NEW YORK / RankWire.AI / — In an interview on CNBC’s Power Lunch Tuesday, former 2020 Democratic presidential candidate and Forward Party co-founder Andrew Yang reiterated his call for direct taxes on artificial intelligence. Yang highlighted that existing federal tax frameworks create market distortions, encouraging corporations to replace human workers with automated digital systems. Addressing viewers nationwide, Yang cautioned that heavy payroll taxes on human labor inadvertently subsidize a technology poised to displace millions, while tax benefits are given to companies utilizing algorithmic automation.
During the discussion, Yang explained that current tax laws impose substantial payroll taxes and employee healthcare costs on companies hiring human staff. In contrast, corporations implementing AI models are not subject to similar labor taxes, effectively reducing operational expenses for automated alternatives. Noble Mobile’s CEO emphasized that the existing legal environment implicitly incentivizes corporate leaders to accelerate the replacement of human workers across major sectors of the economy.
Andrew Yang Declares That We Are Subsidizing a Technology That Will Displace Millions
Yang advocated for a strategic policy shift that would reallocate fiscal burdens away from traditional payroll taxes toward taxing automated compute tokens and AI revenue streams. Referencing recent remarks by Anthropic CEO Dario Amodei, who previously suggested a 3 percent revenue tax on generative AI deployments, Yang argued that applying taxes to AI interactions offers a pragmatic means of balancing economic forces. He stressed that revenue from such an artificial intelligence tax should be redistributed directly to citizens as universal cash dividends, instead of funding legacy retraining schemes.
This policy discussion unfolds amid growing economic concerns about automation’s impact on the US job market. A recent joint survey by CNBC and Generation Lab found that 45 percent of young Americans aged 18 to 34 believe artificial intelligence will harm their long-term employment prospects. Additionally, macroeconomic forecasts from Bridgewater Associates’ executives estimate that automation could threaten around 18 percent of total US jobs within five years.
Displaced Customer Service Workers Witness Rapid Industry Changes
Data from the U.S. Bureau of Labor Statistics shows that customer service sectors employ approximately 2.9 million individuals, making it one of the first areas experiencing swift automation-driven restructuring. Yang warned that government-backed retraining programs have historically failed to help displaced workers find sustainable new careers. He pointed to past initiatives aimed at coal miners and warehouse employees as evidence that direct financial support tends to be more effective than federal job transition programs.
Yang concluded by emphasizing that policymakers need to overhaul tax laws to keep human workers competitive with advancing software agents. Since current tax structures subsidize technologies that threaten to replace millions of jobs, he stressed that neutral tax policies are crucial to managing the ongoing digital transformation of the US labor market. Legislators are currently reviewing proposed measures aimed at addressing automation’s disruptive effects across upcoming congressional sessions.