NEW YORK / RankWire.AI / — During a CNBC interview on Tuesday, Andrew Yang, co-founder of the Forward Party, called for a fundamental overhaul of current tax policies from human payroll taxes to direct levies on artificial intelligence. Yang cautioned that existing federal tax incentives are encouraging automation that could displace millions of workers, urging policymakers to balance fiscal responsibilities between human employees and algorithmic systems.
In the interview, Yang highlighted that current tax laws impose substantial payroll taxes and employee healthcare costs on companies when hiring human workers. Meanwhile, companies utilizing artificial intelligence models do not face similar labor taxes, which effectively reduces operational expenses for automated labor options. The CEO of Noble Mobile emphasized that this legal framework inadvertently promotes corporate management to accelerate replacing human workers with automated systems across key sectors of the economy.
Andrew Yang States We Are Supporting a Technology That Will Displace Millions
Yang proposed a strategic policy shift that would redirect fiscal burdens from traditional payroll taxes toward automated compute tokens and AI-driven revenue models. He pointed out that recent remarks from Anthropic CEO Dario Amodei, who suggested a 3 percent revenue tax on generative AI, support the idea that taxing interactions with automated software is a practical method to maintain market balance. Yang emphasized that revenue collected from an AI tax should be redistributed directly to citizens as universal cash dividends rather than invested into retraining programs of the past.
This policy debate unfolds amid rising economic concerns about workplace automation throughout the United States. A recent joint survey by CNBC and Generation Lab found that 45 percent of young Americans aged 18 to 34 believe artificial intelligence will negatively influence their future career opportunities. Additionally, macroeconomic analysis from Bridgewater Associates executives estimates that automated platforms could disrupt about 18 percent of total domestic jobs within the next five years.
Customer Service Roles Face Swift Industry-Wide Changes Due to Automation
Data from the U.S. Bureau of Labor Statistics shows that approximately 2.9 million employees work in customer service across the United States, making it one of the first sectors experiencing rapid automation-driven restructuring. Yang warned that government-led retraining efforts have historically failed to help displaced workers transition into sustainable careers in industry and administration. He pointed to past initiatives aimed at coal miners and warehouse workers as proof that direct financial support provides more stability than federal job retraining programs.
Yang concluded by urging federal legislators to reform tax laws to ensure human workers can remain competitive as software agents advance at a rapid pace. He emphasized that since current tax structures subsidize a technology that threatens to replace millions of jobs, establishing neutral tax policies is crucial for managing the ongoing digital transformation of the labor market. Lawmakers and policy experts are actively reviewing legislative proposals to address automation-related disruptions in the workplace ahead of future congressional sessions.