Key Takeaways
- Of 23 S&P 500 firms examined, 56 % saw their shares decline after announcing layoffs that were explicitly linked to AI, with an average drop of about 25 %.
- Notable examples include Nike (‑35 %), Salesforce (‑32 %) and Fiverr (‑54 %) from the dates of their AI‑related workforce cuts.
- Experts caution that investors struggle to separate genuine AI‑driven efficiency from “AI washing”—using the technology as a convenient excuse for routine cost‑cutting.
- Macro‑economic pressures such as geopolitical shocks, tariffs, and post‑pandemic hiring adjustments further blur the impact of AI on stock performance.
- While layoffs alone have not boosted share prices, investors are looking for AI‑powered revenue gains—such as Google’s Gemini enhancing cloud and search businesses or physical‑AI robotics improving safety and efficiency in industrial settings.
Overview of AI‑linked Layoffs and Stock Performance
Artificial intelligence has fueled a broad market rally, yet companies that have tied workforce reductions to the new technology have not always reaped stock‑price benefits. CNBC screened 23 S&P 500 firms across multiple sectors for layoffs in which AI was explicitly cited or strongly implied as a driver. As of May 15, 13 of those companies—56 %—were trading lower than at the time of the announcement, with an average decline of roughly 25 %. This pattern suggests that, at least in the short term, markets are skeptical about the value AI delivers when it is framed primarily as a labor‑cost‑cutting tool.
Nike’s Automation Layoffs
In January, footwear giant Nike announced the reduction of nearly 800 workers at its U.S. distribution centers, stating the move was part of a plan to “accelerate automation.” By mid‑May, Nike’s stock had slipped nearly 35 % from the date of the layoff notice. The downturn underscores investor wariness that automation initiatives, while potentially improving long‑term efficiency, may not immediately translate into higher earnings or shareholder value, especially when accompanied by sizable headcount cuts.
Salesforce Agentforce Impact
Salesforce disclosed in September that it would cut 4,000 employees, attributing part of the reduction to the rise of its AI‑powered customer‑service bots branded “Agentforce.” The company noted that these bots had replaced some support engineers, aiming to streamline service operations. Since the announcement, Salesforce’s share price has fallen about 32 %. The reaction highlights a broader market dilemma: even when AI demonstrably displaces certain roles, investors remain uncertain whether the technology will generate sufficient new revenue or cost savings to offset the short‑term pain of layoffs.
Fiverr AI‑First Restructuring
Online freelance marketplace Fiverr took a more aggressive stance, laying off 30 % of its staff to become “an AI‑first company that’s leaner, faster, with a modern AI‑focused tech infrastructure,” according to CEO Micha Kaufman. The firm’s stock has since plunged 54 % from the time of the announcement to May 15. Fiverr’s experience illustrates how a radical pivot toward AI can spook investors when the strategic shift is accompanied by deep workforce reductions, raising questions about the timing and execution of such transformations.
Expert Views on Uncertainty
Daniel Keum, associate professor of management at Columbia Business School, described AI as “a sort of macro shock,” noting that “there’s a lot of uncertainty in what it will do. No one really has a good grasp of … [its] mid‑to‑long‑term impact.” He added that productivity gains from AI often exhibit a “zero sumness”—if all competitors adopt similar automation, the baseline shifts and no single firm gains a lasting profitability edge. This perspective helps explain why markets have reacted negatively to layoff announcements that foreground AI as the primary rationale.
Macro and Geopolitical Factors
Keum also pointed out that external forces complicate the attribution of stock movements to AI alone. “Huge geopolitical shocks” such as the Iran conflict, President Donald Trump’s tariffs, and the unwinding of pandemic‑era over‑hiring have all contributed to cost‑cutting pressures. Consequently, investors find it difficult to isolate the effect of AI‑driven layoffs from these broader macroeconomic headwinds, leading to a “guessing” game about how much each factor truly influences share prices.
Beyond Layoffs: AI‑Driven Revenue Opportunities
Noah Hamman, CEO and founder of AdvisorShares, argued that “the job cuts aren’t enough” for investors seeking sustainable returns. He cited Google’s parent, Alphabet, as a case where AI is creating tangible top‑line growth: the generative AI tool Gemini has bolstered cloud revenue, sharpened search relevance, and increased user engagement across the Google ecosystem. Similarly, Ally Warson, partner at AI‑focused venture capital firm UP.Partners, highlighted physical‑AI startups whose robots make hazardous tasks—like window washing or wind‑turbine inspections—safer and more efficient, potentially reducing workplace injuries and boosting margins. These examples suggest that while layoff‑centric AI narratives have disappointed markets, AI’s capacity to generate new products, services, and efficiencies remains a compelling, albeit longer‑term, investment thesis.
Conclusion and Outlook
The data compiled by CNBC reveal a clear trend: S&P 500 companies that have announced layoffs explicitly linked to AI have, on average, seen their shares decline by about a quarter, with more than half posting negative returns. High‑profile cases such as Nike, Salesforce, and Fiverr reinforce the notion that investors remain wary of AI‑justified workforce reductions, viewing them as potential “AI washing” or insufficient signals of future profitability. Analysts stress that untangling AI’s impact from geopolitical shocks, trade policies, and post‑pandemic hiring cycles is challenging, and that true value creation may lie in AI‑enabled revenue streams rather than headcount cuts alone. As the technology matures, market participants will likely shift focus from layoff announcements to concrete evidence of AI‑driven innovation, product differentiation, and margin expansion—metrics that could ultimately determine whether AI becomes a lasting catalyst for stock‑price appreciation.
https://www.cnbc.com/2026/05/17/ai-related-layoffs-a-boost-for-stocks-not-necessarily.html