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Artificial Intelligence

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.

Daniel Castro
Daniel Castro

President

Information Technology and Innovation Foundation

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Matthew Kilcoyne
Matthew Kilcoyne

Policy Analyst

Center for Data Innovation

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Featured

Picking the Right Policy Solutions for AI Concerns

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

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

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

April 26, 2026|Blogs

Japan’s Draft AI IP Code Misses the Mark, Undermining US Alignment

Japan should revise its draft AI IP code to remove technically infeasible disclosure mandates and instead adopt workable, pro-innovation transparency standards aligned with international efforts like the Hiroshima AI Process to preserve U.S. alignment and avoid deterring AI investment.

April 20, 2026|Blogs

Congress Should Support Innovation in Freight Rail, Not Stand in Its Way

The U.S. government needs to do what many nations around the world are already doing by leaning into rail technologies such as positive track control and automated track inspection, not resisting them on behalf of special interests.

April 17, 2026|Blogs

Federal Government Should Partner With Frontier AI Labs on Cybersecurity Defense

While the U.S. has focused on securing AI systems themselves, it must urgently shift toward using AI defensively—through coordinated government, industry, and infrastructure efforts—to counter the growing threat of AI-powered cyberattacks on existing systems.

April 16, 2026|Blogs

No, AI Will Not Skyrocket Income Inequality

AI is supposedly going to make America’s current level of income inequality explode. That will not happen. The idea rests on far-fetched assumptions about monopolies, mass job loss, and winner-take-all dynamics that AI won’t change.

April 16, 2026|Testimonies & Filings

Comments to the House Oversight Committee Regarding Artificial Intelligence and American Power

AI is a general-purpose technology with tremendous promise. But U.S. AI leadership and adoption is by no means assured, because there is intense international competition.

April 15, 2026|Presentations

Reimagining Multilateralism for the Future

Daniel Castro speaks about the impact of AI on global trade at an event hosted by the Washington College of Law at American University.

April 15, 2026|Reports & Briefings

The Promise of Wearable AI: Opportunities Across Emergency Response

Wearable AI improves safety and outcomes for both first responders and the public they serve. Broader adoption of wearable AI for the emergency services industry will protect the health of first responders, improve emergency response, and create safer communities.

April 14, 2026|Podcasts

Creative Discussion Podcast: From the 2026 Antitrust Spring Meeting, Jonathan Barnett on How Competition Enforcers Are Undermining Competition

Joseph V. Coniglio joins guest Jonathan Barnett, Torrey H. Webb Professor of Law at the USC Gould School of Law, at the 2026 Antitrust Spring Meeting. They discuss Barnett’s new ITIF report, Europe’s innovation gap, and China’s mercantilist use of competition law.

April 7, 2026|Blogs

Four Reasons New AI Data Centers Won’t Overwhelm the Electricity Grid

“Emergency” legislation like the Sanders-Ocasio-Cortez AI Data Center Moratorium Act is not necessary to protect Americans from rate increases. Concerns about energy and data centers are misplaced, and there are plenty of options to ensure a smooth path to growth.

April 6, 2026|Reports & Briefings

Five Concerns About AI Data Centers, and What to Do About Them

If the policy framework is right, AI infrastructure can strengthen the electricity grid rather than strain it, stabilize prices rather than inflate them, and transform heat and flexible demand into system assets.

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