Companies announcing layoffs tied to artificial intelligence are not always seeing their stock prices rise, according to a CNBC analysis. Of 23 S&P 500 firms studied, 56% experienced stock declines after their AI-related workforce reductions, with an average drop of 25%.
Experts cite investor uncertainty and the risk of “AI washing” – using AI as a justification for cuts – as factors influencing market reactions. Investors are increasingly looking for tangible AI-driven growth beyond just cost-saving measures.
AI Layoffs Stir Investor Skepticism: Stocks Don't Always Follow
The artificial intelligence boom has sent many stocks soaring, but companies announcing layoffs tied to AI implementation are not consistently seeing their share prices climb. A recent analysis by CNBC reveals a mixed bag, with more than half of the analyzed S&P 500 firms experiencing stock declines post-layoff announcements.
The impact of AI-linked layoffs on stock performance is proving to be complex.
Key Findings on AI Layoffs and Stock Performance:
CNBC examined 23 S&P 500 companies that announced AI-related workforce reductions.
As of May 15, 56% (13 out of 23) of these companies saw their stock prices fall after their layoff announcements.
For companies whose stocks declined, the average drop was approximately 25%.
Notable companies experiencing stock drops after AI-driven layoffs include Nike, Salesforce, and Fiverr.
Companies Facing Stock Declines Post-Layoffs:
Nike, citing a plan to accelerate "automation" at its U.S. distribution centers, cut nearly 800 workers in January. As of mid-May, its stock was down nearly 35% from the announcement. Salesforce laid off 4,000 workers in September, attributing the cuts to its AI-powered customer service bots, and its stock has since fallen about 32%. Similarly, Fiverr, aiming to become an "AI-first company," reduced its workforce by 30%, and its stock has plummeted 54% from the layoff announcement date.
Salesforce (CRM) 1-Year Performance
Investor Uncertainty and "AI Washing":
Experts suggest that investor uncertainty about the long-term impact of AI contributes to the mixed stock performance. Daniel Keum, an associate professor at Columbia Business School, describes AI as a "macro shock" with significant unknowns. Furthermore, there's a growing concern about "AI washing," where companies may use AI as a justification for cost-cutting or to mask underlying business issues, according to Ally Warson of UP.Partners. Investors are finding it difficult to distinguish genuine AI-driven strategic shifts from opportunistic rationalizations.
Beyond Layoffs: Seeking True AI Returns:
With layoffs alone not always translating to stock gains, investors are increasingly scrutinizing how companies are leveraging AI to drive actual business growth and profitability. Noah Hamman of AdvisorShares points to companies like Alphabet's Google, whose generative AI tool Gemini has demonstrably boosted cloud revenue, search capabilities, and user engagement. Investments in AI that lead to tangible improvements in operations and revenue streams are what investors are ultimately seeking.
Alphabet (GOOGL) 1-Year Performance
The integration of AI in physical applications, such as robotics for manufacturing and hazardous inspections, is also seen as a potential value driver, reducing workplace injuries and improving efficiency. However, the immediate takeaway is that simply announcing AI-related job cuts may not be a reliable catalyst for sustained stock price appreciation.
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