The integration of artificial intelligence (AI) into business operations has led to a significant rise in stock prices across the broader market. However, companies that have announced layoffs linked to AI have not always seen positive stock performance.
A CNBC analysis of 23 S&P 500 firms revealed that 56% of these companies experienced stock declines following their AI-related layoffs, with an average drop of about 25%. For instance, Nike's stock fell nearly 35% after it announced the layoff of 800 workers to enhance automation in its distribution centers.
Similarly, Salesforce's stock decreased by approximately 32% after it cut 4,000 jobs, attributing the layoffs to its AI-driven customer service initiative. Fiverr also saw a 54% decline in its stock after announcing a 30% workforce reduction to transition into an AI-first company.
This trend highlights a broader uncertainty among investors regarding the implications of AI, as noted by Daniel Keum, an associate professor at Columbia Business School. He described AI as a 'macro shock' that creates ambiguity about its long-term effects on profitability.
Despite the potential for AI to reduce labor costs, Keum pointed out that if all companies adopt AI to cut costs, the overall profitability may not improve. The phenomenon of 'AI washing' has also emerged, where companies may use AI as a justification for layoffs rather than a genuine strategic shift.
Investors are now looking beyond layoffs to assess how AI investments can enhance company performance. For example, Google has successfully leveraged AI to boost its cloud revenue and user engagement. Overall, while AI-related layoffs may not lead to immediate stock price increases, the long-term impact of AI on business operations and profitability remains a critical area of focus for investors