As AI models commoditize, lasting wealth will accrue to those controlling chokepoints like distribution, payment rails, and a stablecoin dollar, not to the labs

The dollar's role as a stablecoin will directly fund US government debt, affecting the cost of borrowing for all US taxpayers.

The article "The Commanding Heights" by Will Manidis and Joe Roberts posits that as AI models become commoditized, lasting economic wealth will not be generated by the AI labs themselves, but by entities controlling crucial chokepoints in the distribution and utilization of AI. These chokepoints include payment systems, and specifically, a stablecoin dollar. The authors argue that technological revolutions rarely create wealth where they originate; instead, fortunes are captured by those who manage the infrastructure through which new technologies reach the broader economy. They illustrate this by referencing historical examples like Gutenberg and the railroad industry. The piece further suggests that the United States will maintain economic dominance through its control of the dollar, which will evolve into a "Neo-Dollar" stablecoin, creating new demand and enabling the U.S. to finance its expenditures. Meanwhile, AI's diffusion is expected to widen the economic gap, benefiting developed nations while potentially displacing workers in less developed regions.

The commoditization of AI models suggests a future where the core technology becomes a widely available, low-margin commodity, similar to how computing power or basic software evolved. This transition implies that the primary value creation will shift from building the models to controlling the infrastructure that enables their widespread deployment and monetization. The authors identify distribution networks and payment rails as key "Commanding Heights," indicating that companies mastering these areas will capture the most significant economic gains. The concept of a "Neo-Dollar" stablecoin further points to a strategic leveraging of financial infrastructure to maintain economic influence.

This shift impacts various stakeholders, from AI developers to businesses and individuals. Labs focusing solely on model innovation might face diminishing returns, while firms controlling access, payments, and the digital currency infrastructure could see substantial growth. The analysis suggests a potential for increased economic stratification, where those who own or manage the essential conduits for AI's economic output will prosper, while others may be left behind. The future of wealth creation, therefore, lies not in creating intelligence itself, but in controlling the pathways through which it flows and is transacted.