Philanthropically Supported Research

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Philanthropic contributions support our ability to take the long view, tackle tough and often-controversial topics, and share our findings in innovative and compelling ways. RAND's research findings and recommendations are based on data and evidence, and therefore do not necessarily reflect the policy preferences or interests of its clients, donors, or supporters.

Featured Research

694 Results

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Jul 7, 2026

The Strategist's Dilemma: Agent-Neutral and Agent-Relative Reasons in U.S. AI Strategy

Advanced artificial intelligence (AI) creates a strategist’s dilemma: U.S. leaders owe duties to their citizens and face obligations to prevent catastrophic harm to anyone. The author argues that both kinds of reasons should shape U.S. AI strategy.

Beba Cibralic
Jul 7, 2026

The Transatlantic Artificial Intelligence Calculus: U.S.–European Union and Member State AI Cooperation in an Era of Strategic Competition

This report provides a strategic framework for assessing the conditional value of artificial intelligence partnerships across different technological futures and presents options for transatlantic cooperation that advance U.S. strategic interests.

Marzia Giambertoni
Jul 6, 2026

Winning the AI Pentathlon Requires Endurance: The Case for Resilience and Risk Management as Core Elements of Competitive National AI Strategy

Global artificial intelligence (AI) competition is not just a sprint to develop advanced AI but also a marathon to accumulate its net benefits. Resilience is a strategic advantage as AI integration likely will involve persistent disruption.

Brian A. Jackson
Jun 24, 2026

Looking Beyond the Government’s Regulatory Toolkit: Early Findings on How Business and Civil Society Actors Can Help Manage and Mitigate Transformative Artificial Intelligence Risks and Impacts

Transformative artificial intelligence presents safety and societal risks and has prospective benefits. The authors develop a structured framework for how industry and civil society can help manage and mitigate those risks.

Beba Cibralic, Joel B. Predd, Richard S. Girven
May 4, 2026

Contingency Frameworks for Future U.S.-China Cooperation on AI Assurance and Security: Preserving Strategic Optionality

The author aims to inform artificial intelligence contingency planning under the premise that preserving strategic optionality for future U.S.-China engagement serves U.S. interests. He proposes five potential lines of effort for doing so.

Jared Mondschein
May 4, 2026

Open-Weight AI Models Require Proportional Evaluation Approaches

Open-weight AI models (OWMs) introduce distinct risk factors for which existing evaluation practices, largely designed for closed-weight model deployment, fail to account. The authors propose proportional evaluation approaches for OWMs.

Patricia Paskov, Christopher Rodriguez, Sunishchal Dev, Stephen Casper
Apr 30, 2026

Multi-Ecosystem Competition in Artificial Intelligence Adoption and Diffusion

The author provides a theoretical framework for understanding artificial intelligence (AI) diffusion dynamics in the presence of competing technologies with heterogeneous value propositions.

Jessie Wang
Apr 29, 2026

Exploring Instability Risks in the U.S.-China AI Rivalry: Breakwater Game Overview and Initial Observations

This paper presents an overview and observations on Breakwater, a game that explores instability risks in the U.S.-China rivalry and race to artificial general intelligence.

Abby Doll, Karl P. Mueller
Apr 27, 2026

Integrating Forecasting with Gaming: Building an Analytic Framework for Decision Advantage

This paper summarizes how integrating forecasting methodologies with gaming and other scenario-based analytic games can strengthen decisionmaking, learning, and strategic assessment within U.S. defense and related organizations.

David Stebbins, Gregory Smith, Richard S. Girven
Apr 27, 2026

Agricultural Security Considerations for the U.S. Corn Belt: Reviewing Key Threats and Mitigation Strategies for Bioresiliency

The authors examine key threat categories to the agricultural industries of the U.S. Corn Belt and identify proactive and integrated approaches to safeguarding U.S. crop production against emerging biological, environmental, and societal risks.

Tyler Hoard, Adeline E. Williams, David Luckey
Apr 27, 2026

The AGI Rideout Strategy for Reducing Strategic Risk and Promoting Stability in the Transition to Artificial General Intelligence

The authors describe an artificial general intelligence (AGI) Rideout strategy to avoid geopolitical risks in the race toward and transition to AGI. The strategy prioritizes deterring conflicts and increasing U.S. tech infrastructure resilience.

David R. Frelinger, Karl P. Mueller
Apr 24, 2026

When Economic Security Meets Economic Statecraft: Principles for a New Era

Economic security policy and economic statecraft—once parallel domains—are now colliding. The authors trace this collision through five phases of U.S. policy since 2001 and propose four principles to guide policymakers in this new era.

Rachel Lyngaas, Howard J. Shatz, Isabella Whitney, Jung-Ju Lee

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Philanthropically Supported Research

Featured Research

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The Strategist's Dilemma: Agent-Neutral and Agent-Relative Reasons in U.S. AI Strategy

The Transatlantic Artificial Intelligence Calculus: U.S.–European Union and Member State AI Cooperation in an Era of Strategic Competition

Winning the AI Pentathlon Requires Endurance: The Case for Resilience and Risk Management as Core Elements of Competitive National AI Strategy

Looking Beyond the Government’s Regulatory Toolkit: Early Findings on How Business and Civil Society Actors Can Help Manage and Mitigate Transformative Artificial Intelligence Risks and Impacts

Contingency Frameworks for Future U.S.-China Cooperation on AI Assurance and Security: Preserving Strategic Optionality

Open-Weight AI Models Require Proportional Evaluation Approaches

Multi-Ecosystem Competition in Artificial Intelligence Adoption and Diffusion

Exploring Instability Risks in the U.S.-China AI Rivalry: Breakwater Game Overview and Initial Observations

Integrating Forecasting with Gaming: Building an Analytic Framework for Decision Advantage

Agricultural Security Considerations for the U.S. Corn Belt: Reviewing Key Threats and Mitigation Strategies for Bioresiliency

The AGI Rideout Strategy for Reducing Strategic Risk and Promoting Stability in the Transition to Artificial General Intelligence

When Economic Security Meets Economic Statecraft: Principles for a New Era

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Philanthropically Supported Research

Featured Research

Error

The Strategist's Dilemma: Agent-Neutral and Agent-Relative Reasons in U.S. AI Strategy

The Transatlantic Artificial Intelligence Calculus: U.S.–European Union and Member State AI Cooperation in an Era of Strategic Competition

Winning the AI Pentathlon Requires Endurance: The Case for Resilience and Risk Management as Core Elements of Competitive National AI Strategy

Looking Beyond the Government’s Regulatory Toolkit: Early Findings on How Business and Civil Society Actors Can Help Manage and Mitigate Transformative Artificial Intelligence Risks and Impacts

Contingency Frameworks for Future U.S.-China Cooperation on AI Assurance and Security: Preserving Strategic Optionality

Open-Weight AI Models Require Proportional Evaluation Approaches

Multi-Ecosystem Competition in Artificial Intelligence Adoption and Diffusion

Exploring Instability Risks in the U.S.-China AI Rivalry: Breakwater Game Overview and Initial Observations

Integrating Forecasting with Gaming: Building an Analytic Framework for Decision Advantage

Agricultural Security Considerations for the U.S. Corn Belt: Reviewing Key Threats and Mitigation Strategies for Bioresiliency

The AGI Rideout Strategy for Reducing Strategic Risk and Promoting Stability in the Transition to Artificial General Intelligence

When Economic Security Meets Economic Statecraft: Principles for a New Era

Oops! An unexpected error has occurred.