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.

Vice President and Director, Center for Data Innovation
Information Technology and Innovation Foundation
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More Publications and Events
March 5, 2026|Events
Context Matters: Building Trust in Digital Content
Watch the Capitol Hill event, presented by ITIF and the Coalition for Content Provenance and Authenticity (C2PA), where expert panelists discussed how content transparency can strengthen trust across the digital ecosystem.
March 4, 2026|Blogs
The European Parliament Should Manage Built-In AI, Not Disable It
The European Parliament has disabled built-in AI features on corporate tablets and phones issued to MEPs and staff over concerns that data sent to cloud services by these features presented a security risk. This decision is misguided because it does not address security risks, drives AI use into the shadows, disrupts everyday productivity tools, and imposes disproportionate costs on the Parliament’s smaller delegations.
March 2, 2026|Blogs
Ghost Student Fraud Is a Digital Identity Failure
AI-enabled “ghost student” scams are siphoning millions in federal financial aid by exploiting weak, document-based identity verification systems at U.S. colleges. While the Department of Education has tightened ID checks, Congress should establish interoperable, high-assurance digital IDs to prevent fraud at scale and ensure aid reaches real students.
March 2, 2026|Blogs
Fact of the Week: 36.8 Percent of Individuals in OECD Countries Used Generative AI Tools in 2025
In 2025, more than one-third of individuals (36.8 percent) used generative AI tools such as ChatGPT or Claude.
February 26, 2026|Reports & Briefings
Survey: Most Americans Say Tech Companies Should Be Allowed to Set AI Limits
A Morning Consult survey commissioned by ITIF examines public attitudes toward AI in military operations, surveillance, and corporate responsibility surrounding the Pentagon–Anthropic dispute.
February 26, 2026|Op-Eds & Contributed Articles
Why Congress Should Step Into the Anthropic-Pentagon Dispute
In Tech Policy Press, Daniel Castro argues that a dispute between the U.S. Department of Defense and Anthropic over military AI use underscores the need for Congress—not executive pressure or private contracts—to set clear statutory guardrails for deploying AI in national defense.
February 20, 2026|Blogs
We Don’t Want Our Companies to Be Jobs Programs
We should want companies to shed workers they no longer need. Productivity gains flow to lower prices, higher wages, and long-term growth. Don’t slow innovation—accelerate it.
February 19, 2026|Blogs
Hyundai Motor’s Humanoid Robot Debate and Korea’s Real AI Challenge
While the Hyundai Motor case now sits at the center of Korea’s AI jobs debate, the evidence suggests that the nation’s more immediate constraints are weak productivity growth and uneven labor-market adjustment—not large-scale technological displacement. How Korea responds will shape its competitiveness in a high-cost, aging manufacturing economy under intensifying global competition.
February 19, 2026|Blogs
The Grid Act Is the Wrong Way to Protect Consumers from Price Spikes
The GRID Act misdiagnoses the problem of rising electricity costs by treating data centers as inherently extractive and imposing punitive requirements, rather than addressing flawed market design. A better approach is a flexibility-first model that rewards adjustable AI demand, allowing data centers to support grid stability while protecting households from price spikes.
February 13, 2026|Blogs
Event Recap: Pre-Summit Event for 2026 AI Impact Summit
The India AI Impact Summit will test whether the United States can position itself as a credible AI partner to emerging economies by advancing collaboration with India on adoption, compute equity, and governance to deliver secure, scalable, and impactful AI deployment.





