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Artificial intelligence has ushered in a bull run in stocks that has taken the broader market to new heights. Companies that have tied workforce reductions to the new technology, however, haven't always fared so well.
CNBC compiled a list of 23 S&P 500 firms across multiple sectors and industries to see how their stocks fared following layoffs linked to AI. Specifically, we looked for companies that explicitly cited artificial intelligence or hinted at increased use of the technology when announcing the workforce reductions.
As of May 15, 13 of those companies, or 56%, have traded in the red from the time of their layoff announcements. For corporations whose shares fell after their AI-linked layoffs, the average decline was about 25%.
Footwear giant Nike cut nearly 800 workers in January, citing a plan to accelerate "automation" at its U.S. distribution centers. As of May 15, the stock was trading down nearly 35% from the time of its workforce reduction.
Similarly, Salesforce has shed about 32% since news of its AI-driven layoffs became public around the end of last summer. The customer relationship management company slashed head count by 4,000 workers in September, noting that its AI-powered team of customer service bots called "Agentforce" had replaced some support engineers.
Later that month, online marketplace Fiverr also laid off 30% of its staff to become "an AI-first company that's leaner, faster, with a modern AI-focused tech infrastructure" and a smaller team, according to CEO Micha Kaufman. The stock has plunged 54% from that time to May 15.
While only a small sample size, the data underscores an uncomfortable reality: Investors don't know what to make of AI and its potential impacts, even as usage of the technology widens, Daniel Keum, associate professor of management at Columbia Business School, told CNBC.
"AI is sort of what we call a sort of macro shock," Keum said. "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."
What's certain is that AI is being used to cut labor costs in the "vast majority" of cases, despite makers of the technology touting its other applications, he said.
"There's a zero sumness to productivity gains, meaning yes … I'm using new technologies ... to cut staff … but my competitors are doing the same," Keum said. "If everybody's sort of improving, then the baseline is just shifting and no one is more profitable."
Blaming AI?
As AI has attracted buzz, so too has the idea that companies could use the technology to eliminate jobs and otherwise cut costs.
By one estimate, at least 112,000 jobs losses can be tied to AI adoption since the start of 2025. In a study released in November, the Massachusetts Institute of Technology also found that AI can already do the job of 11.7% of the U.S. labor market and save companies as much as $1.2 trillion in wages in a variety of sectors.
However, investors have struggled to discern whether firms are truly making decisions informed by AI or simply using the technology as a way to explain away old-fashioned cost cutting or balance-sheet blunders, according to Ally Warson, partner at AI-focused venture capital firm UP.Partners.
The concept is so top of mind for investors and other members of the public that there's even a name for it: "AI washing."
"Companies will leverage whatever is in the media or the accepted narrative to potentially cloak why or why not they may lay people off," Warson told CNBC.
Investors are also grappling with how to measure the influence of AI on companies as several geopolitical and macroeconomic issues also weigh on their stocks, according to Keum.
"Huge geopolitical shocks" such as the Iran war have led to layoffs, while President Donald Trump's tariffs unveiled last year have added to pressures to cut costs, Keum said. And, an unwinding of pandemic-era over-hiring also remains at play.
"Then, there's the true shock of AI," Keum said. "How much we can attribute to each … everyone's guessing."
'Job cuts aren't enough'
Amid those uncertainties, investors are looking beyond layoffs to other ways AI can boost bottom lines, according to Noah Hamman, CEO and founder of investment management firm AdvisorShares.
"The job cuts aren't enough," Hamman said. "People are looking at what … [companies are] spending and then trying to figure out who's going to actually get successful returns out of all those investments."
The investor cited Google, which is owned by publicly traded Alphabet, as an example of a firm that is boosting its business with AI. Its generative AI tool Gemini has contributed to cloud revenue, strengthened search and boosted user engagement across the Google ecosystem, he noted.
The emerging tech is also powering robotics designed for manufacturing, industrial and construction companies, according to Warson, who invests in physical AI startups. Those robots can make dangerous tasks like window washing or wind turbine inspections more efficient and reduce costly workplace injuries, potentially boosting businesses' bottom lines.
One thing is clear, though: Layoff announcements tied to great use of artificial intelligence may not be enough to boost a company's stock price — at least long term.

Facts Only

CNBC analyzed 23 S&P 500 companies that linked layoffs to AI adoption.
13 of these companies (56%) saw stock declines after layoff announcements.
The average stock decline for these companies was about 25%.
Nike cut nearly 800 workers in January, citing automation in U.S. distribution centers.
Nike's stock was down nearly 35% as of May 15 from the time of its layoff announcement.
Salesforce laid off 4,000 workers in September, citing AI-powered customer service bots called "Agentforce."
Salesforce's stock declined about 32% since its AI-driven layoffs.
Fiverr laid off 30% of its staff in September to become "an AI-first company."
Fiverr's stock plunged 54% from the time of its layoff announcement to May 15.
A study by MIT found AI could perform 11.7% of U.S. labor market jobs, potentially saving companies $1.2 trillion in wages.
Daniel Keum, associate professor at Columbia Business School, noted uncertainty about AI's mid- to long-term impact.
Ally Warson, partner at UP.Partners, highlighted the concept of "AI washing," where companies use AI as a narrative to justify layoffs.
Google's AI tool Gemini has contributed to cloud revenue and user engagement.
AI is being used in robotics for manufacturing, industrial, and construction tasks.

Executive Summary

Artificial intelligence has driven a stock market surge, but companies linking layoffs to AI adoption have seen mixed results. A CNBC analysis of 23 S&P 500 firms found that 56% experienced stock declines after announcing AI-related workforce reductions, with an average drop of 25%. Notable examples include Nike, which cut nearly 800 jobs in January citing automation in distribution centers, and Salesforce, which laid off 4,000 workers in September while introducing AI-powered customer service bots. Fiverr also reduced its staff by 30% to become "AI-first," with its stock falling 54% since the announcement. Experts highlight uncertainty around AI's long-term impact, noting that while companies use AI to cut labor costs, investors struggle to assess whether these moves reflect genuine technological integration or cost-cutting disguised as innovation. The phenomenon of "AI washing" further complicates investor confidence, as geopolitical and macroeconomic factors also influence layoffs. Some firms, like Google, demonstrate AI-driven growth through tools like Gemini, but overall, layoffs alone do not guarantee stock performance improvements.

Full Take

The narrative around AI-driven layoffs reveals a tension between corporate cost-cutting and investor skepticism. At its strongest, the analysis highlights a measurable disconnect: companies framing layoffs as AI-driven innovation often see stock declines, suggesting investors doubt the long-term value of such moves. This aligns with the broader uncertainty about AI's economic impact, as noted by experts who question whether productivity gains from AI are sustainable when competitors adopt similar strategies.
Patterns detected: ARC-0024 Ambiguity (AI's role in layoffs is often framed vaguely, allowing companies to obscure traditional cost-cutting motives), ARC-0043 Motte-and-Bailey (firms may claim AI is transforming operations while using it primarily to justify layoffs).
The root cause appears to be a clash between short-term financial pressures and the unproven promise of AI. Companies face pressure to demonstrate efficiency, but investors remain unconvinced that layoffs alone—even when tied to AI—translate to lasting profitability. The phenomenon of "AI washing" exacerbates this, as firms may exploit the technology's hype to rationalize decisions that lack strategic depth.
For human agency, the implications are stark: workers bear the immediate costs of displacement, while shareholders and executives may not reap the promised benefits. Second-order consequences include eroded trust in corporate narratives about technological progress and potential misallocation of capital if AI investments fail to deliver.
Bridge questions: How might companies demonstrate AI's value beyond labor cost reduction? What metrics could investors use to distinguish genuine AI integration from superficial adoption? Would transparency about AI's limitations—rather than overpromising—restore confidence?
Counterstrike scan: A coordinated influence campaign might amplify fears of AI-driven job losses to pressure companies into hasty layoffs, creating market volatility. However, the article's focus on empirical stock performance and expert skepticism suggests a balanced, evidence-based approach rather than manipulative framing.

Sentinel — Human

Confidence

The text exhibits the structure, nuance, and specific attribution markers of high-quality journalistic writing, suggesting it was written by a human analyst synthesizing complex data, rather than being purely synthetic.

Signals Detected
low severity: Natural variance in sentence length and rhythm; shifts in focus based on the quoted material.
low severity: Nuanced exploration of complex concepts (e.g., 'AI washing,' 'zero sumness') and the blending of quantitative data with qualitative expert opinion.
low severity: Attribution of specific, named expert opinions that appear contextually relevant to the flow of the argument.
low severity: Specific, verifiable, and cited examples (Nike layoffs, Salesforce headcount, Gemini) are woven into the narrative, suggesting research-based sourcing rather than purely fabricated data.
Human Indicators
The integration of philosophical/economic concepts (zero-sumness, macro shock) with concrete financial data suggests a human analytical framework rather than purely algorithmic generation.
The flow between disparate ideas—from corporate layoffs to geopolitical shocks to investment strategy—demonstrates an idiosyncratic emphasis common in human-edited journalism.