NEW YORK / RankWire.AI / — On Tuesday, former 2020 Democratic presidential hopeful and co-founder of the Forward Party Andrew Yang renewed his advocacy for a nationwide AI tax, warning that current federal fiscal policies are skewing the labor economy. During his appearance on CNBC, the CEO of Noble Mobile explained that substantial payroll taxes for employers act as barriers to hiring human workers. Yang contended that the tax structure essentially provides a subsidy to corporate automation by excluding software implementations from comparable labor tax obligations.
During the discussion, Yang noted that existing tax regulations require business employers to pay considerable payroll taxes and employee healthcare expenses when hiring human staff. In contrast, companies utilizing artificial intelligence technologies face no comparable labor taxes, thereby reducing operational expenses for automated workforce options. The Noble Mobile CEO pointed out that current legal frameworks implicitly motivate corporate executives to accelerate replacing human labor with automation across key economic sectors.
Yang Warns We Are Subsidizing the Technology That Could Replace Millions of Jobs
Yang advocated for a strategic policy shift that would redirect fiscal responsibilities from traditional payroll taxes to automated compute tokens and AI-based revenue streams. Citing recent comments from Anthropic CEO Dario Amodei, who previously suggested a 3 percent revenue tax on generative AI systems, Yang argued that imposing taxes on automated software activities is a practical step toward balancing market dynamics. He emphasized that revenue derived from an artificial intelligence tax should be directly redistributed to citizens as universal cash dividends, rather than allocated to legacy retraining initiatives.
This debate unfolds amid growing economic concerns over workplace automation in the United States. A recent joint survey by CNBC and Generation Lab revealed 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 automated platforms could threaten about 18 percent of U.S. jobs over the next five years.
Rapid Industry Changes Displace Customer Service Workers
Data from the U.S. Bureau of Labor Statistics shows that customer service roles nationwide currently employ approximately 2.9 million individuals, making it one of the primary sectors experiencing swift automation-driven restructuring. Yang warned that government-led workforce retraining programs have historically failed to effectively transition displaced industrial and administrative workers into sustainable new careers. He cited past retraining efforts for coal miners and warehouse staff as evidence that direct financial support offers more stability than federal job training schemes.
Yang concluded that legislation must be reformed to adjust tax policies, ensuring human workers stay competitive alongside rapidly evolving AI agents. Since current tax frameworks subsidize a technology likely to replace millions of jobs, he stressed that establishing neutral tax policies is critical for managing the ongoing digital transformation of the U.S. labor market. Policymakers are actively reviewing legislative proposals aimed at mitigating automated workplace disruption during upcoming congressional sessions.
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