Artificial Intelligence
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As every sector of the global economy and nearly every facet of modern society undergo digital transformation, ITIF advocates for policies that spur not just the development of IT innovations, but more importantly their adoption and use throughout the economy. In the area of artificial intelligence, ITIF studies issues related to competitiveness, governance, ethics, development, and adoption.
Featured
Picking the Right Policy Solutions for AI Concerns
Some concerns are legitimate, but others are not. Some require immediate regulatory responses, but many do not. And a few require regulations addressing AI specifically, but most do not.
Ten Principles for Regulation That Does Not Harm AI Innovation
Concerns about artificial intelligence have prompted policymakers to propose a variety of laws and regulations to create “responsible AI.” Unfortunately, many proposals would likely harm AI innovation because few have considered what “responsible regulation of AI” entails.
US AI Policy Report Card
The 117th Congress was the most AI-focused congressional session in history with 130 AI bills proposed, so it is a good moment to take stock of U.S. AI policy accomplishments to date and identify areas where there is room for continued progress.
More Publications and Events
October 5, 2026|Blogs
Fact of the Week: AI Infrastructure Could Draw $10.3 Trillion in U.S. Investment Through 2032
The United States could pour an estimated $10.3 trillion into the infrastructure needed to support artificial intelligence between 2025 and 2032.
October 2, 2026|Blogs
Developing Safety Standards Is Not Inherently Anticompetitive
Developing common AI safety standards does not, by itself, undermine competition. Policymakers should not force companies to choose between competing vigorously and working together to prevent serious safety risks. Antitrust law should allow both.
September 30, 2026|Blogs
Europe Should Double Down on Its Open-Source AI Bet
Europe cannot match the United States and China in closed AI models, but it has an opportunity to lead in open models. The EU should remove regulatory and procurement barriers and foster a global open-model ecosystem.
September 30, 2026|Presentations
The 2026 STEPI Intelligence Dialogue: Intelligence Beyond Information, Signal Beyond Noise
Daniel Castro speaks about the potential of improving science and technology policy through the use of AI and predictive analytics on the "Intelligence beyond Information, Signal beyond Noise: EWS Detecting Emerging Security" panel at the 2026 Intelligence Dialogue in Seoul, South Korea, hosted by the Science and Technology Policy Institute (STEPI).
September 29, 2026|Blogs
Democrats Should Treat Data Centers Like Clean Energy
Democrats should approach data centers as they have clean-energy infrastructure: take legitimate local concerns seriously and mitigate their impacts without allowing opposition to become a blanket rejection of development. As AI drives growing demand for data centers, policymakers should balance community protections with the economic, technological, and clean-energy benefits these investments can provide.
September 22, 2026|Blogs
The EU AI Act’s Costs to American Innovation
The EU AI Act disproportionately burdens U.S. AI firms with compliance costs and potential fines that could weaken U.S. competitiveness with China. Europe should simplify its regulatory framework and deepen cooperation with Washington to support innovation and economic growth on both sides of the Atlantic.
September 18, 2026|Blogs
AI Kill Switches Won’t Solve the Rogue AI Problem
As AI systems gain greater autonomy, policymakers should prioritize research and safeguards that make dangerous behavior harder to initiate, easier to detect, and faster to contain. Emergency shutdown capabilities can be one useful tool in that effort, but a government‑mandated kill switch is neither universally feasible nor sufficient to address the broader challenges posed by autonomous AI.
September 18, 2026|Blogs
AI Triumphalists Complain About the Fear They Induce
If AI’s supposed “champions” don’t want people to be afraid, they should stop selling fear.
September 17, 2026|Op-Eds & Contributed Articles
Don’t Sacrifice American Capitalism to AI Anxiety
In an op-ed for National Review, President Daniel Castro argues that the United States should address specific AI risks without sacrificing the economic freedom, competition, and market-driven innovation that give America an edge over China in the global AI race.
September 16, 2026|Blogs
The Case for Safer AI Without Slowing Progress
AI presents real risks that warrant serious investment in security, testing, monitoring, and accountability, but claims that it poses an imminent existential threat lack a clear empirical basis. Rather than slowing AI development, policymakers should focus on evidence-based safeguards that make increasingly capable AI systems safer and more reliable.
