As AI agents begin to conduct economic work and transact with each other, they will create an "agentic economy." Our current financial system is ill-equipped for this future, lacking the ability to handle the billions of instant, global, and micro-scale transactions that will become commonplace.

The scale of potential AI-driven economic disruption is forcing previously unthinkable policies into serious consideration. Ideas like the U.S. government taking ownership stakes in frontier AI firms to create a sovereign wealth fund have moved from anathema to plausible, indicating a rapid shift in the policy landscape.

Powerful AI models pose a systemic risk to the global economy. To manage this, the world needs a technocratic body like the Financial Stability Board to identify and respond to AI threats independently from geopolitics.

The IMF projects AI will impact 60% of jobs in rich countries but only 26% in poor ones. This disparity signals that developing nations lack the infrastructure to leverage AI for productivity gains, risking a significant widening of the economic gap between advanced and emerging economies.

Debates about AI and inequality often assume today's financial institutions will persist. However, in a fast takeoff scenario with superintelligence, concepts like property rights and stock certificates might become meaningless as new, unimaginable economic and political systems emerge.

For developing countries, the most effective strategy to benefit from AGI is not job retraining, but financial investment. Creating sovereign wealth funds or subsidy programs to "index" the global sources of AI wealth (models, hardware, etc.) is a more robust path than trying to compete on domestic labor.

The discussion around AI labs donating equity to a sovereign wealth fund is being framed by investors like Altimeter Capital's Brad Gertzner as a necessary "anti-revolutionary tax." The rationale is not just wealth sharing, but proactively preventing social destabilization from massive AI-driven value creation.

The utopian vision of AI-driven abundance is shadowed by the practical reality of wealth concentration. A key challenge for society will be developing mechanisms to redistribute the immense value generated by AI so its benefits are shared broadly.

A U.S.-only sovereign wealth fund from AI company profits might address domestic inequality but would exacerbate global disparities. By concentrating massive AI-generated wealth within an already rich nation, such a policy raises significant ethical questions about global economic justice.