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 16, 2026|Blogs
Data Center Opposition Threatens Millions of Jobs and Billions in Economic Activity
Growing opposition to data centers threatens U.S. economic growth, with $260 billion in canceled investments in 2026 potentially costing more than 2 million jobs and $294 billion in economic activity. Policymakers should address local concerns without discouraging responsible data center development.
October 15, 2026|Blogs
Calibrating the Right Policy Response to the AI-Driven Memory Chip Shortage
As AI demand drives memory chip prices to more than triple in 2026, Washington should resist short-term fixes that pick who gets scarce supply or deepen reliance on Chinese producers and instead expand U.S. memory production capacity for the long term.
October 13, 2026|Blogs
Policymakers Should Reject Calls to Freeze the Evolution of Information Provision
Policymakers should reject calls to intervene after the dismissal of Chegg’s and PMC’s antitrust lawsuits over Google’s AI-generated search summaries. Protecting businesses from the effects of technological change isn’t the same as promoting competition and innovation.
October 13, 2026|Blogs
Fact of the Week: China Now Produces 57 Percent of the World’s Elite AI Talent
A recent study found that in 2025, 57 percent of the world’s top AI researchers received their undergraduate degrees in China, up from 46 percent in 2022.
October 12, 2026|Testimonies & Filings
Comments to NIST Regarding Modernizing the National Vulnerability Database in the Age of AI
NIST should modernize the NVD by expanding automation, improving coordination with CISA, and adopting more reliable product‑identification and data‑ingestion systems that support machine‑speed defense.
October 9, 2026|Blogs
Backlash to Flock Cameras Is a Trust Issue, Not a Tech Issue
At its core, the backlash against Flock has little to do with automated license plate readers. Instead, amid growing opposition to AI and federal law enforcement, Flock cameras have suffered from being in the wrong place at the wrong time.
October 8, 2026|Blogs
Techno-Doom Panics Are Wired Into Our Brains
Our brains are wired to react to uncertainty with fear before reason catches up. However, giving in to techno-doom panics is bad for humanity.
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.
