We call it AI Economic Preparedness.

Every nation will eventually need a plan for how AI reshapes its economy — its jobs, its tax base, its social contract. Almost none has one yet. Windfall Trust exists to close that gap, before the choices get made without us.

We bring together the policymakers, economists, and researchers who are choosing to prepare — testing assumptions in scenario workshops, mapping the tools already available, and measuring gaps in readiness.

Unlike academic centres, we go beyond analysis. Unlike advocacy groups, we go beyond rhetoric. And unlike governments, we are free to explore bold, long-range policy ideas unconstrained by election cycles or legacy structures. Windfall is not a think tank. We are a policy accelerator for the age of Artificial Intelligence.

Since our founding in 2025, Windfall Trust has grown to a team of 15 researchers, economists, and policy specialists, working alongside an advisory board that includes Erik Brynjolfsson, Ajay Agrawal, Daniel Susskind, and Anton Korinek, named to TIME's 2025 TIME100 AI list. Our Policy Atlas now catalogs over 40 policy options for governments preparing for AI's economic impact, and our Global Dialogues research has captured what people across 60 countries want from the AI economy. We've run scenario-planning workshops in cities around the world, and we partner with organizations including the Brookings Institute, Partnership on AI, the Peterson Institute for International Economics, Stanford Digital Economy Lab and University of Notre Dame. In 2026, we were named one of fourteen organizations awarded a policy grant by OpenAI to develop new policy approaches for AI's economic and societal effects. Our work has been covered by the Wall Street Journal, TIME, Bloomberg, Foreign Policy, and the Financial Times.

Windfall Trust is an independent 501(c)(3) nonprofit. Our funders have no editorial control over our research, findings or policy recommendations, and do not review or approve our publications before release.

They do not participate in decisions regarding the hiring, supervision, evaluation, or compensation of our staff.

We approach this work through three interconnected pillars:

Inspire

We’re here to spark and amplify a global conversation about the economic impact of transformative AI — ensuring widespread understanding of possible futures and the immediate need for action.

Unite

We’re bringing together diverse stakeholders — including tech labs, economists, policymakers and international organisations — to build global commitment to a future where no one is left behind.

Build

Together, we will conduct research and design fair, transparent global frameworks that ensure the immense wealth generated by transformative AI is fairly distributed.

Our values

Shared prosperity

We are dedicated to creating a world where the economic windfall generated by transformative AI is shared equitably. Our work is guided by the principle that global wealth redistribution is essential for a fair and sustainable future.

Inclusive advancement

We’re committed to ensuring that technological progress uplifts humanity. By prioritizing ethical innovation, we strive to complement human potential, address systemic inequalities, and build resilience for all.

Global perspective

We recognise that the economic consequences of transformative AI will be felt across the globe. We’re working to ensure that low- and middle-income nations have a voice in AI governance and access to its economic benefits.

Ethical leadership

We take decisive and forward-thinking action, holding ourselves accountable to the highest standards of integrity. Our work is driven by a commitment to inspire trust and lead with responsibility in a rapidly evolving AI landscape.

Collective action

We believe in the power of bringing people together to achieve transformative change. By building a global coalition of stakeholders, we aim to inspire and mobilize collaboration for shared prosperity.

Independence

We're committed to ensuring that our conclusions are shaped by evidence. By holding that standard regardless of relationship, interest, or expectation, we aim to produce work the field can rely on.