Economists are expressing concerns that the rise of artificial intelligence could lead to a surge in corporate layoffs, ultimately threatening the sustainability of businesses themselves.
In their research paper, "The AI Layoff Trap," published by The Wharton School, authors Gerry Tsoukalas and Brett Falk highlight a pressing issue: as companies strive to automate, they may inadvertently decrease consumer spending, which is crucial for their profit margins. Tsoukalas, a senior fellow at Wharton, elaborated on the dilemma during an interview with journalist Katty Kay on the New Normal podcast released on Monday. He posed a critical question: “If automation replaces a large number of workers, who will be left to buy the products?”
The paper presents a classic economic conflict: while a single firm might understand that excessive layoffs can diminish demand for its offerings, the competitive landscape compels all businesses to automate. If they don't, they risk falling behind their competitors. Tsoukalas stated, "Regardless of what you decide, or what your competitors are doing, the optimal strategy is to adopt as much technology as you can." This scenario exemplifies what economists refer to as a "dominating strategy."
This warning aligns with broader concerns shared by global entities regarding AI’s potential disruption of the workforce. A report from the World Economic Forum published in July indicated that conventional reskilling initiatives are not keeping up with the rapid changes driven by AI. The pace at which job roles are evolving often outstrips workers' ability to retrain, making it financially unfeasible to continuously educate a vast workforce.
The report suggested a shift in focus: rather than merely determining which jobs will endure, the conversation should explore whether “jobs” remains the best framework for analysis. It proposed that transitioning from a job-centric approach to one that considers overall livelihoods could be fundamental to fostering a supportive economy.
Tsoukalas cautioned against relying on companies to self-regulate in managing this transition. "Expecting firms to resolve this independently could lead to negative outcomes," he stated. He proposed mechanisms such as imposing taxes on firms that choose to replace human workers with AI, alongside offering incentives for those that retain their employees.
Additionally, a separate report from the World Economic Forum projected that, if the global workforce were represented by a group of 100 individuals, 59 would need reskilling or upskilling by 2030, with 11 falling outside the reach of assistance. This translates to over 120 million workers facing medium-term redundancy risks.
