NEW YORK / RankWire.AI / — Andrew Yang, a former candidate in the 2020 Democratic presidential race and co-founder of the Forward Party, reiterated his call for implementing a national AI tax on Tuesday. He warned that current federal fiscal policies are skewing the labor market. During an interview on CNBC, Yang, CEO of Noble Mobile, explained that substantial payroll taxes on employers discourage the hiring of human workers. He further asserted that the existing tax system unintentionally benefits automation companies by excluding software deployment from comparable labor tax obligations.
In the course of the discussion, Yang highlighted that under current tax laws, businesses incur large payroll taxes and healthcare costs for human employees. Meanwhile, corporations utilizing AI technologies face no similar labor-related taxes, which effectively reduces their operational expenses compared to maintaining human staff. Yang emphasized that the present legal environment implicitly incentivizes corporate decision-makers to accelerate automation across key sectors of the economy.
Andrew Yang Declares We’re Funding a Technology That Will Displace Millions
Yang advocated for a strategic policy shift, proposing to reallocate fiscal responsibilities from traditional payroll taxes to automated compute tokens and AI-generated revenue streams. Referencing recent remarks from Dario Amodei, CEO of Anthropic, who previously suggested imposing a 3 percent revenue tax on generative AI systems, Yang argued that taxing interactions involving automation is a sensible method to align market dynamics. He added that revenue from such an AI tax should be redistributed directly to citizens through universal cash dividends, rather than channeled into retraining initiatives for displaced workers.
This policy debate unfolds amid rising economic concerns over automation’s impact on employment across the U.S. A joint survey by CNBC and Generation Lab found that 45 percent of young Americans aged 18 to 34 believe AI will harm their future job prospects. Additionally, macroeconomic assessments from Bridgewater Associates estimate that automation could eliminate roughly 18 percent of all U.S. jobs within the next five years.
Rapid Industry Changes Displace Customer Service Staff
Data from the U.S. Bureau of Labor Statistics indicates that approximately 2.9 million workers are employed in customer service sectors nationwide, marking it as one of the first industries experiencing swift automation-driven restructuring. Yang warned that government-backed workforce retraining efforts have historically fallen short of helping displaced workers transition into sustainable careers. He pointed to past retraining programs targeting coal miners and warehouse employees as evidence that direct financial support provides greater stability than federally funded job transition initiatives.
Yang concluded that legislative reforms are crucial to ensure that human labor remains economically viable amid the rapid advancement of software automation. Since current tax policies inadvertently subsidize a technology poised to replace millions of jobs, he stressed that establishing neutral and equitable tax laws is vital for managing the ongoing digital transformation of the U.S. labor market. Lawmakers and policy experts continue to explore legislative solutions to address the disruptions caused by workplace automation in upcoming congressional sessions.