Taking place as part of the India AI Impact Summit 2026, this discussion will connect these insights to the Summit’s broader focus on scaling real-world AI impact. It will explore how policymakers can strengthen public sector AI adoption in practice and translate AI ambition into sustained improvements in public services.

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.

Watch now for a panel discussion on how data and technology can create safer, healthier, and more productive workplaces, and the policies needed to encourage adoption while protecting workers.

Watch ITIF's Center for Data Innovation discussion on how the United States can build a durable AI alliance that creates strategic partnerships that are mutually beneficial and contains China’s growing technological influence in the Global South.

Watch now for a timely discussion by ITIF's Center for Data Innovation and Public First surrounding new polling data exploring how U.S. public sentiment toward AI is evolving. The conversation unpacks where Americans see promise or peril, how their views have shifted over the past year, and what these perspectives mean for lawmakers, business leaders, and the future of AI policy.

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.

The Internet may be forever, but regulatory frameworks should not be. Decisions made today about web crawling will help determine where the next generation of AI leadership emerges—whether in Europe, the United States, or elsewhere.

The European Commission’s proposed tweaks to the ePrivacy Directive offer only minor relief from intrusive cookie prompts, but to truly support innovation, free digital services, and Europe’s competitiveness, policymakers must fundamentally overhaul the outdated consent model.

The Center for Data Innovation recommends that the establishment and implementation of the American AI Exports Program maximizes the expansion of U.S. AI technology and reinforces American leadership globally.

The DMA’s forced interoperability undermines platform differentiation, weakens security and reliability, and ultimately leaves European consumers with degraded versions of global technologies.

The EU’s digital rulebook, often praised as global leadership, instead forces many non-EU countries into costly regulatory alignment that stifles local innovation and entrenches global digital inequality, underscoring the need for more flexible, locally tailored frameworks.

In an op-ed for The Dispatch, Daniel Castro argues that banning superintelligent AI is misguided because it’s based on speculation, would undermine U.S. innovation and security, and should be replaced with strong oversight—not restrictions on advancing knowledge.