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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.

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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.

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.

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 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.

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.

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.

The massive valuations of AI companies aren't just based on technological potential; they are fundamentally tied to the economic value unlocked by displacing millions of jobs. This direct link between AI's value and its societal disruption justifies policies that capture and redistribute some of that value to cushion the blow for displaced workers.

Bill Gates Proposes Taxing AI "Tokens" to Fund a Social Safety Net for Displaced Workers | RiffOn