Lawmaker Proposes AI Token Tax to Fund Worker Protections

Rep. Greg Casar (D-Texas) has introduced the AI Tax and Work Protection Act, a legislative effort to fund worker support programs by taxing the output of artificial intelligence. The proposal marks a significant attempt to create a financial safety net for laborers displaced by rapid automation.

Under the proposed Act, AI developers and firms would be subject to a levy designed to fund a new 'Work Protection Administration.' The tax mechanism is tied to the scale of AI usage: it would be based on either a percentage of the associated revenue or the fair market value of tokens processed in covered transactions, whichever is greater. To ensure the fund scales with economic need, the tax rate is designed to increase as the unemployment rate rises.

The Challenge of Measuring AI

The proposal arrives as policymakers struggle to internalize the social costs of AI, including mass unemployment and the subsequent loss of payroll tax revenue. While usage-based taxes are a common tool for regulating new industries, the technical nature of AI creates unique hurdles for the Treasury. The debate centers on whether the government can accurately track the economic displacement caused by software without creating an administrative nightmare.

Legal scholar Andrew Leahey argues that using tokens as a basis for taxation is fundamentally flawed. According to Leahey, tokens are technical units of measurement rather than standardized commodities, making them a poor proxy for actual automation or economic gain. Because tokens may not be sold in arm's-length markets, he suggests that a token-based tax would be an unstable measurement of a firm's true impact on the workforce.

From Metering to Ownership

This disagreement highlights a broader shift in how the public might capture the wealth generated by AI. Rather than implementing a 'tax on the meter'—where the government collects a fee for every unit of AI processed—Leahey suggests the government should instead take equity stakes in AI firms.

"Instead of trying to tax the meter, government can own a piece of the franchise," Leahey stated, arguing that public equity would allow the state to capture long-term economic gains more effectively than a fluctuating usage tax. This approach would move the conversation from traditional taxation toward a model of public ownership of AI-driven wealth.

What's Next

As the AI Tax and Work Protection Act moves through the legislative process, observers will be watching to see if the Treasury can develop a viable framework for valuing AI tokens. Whether the U.S. adopts a usage-based levy or explores the more radical path of sovereign equity stakes will determine how the economic windfall of the AI era is distributed between private developers and the public.