How to implement UBI: Tax AI output to fund small human businesses

A viral economic proposal is gaining traction online, suggesting a novel framework to address the massive job displacement expected from corporate AI adoption. The idea, floated by Reddit user wosoda, argues that as large corporations automate white-collar and programming jobs with AI, the traditional tax base erodes. The solution is to flip the script: instead of taxing human labor, governments should impose heavy taxes on the output and productivity generated by AI systems. This creates a sustainable revenue stream directly from the automation engine itself.

The proposed use for this AI tax revenue is a Universal Basic Income (UBI), but with a crucial entrepreneurial twist. The UBI would not be positioned as traditional welfare, but rather as a 'subsidy' or 'angel investment' in individuals. The core objective is to provide the financial security necessary for people to start and run their own small businesses, ideally employing 10 to 100 people. This model aims to catalyze a economic shift from reliance on a few giant, automating corporations to a vibrant, distributed ecosystem of human-managed small firms. The AI, in effect, would be taxed to fund the very human enterprises it might otherwise displace.

Proponents see this as a proactive policy loop: tax the value created by automation and reinvest it into human capital and small-scale entrepreneurship. Critics, however, would point to significant implementation hurdles, such as defining and auditing 'AI output' for taxation, potential impacts on innovation, and the challenge of ensuring the UBI truly functions as productive capital. Nonetheless, the proposal starkly frames the coming economic disruption and offers a provocative, self-funding mechanism for societal adaptation.