AI Layoff Trap Paper Sparks Discussion on Automation Tax

As more companies replace labor with AI, a paper titled 'The AI Layoff Trap' has been released, addressing the impact of reduced consumption by laid-off workers on the market. Researchers warn that while AI automation may benefit individual companies, it could lead to excessive automation on a societal level. The paper was registered on arXiv on March 21, 2026, with a revised edition published in June. The key concept is 'demand externality', where the adoption of AI by one company leads to wage cost reductions, but the decrease in consumption by laid-off workers affects multiple companies. The researchers modeled the demand loss experienced by one company as 1/N when there are N companies. Consequently, they explained that the more intense the competition, the smaller the demand loss felt by individual companies, thus increasing the incentive to adopt AI. The paper proposes a Pigovian automation tax, arguing that taxing the demand loss not borne by companies could reduce the gap between private choices and collective outcomes. The researchers analyzed that UBI and capital income tax do not directly influence companies' automation decisions. This paper illustrates that discussions around AI and employment are expanding beyond mere job loss to encompass the relationship between macro demand and corporate profits.

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