AI companies compete with the US Treasury for capital, driving up interest rates the government can't afford. Simultaneously, AI aims to eliminate white-collar jobs that form the core of the federal tax base. This creates a "snake-eating-its-own-tail" dynamic that pushes the US closer to a fiscal crisis.

Instead of controversial wealth or broad income taxes, a more politically viable solution for AI-driven job displacement is to levy a higher corporate tax rate specifically on companies whose profit margins surge after replacing workers with AI.

The core argument for a token tax is not to penalize AI, but to ensure the tax system doesn't artificially favor automation. It shifts the tax base from human labor (payroll, income taxes) to AI's productive capacity, measured in tokens, to prevent tax-incentivized job displacement.

By taxing wealth (e.g., capital gains) at a lower rate than labor (e.g., income), the US tax system creates a "thumb on the scale" that subsidizes automation. This policy actively encourages companies to replace workers, exacerbating job displacement and inequality.

The AI industry and the US government both require trillions in funding. This creates a paradox: the more successful AI becomes, the more it erodes the white-collar tax base by automating jobs, forcing the Treasury to borrow even more and intensifying the competition for scarce capital.

As companies use AI to do more with fewer people, productivity gains boost profits but don't create jobs at the same rate. This "ghost GDP" concentrates wealth among a few and risks a long-term decline in broad-based consumer spending, as the generated value isn't dispersed to human workers.

In a future with mass unemployment due to automation, the economic pie would expand so enormously that redistribution becomes practical. Taxing the massive windfall profits and capital gains of AI-driven companies could fund society, as even a small slice of a gigantic pie is substantial.

Bill Gates suggests governments should tax AI tokens, robots, or automated labor profits. This would rebalance a tax system that currently incentivizes replacing humans with machines through payroll taxes versus equipment write-offs.

While an AI productivity boom could significantly reduce the US primary deficit, economist Ben Harris argues this optimism must be tempered. His model shows that five factors—longer life spans, lower labor participation, a shift to lower-taxed capital income, an AI arms race, and higher interest rates—will erase roughly half the fiscal gains from growth.