AI tool to gain efficiencies in reviewing a new enrichment facility application, and that staff are leveraging Microsoft Copilot Chat to assist with licensing reviews such as researching precedents and comparing documents. The page does not give a percentage for that pilot. Source: https://www.nrc.gov/regulations-legislation/effectiveness-efficiency-and-timeliness-initiatives-that-support-unleashing-american-energy/licensing-efficiencies

[C16] Quantitative. The NRC AI FAQ says AI-powered cognitive search created ADAMS Content Search, which significantly streamlined search processes for staff, and that the public version, ADAMS Public Search, launched in January 2025. Source: https://www.nrc.gov/ai/faq

[C17] Quantitative. An October 2024 regulatory framework applicability assessment examined NRC regulations and more than 500 Regulatory Guides. It found the current framework generally sufficient to accommodate AI, with targeted areas where more clarification or guidance may help. Source: https://www.nrc.gov/ai/externally-focused

[C18] Quantitative. NUREG-2261, Artificial Intelligence Strategic Plan: Fiscal Years 2023-2027, published in May 2023, sets five goals so the staff can review AI applications in regulated activities effectively and efficiently. It is a readiness plan for reviewing industry use, not a measured internal productivity result. Source: https://www.nrc.gov/regulations-legislation/nureg-series-publications/publications-prepared-by-nrc-staff/sr2261

[C19] Quantitative. The Future Focused Research program launched in FY 2020. Public examples include machine learning to inform inspection planning, AI and machine learning to characterize cybersecurity states, and a natural language processing model applied to regulatory documents. Source: https://www.nrc.gov/ai/externally-focused

[C21] Quantitative. For the next 12 months, the NRC AI page says the agency will broaden generative AI training for staff and contractors and develop rules of behavior for generative AI tools. Source: https://www.nrc.gov/ai

[C22] Quantitative. The RIC 2026 session Modernizing Mission Work describes AI use cases that turn insights into automated workflows, including intelligent document processing and workflow optimization, to enhance productivity and reduce manual effort. That is a session description, not a measured savings figure. Source: https://www.nrc.gov/public-meetings-hearings/conferences-symposia/regulatory-information-conference/past-ric-information/2026/ric-2026-technical-sessions/sessionabstract3

[C23] Quantitative. Revised licensing milestone schedules, aligned to the 12-month and 18-month periods cited in Executive Order 14300, took effect on May 23, 2025. Those schedule changes are process and policy reforms. They are not an AI result. Source: https://www.nrc.gov/regulations-legislation/effectiveness-efficiency-and-timeliness-initiatives-that-support-unleashing-american-energy/licensing-efficiencies

[C24] Quantitative. A September 2025 briefing states that 2025 delivered the first internal AI tool, SimplifAI, and describes 2026 work to expand AI and data solutions for acceptance reviews, licensing, inspections, and mission support. The 2026 item is planned expansion, not a scored result. Source: https://www.nrc.gov/docs/ML2527/ML25273A300.pdf