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.

Watch now for a panel discussion by ITIF's Center for Data Innovation on what the rise of agentic AI means for innovation, competition, and policy, how prepared the United States is to keep pace, and what policy shifts might be needed to ensure consumers and businesses can successfully develop and deploy AI agents.

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.

Democrats should approach data centers as they have clean-energy infrastructure: take legitimate local concerns seriously and mitigate their impacts without allowing opposition to become a blanket rejection of development. As AI drives growing demand for data centers, policymakers should balance community protections with the economic, technological, and clean-energy benefits these investments can provide.

As AI systems gain greater autonomy, policymakers should prioritize research and safeguards that make dangerous behavior harder to initiate, easier to detect, and faster to contain. Emergency shutdown capabilities can be one useful tool in that effort, but a government‑mandated kill switch is neither universally feasible nor sufficient to address the broader challenges posed by autonomous AI.

In an op-ed for National Review, President Daniel Castro argues that the United States should address specific AI risks without sacrificing the economic freedom, competition, and market-driven innovation that give America an edge over China in the global AI race.

AI presents real risks that warrant serious investment in security, testing, monitoring, and accountability, but claims that it poses an imminent existential threat lack a clear empirical basis. Rather than slowing AI development, policymakers should focus on evidence-based safeguards that make increasingly capable AI systems safer and more reliable.

Data centers can deliver substantial tax revenue, jobs, infrastructure investment, and lower utility costs when communities adopt policies that capture their benefits while managing local impacts.

The United States will not realize the full benefits of AI if policymakers treat it primarily as a technology that needs to be constrained.