Reinvest in People, Not Just Automation

A recent Gartner survey reveals a counterintuitive trend: most large enterprises that have implemented AI initiatives have also reduced their workforce (80% with reductions averaging 1%-15%), yet these layoffs show no correlation with actual return on investment.

According to digital workplace analyst Helen Poitevin, the common perception that AI-driven productivity gains naturally lead to ROI through headcount reduction appears unfounded. “Enterprises reporting significant ROI from automation have laid off workers at a similar pace as those seeing modest or even negative returns,” she notes.

The Real Path to AI Value

The research suggests that companies achieving the highest ROI with AI are not replacing employees but rather investing in their upskilling. By enabling current staff to build and manage their own AI solutions, organizations unlock greater innovation and value creation.

“We’re seeing that the most successful AI implementations amplify human capabilities rather than replace them,” Poitevin explains. “Companies leading in ROI have already begun creating new roles—like ‘AI orchestrators’—to manage these autonomous systems effectively.”

Beyond Short-Term Gains

While layoffs might offer immediate cost savings, they risk sacrificing the institutional knowledge and expertise that AI needs to truly thrive. As CTO Brian Behe of cybersecurity vendor RIIG Technology points out: “The organizations getting real returns are the ones that took people who understood their business deeply and gave them AI tools to do more with that knowledge.”

Looking ahead, Gartner predicts that AI will ultimately create more jobs than it displaces—particularly in new roles focused on managing, optimizing, and integrating these systems into existing workflows. The key takeaway? Investing in your workforce is not just a social responsibility but also the smartest strategy for maximizing AI’s potential.