Wharton Economists Warn AI Layoff Trap Could Put 120 Million Workers at Risk
Updated
Updated · Business Insider · Jul 21
Wharton Economists Warn AI Layoff Trap Could Put 120 Million Workers at Risk
2 articles · Updated · Business Insider · Jul 21
Summary
Gerry Tsoukalas and Brett Falk argue in a new Wharton paper that AI can push firms into layoffs that ultimately shrink the consumer demand their own businesses need.
That trap stems from a competitive incentive to automate: even companies that see the demand risk may still replace workers because falling behind rivals is the worse outcome.
Tsoukalas said voluntary corporate restraint is unlikely to work and pointed instead to policy tools such as taxes on AI-driven job cuts or subsidies for firms that retain staff.
World Economic Forum findings cited in the report show the disruption already outpacing retraining, with 59 of every 100 workers needing reskilling by 2030 and 11 unable to get it.
That would leave more than 120 million workers at medium-term risk of redundancy, widening a broader debate over whether economies should focus less on preserving jobs than on sustaining livelihoods.
Is East Asia’s strategy of using AI to solve labor shortages smarter than Western fears of mass layoffs?
As AI replaces workers to boost corporate profits, who will be left to buy the products?
With AI quietly freezing entry-level hiring, are we creating a lost generation of professional talent?
The Economic Cost of AI-Driven Layoffs: Mechanisms, Vulnerabilities, and the Case for an Automation Tax
Overview
This report explores how rapid advances in artificial intelligence and digital technologies, while boosting innovation and productivity, create a unique economic risk called the 'AI Layoff Trap.' As firms compete, they automate quickly, displacing workers faster than the economy can reabsorb them. This reduces consumer demand, which in turn threatens the very businesses that rely on those customers. The cycle is driven by rational companies caught in an automation arms race, leading to a situation where both workers and owners may end up worse off. The report highlights the need for proactive policy and global cooperation to address these systemic challenges.