Layoffs Don’t Deliver AI ROI—Redeploying Workers Does, Data Shows
A Gartner study finds that reskilling and redeploying employees generates stronger, longer-term returns from AI than cutting headcount.
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Many companies that invested heavily in AI are now under pressure to prove the technology is paying off. Too often, they’ve tried to demonstrate ROI through large-scale layoffs aimed at slashing labor costs and boosting short-term profits.
A new Gartner study challenges that approach, concluding that workforce reductions are an ineffective way to realize AI returns. The more successful strategy, according to the research, is retaining employees and redirecting them toward higher-value work.
The tension was captured in a recent Wall Street Journal headline: “AI Is Forcing CEOs to Make a Stark Choice: Lay Off Workers or Make Them Do More.” In practice, many leaders have chosen the former. This week alone, crypto platform Coinbase announced a 14% headcount reduction. It follows similar moves by Atlassian, Meta, and Amazon (roughly 10% cuts) and PayPal’s plan to eliminate up to 20% of its jobs over the coming years.
These cuts have heightened widespread anxiety about an “AI jobs apocalypse.” Concerns are likely to grow as AI spending surges—from $86.4 billion in 2025 to a projected $206.5 billion this year and $376.3 billion in 2027, according to Gartner.
Yet some executives are proving there’s a better path.
Gartner’s survey of 350 business executives reveals that organizations achieve superior AI returns not by eliminating people, but by amplifying them—investing in reskilling, redesigning roles, and creating operating models where humans guide and scale AI systems.
“Many CEOs turn to layoffs to demonstrate quick AI returns; however, this disposition is misplaced,” said Helen Poitevin, Distinguished Vice President Analyst at Gartner. “Workforce reductions may create budget room, but they do not create return. Organizations that improve ROI are not those that eliminate the need for people, but those that amplify them.”
What High-ROI Companies Are Doing Differently
While 80% of organizations piloting or deploying autonomous systems (such as AI apps and chatbots) used layoffs to offset costs, Gartner found no meaningful correlation between headcount reductions and better outcomes. Companies reporting high ROI from AI were just as likely to have cut staff as those seeing modest or poor results.
The real differentiator? Human amplification.
Leading organizations are using AI to automate repetitive, low-impact tasks, then redeploying employees to more strategic, creative, and value-creating work. Spotify, IBM, and Axon Enterprise are among the companies taking this approach, according to the Journal.
This stands in sharp contrast to leaders like Bed Bath & Beyond CEO Marcus Lemonis, who recently predicted AI would drive “a significant reduction in headcount.”
The Long Game Wins
Gartner’s findings suggest that short-term cost-cutting via layoffs delivers only temporary financial sugar highs. In contrast, companies that maintain talent and invest in new skills and roles build sustainable advantage.
“Long term, autonomous business will create more work for humans, not less,” Poitevin noted. Structural factors—such as demographic decline and the need for human judgment in high-stakes, trust-sensitive situations—will keep people central to scaling AI successfully.
Bottom line: AI’s greatest returns aren’t coming from fewer workers. They’re coming from better ones.