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.

Taxing AI usage via a "token tax" is a flawed policy. It disproportionately harms the most ambitious and productive firms—those using AI to augment their human workforce and boost competitiveness. This creates a perverse incentive to avoid the very AI adoption that strengthens the economy.

Bill Gates advocates for a fundamental shift in tax policy to prepare for AI-driven job displacement. Instead of traditional income tax, he suggests taxing AI compute usage, or "tokens." This would create a new revenue stream to fund a social safety net for the millions of jobs he predicts will vanish.

The push for an AI token tax isn't limited to politicians. Tech leaders, including Mark Cuban, DuckDuckGo's CEO, and Anthropic's CEO Dario Amadei, have publicly supported or floated the idea, signaling a surprising openness within the industry to novel policy solutions for AI's societal impact.

Taxing AI tokens is a poor strategy as their cost approaches zero. A more sustainable model is to tax externalities created by AI, like a per-mile tax on autonomous vehicles, or to tax the enormous excess profits that AI will concentrate in a few companies.

The current tax structure creates a direct financial incentive to replace human workers with automation. By imposing payroll taxes on hiring while allowing companies to rapidly depreciate capital expenditures (CapEx) like robots, the system makes the machine a more economically rational choice than the person.

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.