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.

Watch now for a Capitol Hill event covering an in-depth survey by ITIF’s Center for Data Innovation and Public First about what of Americans thinks about AI, how these views have shifted over the past year, and the implications of these beliefs for businesses, policymakers, and society at large.

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.

The AI Action Plan signals that the United States is not only committed to pushing the boundaries of what AI can do but also ready to shape how it is built, deployed, and governed globally.

President Trump has rightly emphasized that AI should be allowed to learn like humans do, and unless the UK adopts a commonsense approach to AI training and copyright, it risks falling behind China in the global AI race.

The CMA should not regulate a nascent and rapidly evolving field like AI chatbots as an access point to search, where competition limits the potential for market power.

The Trump administration should maintain export controls where they clearly advance national security. But it should also ensure that U.S. companies can compete globally, reinvest in innovation, and remain central to the technologies that will shape the future.

Congress’ decision to reject a federal moratorium on state-level AI regulation is a missed opportunity. Without a pause, the United States continues to face a patchwork of state laws that confuses consumers, burdens businesses, and slows innovation.

In its push for digital sovereignty, the European Commission is reportedly planning to replace Microsoft Azure with the French cloud provider OVHcloud or another European alternative. But this move, while politically symbolic, would be costly. Far from enhancing security, this migration would sacrifice sound procurement and EU legal obligations in service of a hollow vision of digital nationalism.