AI Layoff Announcements Are Dragging Stocks Down, Not Lifting Them

CNBC reported Sunday that companies announcing AI layoffs are largely failing to impress investors, with more than half of the firms examined seeing their share prices fall in the aftermath.

AI Layoffs Stocks Trend Runs Counter to the Hype

The outlet examined 23 S&P 500 companies across multiple sectors that explicitly tied workforce reductions to artificial intelligence or signalled plans to expand its use. As of May 15, 13 of those firms — roughly 56% — were trading below where they stood when layoffs were announced. Among those whose stocks fell, the average decline reached approximately 25%.

The findings challenge a popular assumption that pairing job cuts with an AI narrative signals operational efficiency to Wall Street.

Heavy Hitters Among the Worst Performers

Several high-profile names featured among the hardest-hit stocks. Athletic apparel company Nike cut close to 800 distribution workers in January, citing plans to automate its U.S. facilities. Its shares slid nearly 35% from the announcement date to mid-May.

Enterprise software firm Salesforce eliminated around 4,000 roles last September, saying its AI-powered customer service platform had taken over functions previously handled by support engineers. The stock has shed roughly 32% since that disclosure.

Freelance marketplace Fiverr announced perhaps the most dramatic restructuring, cutting 30% of its workforce to reposition itself as an AI-first business. Shares collapsed around 54% over the same comparison period.

Why Investors Remain Skeptical

Columbia Business School associate professor of management Daniel Keum told CNBC that investor hesitation reflects deep uncertainty about where AI ultimately leads. He described the technology as a “macro shock” whose medium- and long-term consequences remain poorly understood across markets.

Keum added that AI is being deployed primarily as a labour-cost tool in the vast majority of cases, despite broader promises from technology developers. He argued that competitive dynamics further dilute any individual firm’s advantage — if every company cuts costs through AI simultaneously, the productivity baseline simply shifts and no one gains lasting profitability.

The “AI Washing” Problem

A separate concern is clouding investor judgment. Ally Warson, a partner at AI-focused venture capital firm UP.Partners, told CNBC that some companies may be using AI as a convenient cover story for conventional cost-cutting or strategic missteps. The practice has attracted its own label among market participants — “AI washing” — and it is making it harder for investors to distinguish genuine transformation from balance-sheet window dressing.

Analysts also note that broader geopolitical pressures and macroeconomic volatility are making it harder still to isolate the precise effect of any single corporate decision on share performance.

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