Artificial Intelligence Resources for Congressional Policymakers

Research

Sep 3, 2026

Buying Time Against AI Proliferation: The Economics of Governed Access

The author describes a formal model of artificial intelligence (AI) adoption and proliferation that focuses on the demand for AI capability.

Tobias Sytsma
Research

Sep 2, 2026

Operational reliance on AI in supply chains and emerging insurance risks

Artificial intelligence (AI) is becoming embedded in supply chains. This report examines how that changes operational reliance, resilience, and insurance risk across logistics, transport, and warehousing.

Elie Alhajjar, Youmna Hashem, Alec Ross, Sasha Romanosky
Research

Aug 25, 2026

Achieving AI Model Weight Security Level 3 (SL3)

RAND proposes Security Level 3 (SL3), a framework of 262 security controls to protect artificial intelligence (AI) model weights against organized cybercrime and insider threats, achievable within six to 12 months.

Jair Aguirre, Phillip Robertson, Steven F. Comer, Matthew J. Malone, Wesley Hurd
Research

Aug 25, 2026

Federal Revenue When AI Replaces Labor: An Examination of Economic Scenarios with Highly Capable Artificial Intelligence

Artificial intelligence (AI) replacing human labor could sharply reduce U.S. federal revenue, especially if workers are not reemployed or AI is cheap. Proactive fiscal policy is needed to manage these risks.

Carter C. Price, Akshaya Suresh
Research

Aug 24, 2026

Leveraging the Federal Select Agent Program to Oversee Nucleic Acids: Volume 2, Potential Benefits and Burdens, Recommendations, and Implementation Considerations

The increasing availability of synthetic genetic materials poses public health risks that may warrant regulation, but in deciding how to do so, it is also necessary to weigh the burdens on industry and the research community.

Matt Sharkey, Anna Jean Wirth, John P. Tarangelo, Gerald L. Epstein
Research

Aug 24, 2026

Leveraging the Federal Select Agent Program to Oversee Nucleic Acids: Volume 1, Analysis of Opportunities to Control Genomes, Genes, and Gene Fragments Through the Federal Select Agent Program’s Authorities

The increasing availability of synthetic genetic materials may pose public health risks that may warrant regulation to ensure that certain materials are accessible only to researchers who will use them responsibly.

Matt Sharkey, Anna Jean Wirth, John P. Tarangelo, Derek Roberts, Gerald L. Epstein, James M. Anderson
Research

Aug 18, 2026

Building a Defense-in-Depth Biosecurity Strategy for the AI Era

The authors develop a layered mitigation strategy for responding to the threat of misusing artificial intelligence–enabled biology. They examine mitigations’ strengths and weaknesses, describe areas of mutual reinforcement, and propose next steps.

Steph Guerra, Aurelia Attal-Juncqua, John P. Tarangelo, Casey Aveggio, Katie Dammer, David Glickstein
Research

Aug 17, 2026

AI Development in the United States and China: Evidence from a New Dataset of AI Developer Firms

The authors sought to systematically characterize commercial artificial intelligence ecosystems within the United States and China and thus broaden the empirical foundation for business intelligence and policy analysis.

Jon Schmid, Prateek Puri, Vitor Melo, Anthony Hakim
Research Summary

Aug 11, 2026

Assessing the Energy Potential of Artificial Intelligence Data Center Sites: A Framework for Comparing Site Suitability

This brief describes a framework designed to assess possible data center sites for their energy potential. The framework is intended to serve as an energy-potential screening tool for planners, policymakers, and developers.

Ismael Arciniegas Rueda, Austin Smidt, Robin Wang, Hye Min Park, David Gill, Henri van Soest
Research

Aug 11, 2026

Testing Large Language Model Agents on the Use of Biological Tools for Nucleic Acid Synthesis Screening Evasion

Large language model agents demonstrate an emerging ability to use biological tools to redesign peptides and proteins for nucleic acid synthesis screening evasion, indicating that agents could lower expertise barriers for hazardous capabilities.

Jeffrey Lee, Alyssa Worland, Christopher Rodriguez, Kyle Brady, Grant Ellison, Henry Alexander Bradley, Dawid Maciorowski, Jordan Despanie, Barbara Del Castello, Jason Johnson, Steph Guerra
Research

Aug 6, 2026

China's Retirement Reform and the 2035 Statutory Working-Age Window: Buying Time amid Demographic Decline and AI-Driven Change

Using a monthly birth-cohort simulation, the author estimates that China’s 2025 retirement reform keeps about 48 million additional people below statutory retirement ages in 2035, delaying the working-age decline without reversing population aging.

Sichen Shawn Chao
Research

Aug 6, 2026

Interpreting Dual-Use Biology Benchmarks for Frontier AI: Measurement, Saturation, and Generational Analysis

The authors find that many artificial intelligence (AI) benchmark tasks are no longer informative, but a frontier of difficult tasks remains so, with recent gains concentrated on difficult tasks theorized to be relevant to real-world risk.

Grant Ellison, Jeffrey Lee, Barbara Del Castello, Sunishchal Dev, Kyle Brady

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Artificial Intelligence

Contact Information

Recent Findings

Building a Biosecurity Strategy for the AI Era

How to Create Highly Secure Data Centers

High Bandwidth Memory: What It Is and Why It Matters

Error

Buying Time Against AI Proliferation: The Economics of Governed Access

Operational reliance on AI in supply chains and emerging insurance risks

Achieving AI Model Weight Security Level 3 (SL3)

Federal Revenue When AI Replaces Labor: An Examination of Economic Scenarios with Highly Capable Artificial Intelligence

Leveraging the Federal Select Agent Program to Oversee Nucleic Acids: Volume 2, Potential Benefits and Burdens, Recommendations, and Implementation Considerations

Leveraging the Federal Select Agent Program to Oversee Nucleic Acids: Volume 1, Analysis of Opportunities to Control Genomes, Genes, and Gene Fragments Through the Federal Select Agent Program’s Authorities

Building a Defense-in-Depth Biosecurity Strategy for the AI Era

AI Development in the United States and China: Evidence from a New Dataset of AI Developer Firms

Assessing the Energy Potential of Artificial Intelligence Data Center Sites: A Framework for Comparing Site Suitability

Testing Large Language Model Agents on the Use of Biological Tools for Nucleic Acid Synthesis Screening Evasion

China's Retirement Reform and the 2035 Statutory Working-Age Window: Buying Time amid Demographic Decline and AI-Driven Change

Interpreting Dual-Use Biology Benchmarks for Frontier AI: Measurement, Saturation, and Generational Analysis

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Artificial Intelligence

Contact Information

Recent Findings

Building a Biosecurity Strategy for the AI Era

How to Create Highly Secure Data Centers

High Bandwidth Memory: What It Is and Why It Matters

Related Briefs, Reports, and Testimonies

Error

Buying Time Against AI Proliferation: The Economics of Governed Access

Operational reliance on AI in supply chains and emerging insurance risks

Achieving AI Model Weight Security Level 3 (SL3)

Federal Revenue When AI Replaces Labor: An Examination of Economic Scenarios with Highly Capable Artificial Intelligence

Leveraging the Federal Select Agent Program to Oversee Nucleic Acids: Volume 2, Potential Benefits and Burdens, Recommendations, and Implementation Considerations

Leveraging the Federal Select Agent Program to Oversee Nucleic Acids: Volume 1, Analysis of Opportunities to Control Genomes, Genes, and Gene Fragments Through the Federal Select Agent Program’s Authorities

Building a Defense-in-Depth Biosecurity Strategy for the AI Era

AI Development in the United States and China: Evidence from a New Dataset of AI Developer Firms

Assessing the Energy Potential of Artificial Intelligence Data Center Sites: A Framework for Comparing Site Suitability

Testing Large Language Model Agents on the Use of Biological Tools for Nucleic Acid Synthesis Screening Evasion

China's Retirement Reform and the 2035 Statutory Working-Age Window: Buying Time amid Demographic Decline and AI-Driven Change

Interpreting Dual-Use Biology Benchmarks for Frontier AI: Measurement, Saturation, and Generational Analysis

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