AI tax policy debate: Altman, Cuban, Warren proposals questioned

The rapid advancement of AI has spurred discussions about its potential economic impact and the need for corresponding tax policy changes. Prominent figures like Sam Altman and Vinod Khosla have suggested drastic tax cuts for workers, while Mark Cuban has proposed differential tax rates for labor versus capital and specific taxes on AI features like tokens and compute. Senator Elizabeth Warren has called for wealth taxes to address AI's rise. However, the author expresses skepticism towards these proposals, arguing that AI's transformative nature does not warrant abandoning fundamental tax policy principles such as simplicity, low rates, and broad bases. The piece draws parallels to historical technological shifts, like the Industrial Revolution and the advent of personal computers, which led to broader tax bases rather than penalizing new technologies. It notes that labor-saving technologies have historically not led to a permanent shift in income shares between labor and capital, and that labor markets are dynamic with significant hiring and separations. The author suggests that increased leisure time, such as a four-day work week, could be a potential outcome of AI adoption. The article also points out that property taxes on data centers, like those in Loudoun County, Virginia, can contribute to local revenue, and advocates against creating special tax preferences for such infrastructure. Any unexpected tax revenue from capital gains, profits, or property should be directed towards reducing high federal deficits.