AI in the United States
33.0% of people of working age in the United States were using AI tools in 2026-Q2, by Microsoft's estimate, behind 20 of 147 economies. 10 instruments relevant to AI in US law and policy are indexed, 6 of them binding. Epoch AI lists 700 notable models with a developer in the United States, and 77 AI datacentre sites are recorded there in Epoch AI's hub.
- 33.0% of the working-age population using AI tools, 2026-Q2 AI Diffusion Report: AI User Share Microsoft AI for Good Lab Derived from anonymised Microsoft telemetry, then adjusted for OS/device market share, internet penetration and a modelled mobile-to-desktop ratio. It therefore measures Microsoft-visible AI use, scaled, not observed total AI use. Systematically less reliable where Microsoft platform share is low, and it cannot see AI embedded in products users do not recognise as AI. Cite Microsoft AI for Good Lab, "AI Diffusion Report: AI User Share". https://github.com/microsoft/ai-diffusion-report. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
- 6 of 10 indexed instruments that are binding law AI Law and Policy Index This site Our own reading of primary instruments, with a link to each. Not legal advice, not a compliance checklist and not exhaustive. Instruments that never mention AI are included where they apply to it, which is most of the Australian list. Statuses and commencement dates go stale; every record carries its review date. Cite AI Safety Tracker, "AI Law and Policy Index". https://aisafetytracker.org/policy/. Retrieved 23 October 2026.
- 6 of 10 governance readiness points AI Governance Readiness Index This site Our own editorial coding from primary legal sources, not an objective measurement. Every score cites a specific instrument and article. "Readiness" means the machinery exists to govern AI. It is emphatically not a judgement that the resulting rules are good, proportionate, or well enforced. Cite AI Safety Tracker, "AI Governance Readiness Index". https://aisafetytracker.org/methodology/governance-readiness/. Retrieved 23 October 2026.
- 33.1 GW of IT power planned at 77 sites in Epoch AI's hub, 12 GW of it operating AI Data Centers Epoch AI The largest AI sites Epoch has found, mostly in the United States. Epoch estimated in September 2026 that they hold 44% of the world's deployed AI compute, with a 90% interval of 23% to 81%. Power, compute and cost are Epoch's estimates from satellite imagery, permits and company statements; four in five IT power estimates fall within a factor of 1.4 of the true value. The owner is the owner of the chips, not necessarily of the building. Capacity after the date of retrieval is Epoch's projection. Coordinates are read from the hub's map page, which publishes them; the downloads do not. Cite Epoch AI, "AI Data Centers". https://epoch.ai/data/ai-data-centers. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
Law and policy
10 instruments that apply to AI in the United States, grouped by how binding each is. 6 are binding law, and 2 of those name AI or deepfakes in their titles. AI Law and Policy Index This site Our own reading of primary instruments, with a link to each. Not legal advice, not a compliance checklist and not exhaustive. Instruments that never mention AI are included where they apply to it, which is most of the Australian list. Statuses and commencement dates go stale; every record carries its review date. Cite AI Safety Tracker, "AI Law and Policy Index". https://aisafetytracker.org/policy/. Retrieved 23 October 2026.
- Statutes 5
- Rules made under an Act 1
- Binding on government only 2
- Voluntary standards 1
- Reviews and inquiries 1
| Binding instrument | Kind | Year |
|---|---|---|
| Colorado SB26-189, Automated Decision-Making Technology | Act | 2026 |
| California SB 53, Transparency in Frontier Artificial Intelligence Act | Act | 2025 |
| New York RAISE Act, Responsible AI Safety and Education Act | Act | 2025 |
| TAKE IT DOWN Act | Act | 2025 |
| Advanced computing and semiconductor export controls | Rule under an Act | 2022 |
| Federal Trade Commission Act, section 5 | Act | 1914 |
Data: the AI Law and Policy Index, read from each primary instrument. Not legal advice.
Use of AI tools
Share of the working-age population using AI tools, by reporting period, and the economies ranked either side of the United States in 2026-Q2. Microsoft's estimate from its own telemetry, scaled to each population. AI Diffusion Report: AI User Share Microsoft AI for Good Lab Derived from anonymised Microsoft telemetry, then adjusted for OS/device market share, internet penetration and a modelled mobile-to-desktop ratio. It therefore measures Microsoft-visible AI use, scaled, not observed total AI use. Systematically less reliable where Microsoft platform share is low, and it cannot see AI embedded in products users do not recognise as AI. Cite Microsoft AI for Good Lab, "AI Diffusion Report: AI User Share". https://github.com/microsoft/ai-diffusion-report. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
- 26.3% 2025-H1
- 28.3% 2025-H2
- 31.3% 2026-Q1
- 33.0% 2026-Q2
| Economy | 2026-Q2 | Rank | Relative magnitude |
|---|---|---|---|
| Canada | 38.5% | 16 | |
| Sweden | 37.3% | 17 | |
| Austria | 35.4% | 18 | |
| Taiwan | 33.8% | 19 | |
| Hungary | 33.3% | 20 | |
| United States | 33.0% | 21 | |
| Denmark | 32.4% | 22 | |
| Germany | 32.3% | 23 | |
| Poland | 32.3% | 23 | |
| Italy | 31.4% | 25 | |
| Saudi Arabia | 31.4% | 25 |
Ranked within 147 economies. Bars are scaled to the highest share, United Arab Emirates at 73.3%. The estimate measures AI use visible to Microsoft and is least reliable where its platform share is low.
Governance readiness
6 of 10 points on a five-dimension rubric recording how much machinery exists to govern AI, not how strict it is. 4 of 31 nationally coded jurisdictions score higher and 4 score the same. AI Governance Readiness Index This site Our own editorial coding from primary legal sources, not an objective measurement. Every score cites a specific instrument and article. "Readiness" means the machinery exists to govern AI. It is emphatically not a judgement that the resulting rules are good, proportionate, or well enforced. Cite AI Safety Tracker, "AI Governance Readiness Index". https://aisafetytracker.org/methodology/governance-readiness/. Retrieved 23 October 2026.
| Dimension | Score | What the score records |
|---|---|---|
| Binding law | 1 of 3 | Sectoral or partial rules only. |
| Oversight body | 1 of 2 | A coordinating or advisory body. |
| Evaluation capacity | 2 of 2 | An operating safety or evaluation institute. |
| Transparency duty | 1 of 2 | A general data-protection route only. |
| Strategy | 1 of 1 | A published national AI strategy. |
No federal horizontal AI statute. Executive Order 14110 was rescinded in January 2025 and replaced by Executive Order 14179, which directs policy without creating duties on developers; Executive Order 14365 of December 2025 directs federal challenges to state AI laws. Binding obligations sit in sectoral rules and in state law: Colorado's SB 26-189 on automated decisions, which replaced its 2024 AI Act in May 2026, and frontier-model statutes in California, SB 53, in force from January 2026, and New York, the RAISE Act, from January 2027. The Center for AI Standards and Innovation at NIST, formerly the US AI Safety Institute, runs model evaluations. Cited for the score: Executive Order 14179 (2025), Executive Order 14365 (2025), NIST AI Risk Management Framework (2023), Colorado SB 26-189 (2026), California SB 53 (2025), New York RAISE Act (S6953-B) (2025).
Data: the AI Governance Readiness Index. Against AI use in every jurisdiction: exposure against governance readiness
Compute thresholds
The 4 training-compute thresholds in US law and policy, the day each took its final form, and the models with a published compute figure above each that day and now. Models with a developer in the United States are counted separately. Compute Threshold Index This site Training-compute thresholds written into law, executive action or published policy, with the text that sets each one. Whether a given model crosses a threshold here is arithmetic on Epoch's compute estimates, most of which are estimates rather than disclosures, and is not a legal finding about any model or developer. Cite AI Safety Tracker, "Compute Threshold Index". https://aisafetytracker.org/capability/#thresholds. Retrieved 23 October 2026. Notable AI Models Epoch AI Inclusion is editorial ("notability criteria"), not exhaustive. Compute figures are frequently estimates; check the per-row confidence and notes columns before treating any value as measured. Cite Epoch AI, "Notable AI Models". https://epoch.ai/data/ai-models. Retrieved 23 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
| Where | Instrument | Threshold | Status | Dated | Above that day | First crossed | Above now | Developer here | Models above now, relative |
|---|---|---|---|---|---|---|---|---|---|
| California | SB 53, Transparency in Frontier Artificial Intelligence Act | 1e26 | in force | 2025-09-29 signed | 3 | Grok 3, 2025-02-17 | 4 | 4 | |
| Federal | Executive Order 14110, section 4.2 | 1e26 | revoked | 2023-10-30 signed | 0 | Grok 3, 2025-02-17 | 4 | 4 | |
| California | SB 1047, Safe and Secure Innovation for Frontier AI Models Act | 1e26 | vetoed | 2024-09-29 vetoed | 0 | Grok 3, 2025-02-17 | 4 | 4 | |
| New York | RAISE Act, Responsible AI Safety and Education Act | 1e26 | enacted | 2025-12-19 signed | 3 | Grok 3, 2025-02-17 | 4 | 4 |
What each threshold requires 4
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SB 53, Transparency in Frontier Artificial Intelligence Act
Applies to Frontier developers training models above the threshold
Consequence Duty to publish a frontier AI framework and transparency report, and to report critical safety incidents to the state.
Counts the initial training run plus later fine-tuning and material modification, so it is a cumulative figure rather than a single-run one. Larger obligations attach above an annual revenue threshold as well.
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Executive Order 14110, section 4.2
Applies to Developers of dual-use foundation models
Consequence Reporting of training runs, results of red-team testing and security measures.
The first compute threshold in any official instrument, revoked in January 2025. Included because it is still widely quoted as current, and because California later adopted the same number.
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SB 1047, Safe and Secure Innovation for Frontier AI Models Act
Applies to Developers of covered models above the threshold and above $100m training cost
Consequence Would have required a safety protocol, third-party audit and a shutdown capability.
Vetoed in September 2024. Its successor, SB 53, kept the compute threshold and dropped the audit and shutdown requirements.
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RAISE Act, Responsible AI Safety and Education Act applies from 2027-01-01
Applies to Frontier developers training models above the threshold, with the heavier duties on those with over $500 million in annual revenue
Consequence Duty to publish safety and security protocols and to report safety incidents to the state.
Signed in December 2025 and amended in March 2026 to track California's SB 53. It applies from 1 January 2027, so it is counted here as enacted rather than in force.
Whether a model sits above a line is arithmetic on Epoch's compute figures, most of which are estimates rather than disclosures. Nothing here is a legal finding about any model or developer.
Data: the Compute Threshold Index, and Epoch AI's compute estimates
AI datacentres and compute
77 AI datacentre sites in Epoch AI's hub in the United States, by the IT power planned at the last stage of each site's timeline, with the power operating now. AI Data Centers Epoch AI The largest AI sites Epoch has found, mostly in the United States. Epoch estimated in September 2026 that they hold 44% of the world's deployed AI compute, with a 90% interval of 23% to 81%. Power, compute and cost are Epoch's estimates from satellite imagery, permits and company statements; four in five IT power estimates fall within a factor of 1.4 of the true value. The owner is the owner of the chips, not necessarily of the building. Capacity after the date of retrieval is Epoch's projection. Coordinates are read from the hub's map page, which publishes them; the downloads do not. Cite Epoch AI, "AI Data Centers". https://epoch.ai/data/ai-data-centers. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
| Site | Planned IT power | Now | Relative magnitude |
|---|---|---|---|
| Microsoft Fairwater Wisconsin | 2.3 GW | 369 MW | |
| Anthropic-Amazon New Carlisle | 1.9 GW | 1 GW | |
| OpenAI Stargate New Mexico | 1.8 GW | none | |
| Meta Hyperion | 1.6 GW | none | |
| Colossus 2 | 1.5 GW | 946 MW | |
| OpenAI Stargate Shackelford | 1.4 GW | none | |
| QTS Cedar Rapids | 1.1 GW | none | |
| Meta Prometheus | 1 GW | 471 MW | |
| Goodnight | 1 GW | none | |
| OpenAI Stargate Michigan | 988 MW | none | |
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- 12 GW IT power operating at those sites now AI Data Centers Epoch AI The largest AI sites Epoch has found, mostly in the United States. Epoch estimated in September 2026 that they hold 44% of the world's deployed AI compute, with a 90% interval of 23% to 81%. Power, compute and cost are Epoch's estimates from satellite imagery, permits and company statements; four in five IT power estimates fall within a factor of 1.4 of the true value. The owner is the owner of the chips, not necessarily of the building. Capacity after the date of retrieval is Epoch's projection. Coordinates are read from the hub's map page, which publishes them; the downloads do not. Cite Epoch AI, "AI Data Centers". https://epoch.ai/data/ai-data-centers. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
- 12,789,000 H100 equivalents of compute at those sites AI Data Centers Epoch AI The largest AI sites Epoch has found, mostly in the United States. Epoch estimated in September 2026 that they hold 44% of the world's deployed AI compute, with a 90% interval of 23% to 81%. Power, compute and cost are Epoch's estimates from satellite imagery, permits and company statements; four in five IT power estimates fall within a factor of 1.4 of the true value. The owner is the owner of the chips, not necessarily of the building. Capacity after the date of retrieval is Epoch's projection. Coordinates are read from the hub's map page, which publishes them; the downloads do not. Cite Epoch AI, "AI Data Centers". https://epoch.ai/data/ai-data-centers. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
- 119 GPU clusters in Epoch AI's cluster records, 2 GW of known power GPU Clusters Epoch AI Compiled from public reporting; each row carries a certainty flag ranging from confirmed to speculative. Chinese clusters are systematically less well documented than US ones, so country totals understate opacity as much as they measure capacity. Cite Epoch AI, "GPU Clusters". https://epoch.ai/data/gpu-clusters. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
Hub power and compute are Epoch's estimates, and planned power is its projection from permits and announcements. Epoch's cluster records are a separate compilation, not reconciled with the hub, and count power only where it is known.
Data: Epoch AI
Notable models
700 models in Epoch AI's notable models list with an organisation in the United States among their developers, 189 of them from academic groups and 117 published since January 2025. The largest training compute recorded for any of them is 9.4e26 FLOP, for GPT-6 Astra. Notable AI Models Epoch AI Inclusion is editorial ("notability criteria"), not exhaustive. Compute figures are frequently estimates; check the per-row confidence and notes columns before treating any value as measured. Cite Epoch AI, "Notable AI Models". https://epoch.ai/data/ai-models. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
| Year | Models | Relative magnitude | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 2026 | 53 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2025 | 64 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2024 | 57 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2023 | 86 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2022 | 68 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2021 | 54 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2020 | 37 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2019 | 56 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2018 | 27 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2017 | 29 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Organisation | Models | Relative magnitude | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 82 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| OpenAI | 80 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Google DeepMind | 50 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Meta AI | 44 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Stanford University | 35 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Google Brain | 31 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nvidia | 31 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Google Research | 30 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Carnegie Mellon University (CMU) | 29 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Microsoft | 27 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Notability is Epoch AI's editorial judgement, not a census. Organisations are named as Epoch names them, so one company can appear under several names. 32 models are counted in the total and by year but not by organisation, because Epoch's lists of organisations and countries for them do not line up.
Data: Epoch AI, Notable AI Models
Frontier developers
The developers in the Frontier Safety Framework Index with notable models Epoch AI credits to an organisation in the United States. 7 are based there. A developer is based where most of its credited models were built. Notable AI Models Epoch AI Inclusion is editorial ("notability criteria"), not exhaustive. Compute figures are frequently estimates; check the per-row confidence and notes columns before treating any value as measured. Cite Epoch AI, "Notable AI Models". https://epoch.ai/data/ai-models. Retrieved 18 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/. Release Safety Disclosure Index This site Our own reading of the system card, model card or safety report each developer published for each release Epoch AI lists from 2025, joined to Epoch's list. Every cell is what a developer says about its own model under its own framework: whether a card came out with the release, whether it reports dangerous-capability results, which government institutes it names as pre-release testers, and whether it says a risk threshold was reached. None of it is verified. A release Epoch adds after the last review is shown as awaiting review. Cite AI Safety Tracker, "Release Safety Disclosure Index". https://aisafetytracker.org/alignment/#releases. Retrieved 18 October 2026. Notable AI Models Epoch AI Inclusion is editorial ("notability criteria"), not exhaustive. Compute figures are frequently estimates; check the per-row confidence and notes columns before treating any value as measured. Cite Epoch AI, "Notable AI Models". https://epoch.ai/data/ai-models. Retrieved 18 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
| Developer | Models credited here | Of all its models | Based in | Card on the day |
|---|---|---|---|---|
| Google DeepMind | 176 | 217 | here | 6 of 8 |
| OpenAI | 80 | 80 | here | 22 of 30 |
| Meta | 63 | 92 | here | 3 of 5 |
| Microsoft | 42 | 47 | here | 1 of 1 |
| Anthropic | 22 | 22 | here | 15 of 15 |
| xAI | 9 | 9 | here | 1 of 6 |
| Amazon | 6 | 6 | here | - |
Models are credited where Epoch's organisations and countries pair up, so a model whose two lists do not line up is not credited anywhere here. Card on the day counts releases since January 2025 in the Release Safety Disclosure Index, each the developer's own statement.
Data: Epoch AI, Notable AI Models, and the Release Safety Disclosure Index
Official publications
18 publications on AI from US government feeds in the news feed's 120-day window, the latest 6 below, from 6 publishers in all. Headline and a short extract, each linking to the publisher. Federal Register API US Office of the Federal Register Full-text keyword matching on "artificial intelligence" returns documents that merely mention AI in passing. Requires topical filtering before display. Cite US Office of the Federal Register, "Federal Register API". https://www.federalregister.gov/developers/documentation/api/v1. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/. NIST news US National Institute of Standards and Technology Covers all of NIST's remit; AI is a small fraction. Requires topical filtering. Cite US National Institute of Standards and Technology, "NIST news". https://www.nist.gov/caisi. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
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Notice of Public Meetings of the Michigan Advisory Committee to the U.S. Commission on Civil Rights
Notice is hereby given, pursuant to the provisions of the rules and regulations of the U.S. Commission on Civil Rights (Commission) and the Federal Advisory Committee Act, that the Michigan...
Civil Rights Commission Federal Register API US Office of the Federal Register Full-text keyword matching on "artificial intelligence" returns documents that merely mention AI in passing. Requires topical filtering before display. Cite US Office of the Federal Register, "Federal Register API". https://www.federalregister.gov/developers/documentation/api/v1. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
- AI Policy Federal Advisory Committee Act, regulations
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Notice of Order Regarding Exclusion and Removal of DeepSeek Products From Federal Civilian Executive Branch Information Technology Systems and Procurements
The Department of Homeland Security is publishing notice of the Secretary of Homeland Security's issuance of an order (1) excluding information technology products and services developed by...
Homeland Security Department Federal Register API US Office of the Federal Register Full-text keyword matching on "artificial intelligence" returns documents that merely mention AI in passing. Requires topical filtering before display. Cite US Office of the Federal Register, "Federal Register API". https://www.federalregister.gov/developers/documentation/api/v1. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
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Division of Program Coordination, Planning, and Strategic Initiatives, Office of the Director Notice of Proposed Reorganization
The Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) in the Office of the Director (OD), National Institutes of Health (NIH) is seeking public comment regarding its...
Health and Human Services Department Federal Register API US Office of the Federal Register Full-text keyword matching on "artificial intelligence" returns documents that merely mention AI in passing. Requires topical filtering before display. Cite US Office of the Federal Register, "Federal Register API". https://www.federalregister.gov/developers/documentation/api/v1. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
- AI Governance institutes
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Request for Information (RFI) Regarding the Digitization and Modernization of the National Technical Reports Library (NTRL) and the Leveraging of Scientific, Technical and Engineering Information (STEI) Stored in the NTRL
The National Technical Information Service (NTIS) is seeking general information, feedback, suggestions, and experiential and technical insights from stakeholders to inform NTIS's goal of fully...
Commerce Department Federal Register API US Office of the Federal Register Full-text keyword matching on "artificial intelligence" returns documents that merely mention AI in passing. Requires topical filtering before display. Cite US Office of the Federal Register, "Federal Register API". https://www.federalregister.gov/developers/documentation/api/v1. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
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Solicitation of Nominations for Membership on the NOAA Science Advisory Board (SAB)
The NOAA Science Advisory Board (SAB) is the only Federal Advisory Committee with responsibility to advise the Under Secretary of Commerce for Oceans and Atmosphere on long- and short-range...
Commerce Department Federal Register API US Office of the Federal Register Full-text keyword matching on "artificial intelligence" returns documents that merely mention AI in passing. Requires topical filtering before display. Cite US Office of the Federal Register, "Federal Register API". https://www.federalregister.gov/developers/documentation/api/v1. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
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Notice of Public Meeting of the Maryland Advisory Committee to the U.S. Commission on Civil Rights
Notice is hereby given, pursuant to the provisions of the rules and regulations of the U.S. Commission on Civil Rights (Commission) and the Federal Advisory Committee Act, that the Maryland...
Civil Rights Commission Federal Register API US Office of the Federal Register Full-text keyword matching on "artificial intelligence" returns documents that merely mention AI in passing. Requires topical filtering before display. Cite US Office of the Federal Register, "Federal Register API". https://www.federalregister.gov/developers/documentation/api/v1. Retrieved 28 October 2026 via AI Safety Tracker, https://aisafetytracker.org/united-states/.
- AI Policy Federal Advisory Committee Act, regulations
Data: government feeds, filed by keyword rule
Not covered
- Depth of the law index. It holds 10 instruments for the United States and 28 for Australia, which was indexed first and in more depth, so the counts are not a comparison.
- Enterprise use of AI. The enterprise survey on AI adoption is Eurostat's and covers Europe.
- AI datacentres outside Epoch AI's hub. The AI Datacentre Index, which records sites from developers' statements, covers Australia only.
- State law beyond California, Colorado and New York. The law index holds those three states' AI statutes and no other state's.
- Electricity and water at individual US datacentres. LBNL's national estimates are on AI datacentres; no indexed source publishes figures per site.