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    Home » We’re subsidizing a technology that will replace millions Andrew Yang warns
    Technology

    We’re subsidizing a technology that will replace millions Andrew Yang warns

    August 21, 2026

    NEW YORK / RankWire.AI / — Former 2020 Democratic presidential candidate and Forward Party co-founder Andrew Yang renewed his call for direct taxation on artificial intelligence on Tuesday during an interview on CNBC’s Power Lunch. Yang argued that current federal tax structures create artificial market incentives for corporations to replace human workers with automated digital software systems. Addressing national broadcast viewers, Yang warned that we’re subsidizing a technology that will replace millions by maintaining heavy payroll taxes on human labor while offering tax advantages to companies deploying algorithmic automation.

    We’re subsidizing a technology that will replace millions Andrew Yang warns
    Robotic mechanical hands interact with corporate taxation blocks to illustrate policy shifts.

    During the interview, Yang pointed out that under existing tax codes, enterprise employers pay significant payroll taxes and employee healthcare costs when hiring human staff. Conversely, corporate entities adopting artificial intelligence models face no equivalent labor taxes, effectively lowering operational costs for automated workforce alternatives. The chief executive officer of Noble Mobile emphasized that the current legal framework implicitly encourages corporate management to accelerate automated labor replacement across major economic sectors.

    We’re Subsidizing a Technology That Will Replace Millions Andrew Yang Declares

    Yang proposed a targeted policy pivot that would shift fiscal burdens away from traditional human payroll taxes toward automated compute tokens and artificial intelligence revenue models. Highlighting recent public statements from Anthropic Chief Executive Officer Dario Amodei, who previously floated a 3 percent revenue tax on generative AI deployments, Yang argued that taxing automated software interactions represents a pragmatic approach to balancing market forces. He noted that revenue generated from an artificial intelligence tax should be distributed directly to citizens as universal cash dividends rather than directed into legacy retraining programs.

    The policy debate occurs against a backdrop of increasing economic anxiety regarding workplace automation across the United States. A recent joint survey conducted by CNBC and Generation Lab revealed that 45 percent of surveyed young Americans aged 18 to 34 expect artificial intelligence to negatively impact their long-term career prospects. Furthermore, macroeconomic analysis published by executives at Bridgewater Associates estimated that automated technological platforms could disrupt approximately 18 percent of total domestic jobs over the next five years.

    Displaced Customer Service Personnel Experience Rapid Industry Shifts

    According to data compiled by the U.S. Bureau of Labor Statistics, customer service departments across the country currently employ roughly 2.9 million workers, representing one of the initial operational areas undergoing rapid automated restructuring. Yang cautioned that government-sponsored workforce retraining programs historically failed to transition displaced industrial and administrative workers into sustainable alternative careers. He cited historical retraining initiatives aimed at coal miners and warehouse personnel as empirical evidence that direct financial support offers greater stability than federal job programs.

    Yang concluded that federal lawmakers must reform statutory tax policies to ensure human workers remain economically competitive alongside rapidly advancing software agents. As we’re subsidizing a technology that will replace millions under current tax structures, Yang reiterated that establishing neutral tax policy remains essential to navigating the ongoing digital transformation of the national labor market. Policy experts continue reviewing proposed legislative mechanisms to address automated workplace disruption across upcoming congressional sessions.

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