Earlier this year, our January wave of AI thought leadership research found policy professionals in the U.S. and Europe in agreement: AI needed more government regulation, and the window for action was closing. We called it the tipping point.
In the months since, AI regulation has become one of the defining policy conversations of 2026. In the U.S., in particular, different branches of the government are sharply divided on the appropriate response. Although the White House staked out a lighter-touch posture at home and abroad, various bipartisan bills were debated in Congress. Calls for legislation rose to a fever pitch in September when Anthropic CEO Dario Amodei urged industry leaders and legislators to pace frontier model development — a call echoed by OpenAI's Sam Altman and xAI's Elon Musk.
When we returned to the field in September, we found AI optimism in decline and an intensified appetite for regulation among policy professionals on both sides of the Atlantic. Concern has heightened alongside the calls for regulation, with specific targets — from misinformation to existential risk — coming into sharper focus.
Although policy professionals are at the forefront in the U.S., everyday Americans are right behind them. Most Americans agree that AI needs more regulation, especially around how businesses and children & youth use AI, and believe that AI poses an existential risk to humanity. With this consensus between policy elites and the electorate, the push for AI regulation is unlikely to quiet any time soon.
Keep scrolling to read the key findings from this wave of our AI research.