Artificial Intelligence

Join ITIF and the Coalition for Content Provenance and Authenticity (C2PA) for a timely discussion on how content transparency can strengthen trust across the digital ecosystem.

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.

Governments are entering a critical phase in the adoption of AI. It is already contributing to everyday public sector work, and the question is no longer whether to adopt AI, but how to do so both effectively and responsibly. The Public Sector AI Adoption Index 2026 focuses on the human side of AI adoption, examining how it is experienced by public servants every day.

Matthew Kilcoyne in World Commerce Review argues that Europe’s pursuit of digital sovereignty risks fragmenting the digital economy and weakening innovation, and instead calls for coordinated, interoperable infrastructure, open data flows, and shared standards to preserve scale, efficiency, and economic growth.

Daniel Castro speaks about building global consensus on AI at a workshop hosted by Peking University.

Ahead of the 2026 AI Impact Summit in New Delhi, the Center for Data Innovation and The Dialogue are convening an official pre-summit event, sponsored by Google, in Washington, D.C., on January 20, 2026.

As of November 2025, with over 400 data centers currently under development, the construction industry is facing a shortage of roughly 439,000 workers.

The Grok bikini controversy highlights real harms from AI misuse, but it also shows that the right response is enforcing existing laws, holding bad actors accountable, and pursuing tech-neutral, proportionate policies—rather than rushing into broad, AI-specific regulation that risks undermining free expression and innovation.

New York’s AI safety law claims alignment with California, but its small deviations create duplicative state requirements that fragment U.S. AI policy and increase compliance costs without improving safety.

If the year ahead in technology and innovation policy lives up to its potential, it could be a consequential one because there is a long list of important issues on the table. Herein, we offer 10 that are on top of our minds.