Join ITIF's Center for Data Innovation for a timely 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.

Watch now for the Center for Data Innovation's discussion on the potential consequences of the UK government’s proposed option and how creating a more permissive text and data mining exception would advance the UK’s goals of being competitive in AI without undermining the rights of creators.

Watch now for a timely discussion by The Center for Data Innovation and The Asia Group on how AI governance is unfolding globally, the key tensions shaping global regulations, and what these developments mean in the United States, the Indo-Pacific, and beyond.

Lawmakers in Montana, New Hampshire, and Idaho are advancing “right to compute” laws to protect individuals and businesses from limits on their ability to use computational tools and AI systems.

The idea that nations can invoke “AI sovereignty” to draw on U.S. technology when convenient, while walling off their markets, is not a bargain U.S. policymakers should entertain.

Without federal preemption on AI regulations, states are rushing to impose audits, transparency mandates, and sector-specific obligations—often with overlapping or conflicting rules that extend beyond state borders.

Europe’s pursuit of digital sovereignty rests on a flawed premise: that competing with the United States, rather than China, should be the central priority. To advance this goal, Brussels has embraced the so-called “Airbus model”—the belief that the government-led coordination that created an aerospace champion can be replicated to achieve dominance in semiconductors, cloud computing, and artificial intelligence (AI). The idea is seductive and gaining traction, but the analogy is unproven and misguided.

The United States plans to win the AI race by “exporting its full AI technology stack—hardware, models, software, applications, and standards—to all countries willing to join America’s AI alliance.” To succeed, it will need to pursue the right partners, make offers that meet their ambitions, and resist the urge to lead with virtue over value.

As artificial intelligence upends the creative landscape, history offers a clear lesson: fighting change only delays progress, but those who adapt to it thrive. Creators must do the same with AI.

Philadelphia’s recent trash crisis highlights the need for a smarter approach to city services—one that uses low-cost AI tools to improve sanitation, reduce costs, and free up resources to better support the city’s workers.