Artificial Intelligence
Artificial Intelligence
RAND studies the potential opportunities and risks of artificial intelligence, including ways to strengthen the AI workforce, countering AI-driven social media manipulation by U.S. adversaries, AI governance and how to make future AI systems safer, potential military applications of AI, how AI is being used in the classroom, and identifying occupations at risk of being replaced by AI.
Related Topics
Explore RAND’s Work on this Topic
Error
-
Event
Nov 20, 2025
Policy Lab: The Geopolitics of AGI
RAND's Jim Mitre and Joel Predd discuss how advanced AI, including artificial general intelligence, might reshape global politics and security.
-
Research
Oct 22, 2025
Infinite Potential—Insights from the Robot Insurgency Scenario: After-Action Report from a Sequence of Day After Artificial General Intelligence Exercises
This report summarizes the results of four runs of the Robot Insurgency scenario, an exercise conducted to understand how the United States should respond to and prepare for potential artificial intelligence developments.
-
Expert Insights
Oct 21, 2025
The Republic of Korea Is a Key Partner for the United States in Artificial Intelligence Competition with China
This paper provides an overview of how to enhance U.S. competitiveness vis-à-vis China through expanded cooperation on artificial intelligence with the Republic of Korea.
-
Expert Insights
Oct 20, 2025
Insights from the Development and Play of Tsunami
This paper describes the game Tsunami, which explores the impact of the development and deployment of artificial general intelligence on state-state relationships and geopolitics and provides insights on national leaders’ decisionmaking.
-
Research
Oct 15, 2025
Majority of Americans See U.S. Leadership in AI as Crucial, Survey Finds
In this brief report, RAND researchers summarize newly released survey results that suggest that Americans care strongly about the United States maintaining its competitive edge over China in the race to develop artificial intelligence.
-
Commentary
Oct 14, 2025
Your New Teammate Is a Machine. Are You Ready?
Integrating AI as a teammate in our work is inevitable, but ensuring success and safety requires proactive leadership. Leaders who establish clear accountability, invest in comprehensive training, and prioritize fairness will thrive. Those who treat AI as just another tool will face the consequences.
-
Expert Insights
Oct 14, 2025
Pivots and Pathways on the Road to Artificial General Intelligence Futures
The authors of this paper introduce a framework for policy discussions about artificial general intelligence (AGI), showing how six key dimensions can be used to classify and compare different combinations of factors and potential AGI futures.
-
Research
Oct 14, 2025
Infinite Potential—Insights from the Two Moonshots Scenario: After-Action Report from a Sequence of Day After Artificial General Intelligence Exercises
To understand how the United States should prepare for national security risks from artificial intelligence, the RAND Geopolitics of AGI Initiative is conducting Day After AGI exercises. This report summarizes six runs of the Two Moonshots scenario.
-
Expert Insights
Oct 13, 2025
Can Humans Devise Practical Safeguards That Are Reliable Against an Artificial Superintelligent Agent?
Can humans design practical safeguards to protect our critical and digital infrastructure against attacks from a future artificial superintelligence? In this paper, the authors argue that such safeguards are both feasible and sensible.
-
Expert Insights
Oct 13, 2025
The Case for AI Loss of Control Response Planning and an Outline to Get Started
The authors present the case for a national plan for responding to loss of control (LOC) incidents in which artificial intelligence systems operate outside human control, and they propose criteria and a structure for LOC response planning.
-
Research
Oct 13, 2025
Expanding U.S. Net Available Power Capacity by 2030: Barriers and Solutions
The growth of U.S. data centers is straining the power grid. Researchers identified barriers to expanding capacity, assessed which can be overcome by 2030, and offer policy recommendations with estimates of potential capacity gains.
-
Research
Oct 8, 2025
Quantifying AI’s Economic Potential: Growth Differentials Between Assistive and Autonomous Development Scenarios
The author models the economic implications of two scenarios for artificial intelligence (AI) development: restricting AI to assistive tools for human productivity or enabling AI agents that can autonomously perform tasks and self-replicate.