Excessive AI-driven layoffs may weaken demand and hurt business growth, study finds

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Excessive AI-driven layoffs may weaken demand and hurt business growth, study finds
Excessive AI-driven layoffs may weaken demand and hurt business growth, study finds

New research suggests that replacing workers with machines could create long-term risks for businesses themselves.

A study titled “The AI Layoff Trap” by Brett Hemenway Falk of the University of Pennsylvania and Gerry Tsoukalas of Boston University challenges the idea that automation always benefits companies. While AI adoption may reduce costs for individual firms, the researchers argue it can also weaken the broader economy.

The study highlights a key point: workers are not just employees but also consumers. When companies replace workers with AI, people lose income. If they cannot quickly find new jobs, their spending falls. Since consumer demand drives business revenue, this decline can impact companies across industries.

According to the researchers, this creates a feedback loop. Lower spending leads to weaker demand, which then reduces company revenues. In extreme cases, firms may end up “automating their way to boundless productivity and zero demand”.

Despite understanding these risks, companies may still continue aggressive automation. The study explains this through the concept of “externality”. While firms gain from cost savings, the negative impact of reduced consumer spending is shared across the entire market. As a result, each company bears only a small part of the overall damage and continues to automate.

This leads to what the study describes as an “automation arms race”, where firms replace more workers than is economically sustainable. Even though each company acts in its own interest, the combined effect can reduce profits and weaken the economy.

The research also examines policy solutions. Measures like universal basic income (UBI), capital taxes, and profit-sharing can help offset income loss but do not solve the root problem. Upskilling and retraining may help workers find new jobs, but may not fully restore lost demand.

The study suggests that a Pigouvian tax on automation could directly address the issue. This would involve taxing companies for replacing human labour with AI, helping align business decisions with broader economic impact.

As AI adoption continues to grow, the findings highlight the need to rethink how automation is managed to ensure sustainable economic growth.

Also read: Viksit Workforce for a Viksit Bharat

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