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Consumption taxes are efficient and hard to avoid. While typically viewed as regressive, their impact can be reversed by exempting essentials like food and energy and supplementing with cash welfare for low-income households. This creates a robust, progressive, and efficient system for an AI-disrupted economy.

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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.

Current tax structures penalize human labor but not machine labor, creating an incentive for automation. A tax on AI compute (tokens) would level the playing field, fund social programs for displaced workers, and is presented as a politically feasible bipartisan solution.

Governments rely heavily on taxing workers. As AI displaces jobs or suppresses wages, this primary revenue stream shrinks. AI creates value in areas like capital and corporate profits, which are taxed less heavily, leading to a potential government funding crisis even as the economy grows.

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.

Economist Ben Harris warns that AI-driven growth may disproportionately benefit owners of capital rather than labor. Because capital income is taxed at a much lower marginal rate than labor income, this shift in the composition of national income would lead to lower-than-expected tax revenues, even amidst strong overall economic growth.

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.

Sam Altman outlined a new social contract for the AI age, suggesting a tax on automated labor (robots and AI) instead of human income. This revenue would fund a public wealth fund, providing citizens with an 'AI dividend.' This proactive policy aims to ensure the public broadly benefits from AI-driven productivity gains, not just company owners.

Since taxing profitless AI companies is impossible, a new system is needed. Instead of redistribution, money creation itself must be re-engineered. Capital could be generated and injected directly to individuals for simply existing and participating in the economy, fundamentally changing how money enters circulation.