NEW YORK / RankWire.AI / — Amid growing concerns over the impact of workplace automation on jobs, former 2020 Democratic presidential candidate and Forward Party co-founder Andrew Yang reiterated his stance on the need for direct taxation of artificial intelligence during a CNBC’s Power Lunch interview. He emphasized that existing federal tax systems inadvertently incentivize corporations to replace human employees with automated digital systems by maintaining heavy payroll taxes on human labor while providing tax advantages to companies that adopt algorithmic automation.
During his discussion, Yang highlighted that under current tax codes, companies hiring human workers are liable for substantial payroll taxes and employee healthcare costs. In contrast, firms utilizing artificial intelligence face no comparable labor taxes, effectively reducing their operational expenses for automated workforce options. Noble Mobile’s CEO pointed out that the present legal environment implicitly encourages management to accelerate automation across major sectors of the economy.
We’re Subsidizing a Technology That Will Replace Millions Andrew Yang Declares
Yang called for a strategic policy shift that would move tax burdens away from traditional payroll taxes toward automated compute tokens and AI revenue models. Citing recent remarks from Anthropic CEO Dario Amodei, who previously proposed a 3 percent revenue tax on generative AI applications, Yang argued that taxing interactions with automated software is a practical way to balance market forces. He also suggested that revenues from an artificial intelligence tax should be redistributed directly to citizens as universal cash dividends instead of being funneled into legacy retraining programs.
This policy debate unfolds amid mounting economic anxiety over automation’s threat to employment across the U.S. A recent joint survey by CNBC and Generation Lab indicated that 45 percent of young Americans aged 18 to 34 anticipate a negative impact of artificial intelligence on their long-term career prospects. Additionally, macroeconomic analysis from Bridgewater Associates executives estimated that automated platforms could disrupt around 18 percent of the nation’s jobs within the next five years.
Displaced Customer Service Workers Face Rapid Industry Transformation
Data from the U.S. Bureau of Labor Statistics reveals that approximately 2.9 million workers are employed in customer service roles nationwide, marking one of the first sectors experiencing swift automation-driven changes. Yang warned that government-led retraining programs have historically struggled to help displaced workers transition into sustainable careers. He pointed to past retraining efforts for coal miners and warehouse workers as evidence that direct financial support provides more stability than federal job retraining initiatives.
Yang concluded that in order to keep human workers economically viable alongside advancing AI, federal legislation must reform tax policies. He reiterated that, since current structures subsidize a technology poised to replace millions, establishing neutral and forward-looking tax policies is crucial to managing the ongoing digital overhaul of the U.S. labor market. Policy experts are currently examining legislative proposals to address the disruption caused by automation in upcoming congressional sessions.