IMF chief says AI hits labor market 'like a tsunami' as layoff fears hit 40%

The managing director of the International Monetary Fund stood on a stage in Davos on Tuesday and compared artificial intelligence to a natural disaster. Kristalina Georgieva told CNBC that AI is “hitting the labor market like a tsunami, and most countries and most businesses are not prepared for it.” The CNBC report from Davos captures a moment when the conversation around AI and jobs moved from abstract speculation to concrete, quantified anxiety.

The numbers are stark. Consulting firm Challenger, Gray & Christmas counted nearly 55,000 layoffs in the U.S. in 2025 where AI was cited as a significant contributing factor. Amazon cut 15,000 jobs. Salesforce CEO Marc Benioff said 4,000 customer support workers were let go because AI was already doing 50% of the work at the company. Tech consultancy Accenture and airline group Lufthansa also cited AI in restructuring.

Employee concerns about job loss due to AI have jumped from 28% in 2024 to 40% in 2026, according to preliminary findings from Mercer’s Global Talent Trends 2026 report, which surveyed 12,000 people worldwide. Mercer’s research shows that 62% of employees feel leaders underestimate AI’s emotional and psychological impact. Deutsche Bank analysts wrote in a note on Tuesday that “anxiety about AI will go from a low hum to a loud roar this year.”

The Deutsche Bank analysts also offered a note of skepticism. They argued that companies attributing job cuts to AI should be taken “with a grain of salt,” calling “AI redundancy washing” a “significant feature of 2026.” This is a useful framing. The term “AI washing” originally described companies exaggerating their use of AI to attract investment. “AI redundancy washing” is the mirror image: companies blaming AI for layoffs that would have happened anyway, to make the cuts seem technologically inevitable rather than managerial.

Sander van’t Noordende, CEO of Randstad, the world’s largest staffing firm, told CNBC that the role of AI in job cuts is being overstated. “I would argue that those 50,000 job losses are not driven by AI, but are just driven by the general uncertainty in the market. It’s too early to link those to AI,” he said. He called 2026 “the year of the great adaptation.”

The Stanford study cited by Deutsche Bank found a 16% relative decline in employment for graduates in roles exposed to AI since the launch of ChatGPT in November 2022, while jobs for experienced employees remained stable. The analysts called the study “inconclusive and noisy.” Yale University’s Budget Lab analyzed U.S. labor market data from 2022 to 2025 and found that the share of workers in different jobs hadn’t shifted massively since ChatGPT’s debut.

The tension in these findings is real. AI is clearly reshaping some roles at the margin, particularly in customer support, content generation, and data processing. But the aggregate labor market data does not yet show the kind of structural displacement that the headline numbers suggest. The gap between what the data shows and what workers fear is where the real story lives.

Mercer’s report found that 97% of investors said funding decisions would be negatively impacted by firms that fail to systematically upskill workers on AI. Over three-quarters of investors said they are more likely to invest in companies that provide AI education to employees. Ravin Jesuthasan, a future of work expert and senior partner at Mercer, told CNBC that investors are saying they will “actively invest or disinvest in companies that aren’t getting to the optimal combinations of humans and machines.”

This is the more interesting signal from Davos. The conversation is shifting from “will AI replace workers” to “how do companies combine workforces with AI.” The IMF’s Georgieva framed it as a skills problem: “What do they have to do? They need to think about the new skills that are already necessary and how they are going to have these new skills.”

The Deutsche Bank analysts also flagged a broader anxiety wave that extends beyond jobs. Their note cited lawsuits over copyright, privacy, data center location, and protection of young people from chatbots. “Anxiety about AI will go from a low hum to a loud roar this year,” they wrote. This is not just a labor story. It is a cultural and political story about how societies absorb a technology that changes the terms of work, creativity, and social interaction.

For AI builders and the companies deploying these systems, the Davos conversation carries a clear message. The window for treating workforce impact as a secondary concern is closing. Investors are already signaling that they will reward companies that invest in upskilling and penalize those that do not. The question is no longer whether AI will change work, but whether the institutions that manage work will adapt fast enough.

Georgieva’s tsunami metaphor is apt in one sense and misleading in another. A tsunami is a single event. The AI transition is a slow-moving wave that builds over years, and the damage depends on how well the shoreline is fortified. The data from Mercer and Yale suggests that the wave has not yet crested. The anxiety has.