NEW YORK / RankWire.AI / — Andrew Yang, a former 2020 Democratic presidential candidate and co-founder of the Forward Party, reiterated his call for taxing artificial intelligence directly during an interview on CNBC’s Power Lunch on Tuesday. He asserted that existing federal tax frameworks create artificial market incentives for corporations to replace human workers with automated digital systems. Speaking to viewers across the nation, Yang warned that the current approach effectively subsidizes a technology poised to replace millions of jobs by maintaining heavy payroll taxes on human labor while offering tax benefits to companies that adopt algorithmic automation.

In the interview, Yang highlighted that under present tax codes, companies pay substantial payroll taxes and cover employee healthcare costs when employing human workers. In contrast, corporations utilizing artificial intelligence face no comparable labor taxes, which reduces operational expenses for automated workforce solutions. The CEO of Noble Mobile pointed out that the legal framework implicitly incentivizes corporate decision-makers to accelerate the shift toward automated labor across key economic sectors.
Andrew Yang Declares That We Are Supporting a Technology Threatening to Displace Millions
Yang proposed a strategic policy shift that would reallocate fiscal responsibilities from traditional payroll taxes toward automated compute tokens and AI-driven revenue models. He referenced recent statements by Dario Amodei, CEO of Anthropic, who previously suggested a 3 percent revenue tax on generative AI deployments. Yang argued that taxing interactions with automated software offers a realistic way to balance market dynamics. He emphasized that the revenue generated from an AI tax should be redistributed as universal cash dividends to citizens, rather than allocated to legacy retraining initiatives.
This policy debate unfolds amid growing 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 believe AI will negatively affect their long-term career opportunities. Additionally, macroeconomic analysts at Bridgewater Associates estimate that automated platforms could impact roughly 18 percent of total U.S. jobs over the next five years.
Displaced Customer Service Employees Face Rapid Industry Changes
Data from the U.S. Bureau of Labor Statistics shows that approximately 2.9 million workers are employed in customer service departments nationwide. This sector is among the first to undergo swift automation-driven restructuring. Yang warned that government-led workforce retraining programs have historically failed to help displaced industrial and administrative workers transition into sustainable careers. He pointed to past retraining efforts for coal miners and warehouse staff as evidence that direct financial aid provides greater stability than federal job placement schemes.
Yang concluded that it is essential for federal legislators to overhaul tax laws so that human workers can stay competitive alongside rapidly advancing software agents. Since current tax policies subsidize a technology that will displace millions, he stressed that establishing neutral and fair tax policies is crucial to managing the ongoing digital transformation of the labor market. Policymakers are actively reviewing proposed legislative measures to address the disruptions caused by automation in workplaces during upcoming congressional sessions.
