Layoffs Don't Deliver AI Returns, Gartner Study Finds
Organizations that cut staff to fund AI adoption are not seeing the financial returns they expect. A new Gartner report shows that roughly 80% of companies deploying AI have reduced their workforce, yet those gains don't correlate with better results.
Companies reporting strong returns from AI have nearly identical workforce reduction rates as those seeing modest or negative outcomes. This suggests layoffs are not the path to profitability.
Helen Poitevin, distinguished VP analyst at Gartner, said the approach is flawed. "Workforce reductions may create budget room, but they do not create return," she said. "Many CEOs turn to layoffs to demonstrate quick AI returns; however, this disposition is misplaced."
Upskilling Drives Better Results
Organizations that invest in training their existing staff generate stronger ROI from AI systems. The difference lies not in eliminating roles, but in amplifying human capability.
"Organisations that improve ROI are not those that eliminate the need for people, but those that amplify them by aggressively investing more in skills, roles, and operating models that allow humans to guide and scale autonomous systems," Poitevin said.
The timing of workforce decisions matters. Experts warn against cutting headcount before AI systems are proven in production. Anticipating benefits that haven't materialized yet creates risk rather than efficiency.
Long-Term Job Growth Expected
Autonomous business-the next wave of transformation after digital business-will likely create more work than it eliminates between 2028 and 2029, according to Gartner.
Demographic decline and the need for human judgment in high-stakes decisions will keep talent central to running and scaling these systems. The skills required will shift, but the demand for people will not disappear.
For HR leaders, the implication is clear: the organizations winning with AI are those investing in their workforce, not abandoning it. Learn more about AI for CHROs and how to align talent strategy with technology adoption.
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