WP Intelligence Convenes AI Policy Power Players as Federal and State Agendas Collide
The ground under AI is shifting faster than anyone wants to admit, and the real volatility is not in the models but in who gets to govern them. Founders are shipping faster than lawmakers can read commit logs, and somewhere between a prompt and a product, 50 states decided they are not waiting for permission. What used to be a technical race is now a jurisdictional one, and the startup ecosystem is caught in the middle, balancing speed against a rulebook that is still being written in public.
That tension sharpens on May 1, 2026, when WP Intelligence convenes “The Struggle to Regulate AI: Navigating the Washington Battleground” at 11:00 AM to 12:00 PM EDT. The White House is pushing a light touch federal framework while attempting to block state level regulation to avoid a fragmented compliance landscape. Congress is not aligned. Democrats and a bloc of Senate Republicans are pressing for liability frameworks, intellectual property protections, model testing mandates, and workforce impact studies. At the same time, major tech companies are shaping the edges of the debate while super PACs deploy tens of millions ahead of midterm elections, turning policy into a capital-weighted influence game that the startup ecosystem cannot ignore.
The room may be virtual, but the proximity to power is real. WP Intelligence has built a format that compresses the distance between policy formation and operator consequence. This is not passive consumption. The questions asked in this session mirror the ones being debated in boardrooms, investment committees, and product strategy meetings. What are the latest moves across Congress, the White House, and the tech sector. How are political incentives shifting as November approaches. What role does public polling actually play, and how much influence do well-funded campaigns exert on outcomes that will define how companies build.
Luiza Savage moderates with precision, drawing out signal rather than soundbites. Benjamin Guggenheim brings proximity to congressional mechanics, translating legislative motion before it becomes headline. Dean Ball, former Senior Policy Advisor for Artificial Intelligence at the White House Office of Science and Technology Policy, offers the structural logic behind federal strategy, now viewed from his role at the Foundation for American Innovation. Rebecca Adams anchors the conversation in applied reality, mapping how regulatory decisions translate into consequences inside healthcare systems where AI is already operational.
What separates this briefing is not access, it is convergence. Policy, capital, and execution are no longer separate conversations. They are one continuous feedback loop, and the startup ecosystem is increasingly judged on how well it navigates that loop. The companies that understand where federal intent collides with state action will operate with clearer margins, stronger narratives, and fewer downstream corrections. Those that do not will find themselves reacting to rules they never saw coming.