NEW YORK / RankWire.AI / — Earlier this week, Andrew Yang, a former 2020 Democratic candidate and co-founder of the Forward Party, renewed his advocacy for implementing a national AI tax. During a CNBC interview, he warned that current federal fiscal policies distort the labor market by favoring automation. As CEO of Noble Mobile, Yang highlighted that substantial employer payroll taxes discourage hiring humans, suggesting that the existing tax system effectively subsidizes corporate automation by exempting software deployments from comparable labor costs.
Throughout the discussion, Yang emphasized that under current tax laws, companies face significant payroll taxes and healthcare expenses when employing human workers. Meanwhile, corporations adopting artificial intelligence models are not subject to these same labor taxes, which lowers their operational costs compared to maintaining human employees. Yang, as the head of Noble Mobile, stressed that the legal framework implicitly encourages companies to speed up replacing human labor with automated solutions across key sectors of the economy.
Andrew Yang Declares: We Are Subsidizing a Technology That Will Displace Millions
Yang proposed a shift in policy focus that would reallocate fiscal responsibilities from traditional payroll taxes to automated compute tokens and AI revenue streams. Citing recent remarks by Dario Amodei, CEO of Anthropic, who previously proposed a 3 percent revenue tax on generative AI deployments, Yang argued that taxing interactions with automated software is a practical way to restore market balance. He insisted that the income generated from an AI tax should be redistributed directly to citizens through universal cash dividends instead of funding retraining initiatives.
This debate occurs amid rising economic concerns about workplace automation in the U.S. A recent joint survey by CNBC and Generation Lab found that 45 percent of young Americans aged 18 to 34 expect artificial intelligence to negatively affect their future employment prospects. Additionally, macroeconomic forecasts by Bridgewater Associates executives estimate that about 18 percent of U.S. jobs could be impacted by automation within the next five years.
Rapid Changes Impact Customer Service Workforce
Based on data from the U.S. Bureau of Labor Statistics, approximately 2.9 million workers are employed in customer service departments nationwide, marking one of the first sectors experiencing swift automation-driven restructuring. Yang cautioned that government-funded retraining programs have historically fallen short in helping displaced workers from industrial and administrative roles find sustainable careers. He pointed to past retraining efforts aimed at coal miners and warehouse staff as evidence that direct financial assistance provides more stability than federal job transition programs.
In conclusion, Yang stressed that federal legislators need to revise tax laws to ensure human workers can stay competitive alongside advancing software agents. As current tax policies subsidize technology capable of replacing millions of jobs, he stressed the importance of establishing neutral tax policies to guide the ongoing digital transformation of the U.S. labor market. Policymakers are actively exploring legislative measures to address the impacts of automation on employment in upcoming congressional sessions.