On May 17, CNBC released data showing that S&P 500 companies explicitly blaming AI for layoffs over the past year have been punished by the capital markets.
The Numbers
CNBC tracked 23 S&P 500 companies that directly linked layoffs to AI in announcements or earnings calls over the past 12 months, and monitored their stock performance from the announcement date through May 15:
- 13 companies saw stock declines, or 56%
- The average decline among those was about 25%
In other words, the narrative of "we replaced X employees with AI, saving Y costs" has been repeated over the past half-year, but investors aren't buying it.
The Three Worst Hit
CNBC specifically highlighted:
- Salesforce: In September 2025, cut about 4,000 jobs, directly citing AI. Stock fell about 32%.
- Fiverr: Sharply declined after AI-related layoffs. Stock fell about 54%.
- Nike: Announced accelerated "automation" at its U.S. distribution center. Stock saw a notable decline.
Fiverr's 54% drop is the most striking. The company bet its freelance platform entirely on AI—the market responded by cutting its value in half, and it hasn't stopped.
Salesforce's 32% decline is also significant. The company has been the loudest AI storyteller: Agentforce, AI Agent SaaS, Dreamforce stages almost exclusively AI. Yet when layoffs were announced, the market saw it not as an AI dividend but as a sign of business pressure.
Nike's case is more subtle. It didn't use the phrase "AI layoffs" but "accelerated automation"—the market saw through it and reacted similarly.
Story vs. Reality
Over the past year, corporate CFOs have repeatedly said "AI saved us X in labor costs." In theory, this is a winning argument for investors—tech dividends, margin expansion, gross profit improvement—all good words.
But this data shows one thing: investors are doing a different calculation.
Questions they are asking:
- Are you cutting jobs because AI can truly replace them, or just to make Q3 earnings look better?
- Is the quality of AI-driven work better or worse than before?
- If AI truly boosts productivity, revenue should rise, not just costs fall.
- Will customer experience, compliance, and operational incident rates suffer with fewer people?
The capital market looks at the full picture. Saving labor costs without revenue growth or with customer churn makes the AI replacement equation negative. Investors are unwilling to give high valuations to companies that use AI merely to stop losses.
A Control Group
Notably absent from the list of 23: Microsoft, Nvidia, and Alphabet. These companies have not used AI as a reason for layoffs; instead, they are aggressively hiring AI talent, spending on data centers, and signing compute contracts.
Their stock trajectories are different. Alphabet rose 160% over the past 12 months. Among the 23 companies on CNBC's list, the 13 that fell averaged a 25% decline.
The capital market over the past year has rewarded not "I used AI to cut people" but "I use AI as a business growth engine." CFOs should rethink this before their next earnings call.
Why This Matters Now
CNBC's data timing is not coincidental—just after the tail end of Q1 earnings season. Several companies that cited AI for layoffs also gave weak forward guidance. The market looked at them collectively and found a pattern.
The next earnings season is approaching. If CFOs continue using "AI reduced our FTEs" as a talking point, they will find investors less receptive. What they want to hear is: "AI increased revenue in this business line by X."
Layoffs are always a short-term narrative; revenue is a long-term one. The market has made this clear with an average 25% decline.
Sources: CocoLoop, AI-related layoffs a boost for stocks? Not necessarily (CNBC); AI-Linked Layoffs Fail to Lift Stocks (Let's Data Science); AI-Linked Layoffs Impact Stock Performance: A Deep Dive into Market Trends (GuruFocus)