Internal mobility beats external hiring in AI workforce shifts

As artificial intelligence reshapes job architectures at unprecedented speed, many organizations are defaulting to a familiar playbook: hire externally to fill emerging skill gaps. But this reflex is proving expensive—and counterproductive.

New research from the Adecco Group and LHH reveals that 73% of HR leaders at organizations tracking rehiring costs say the fire-and-rehire cycle is more expensive than redeploying existing talent. The finding challenges conventional wisdom about how to navigate AI-driven workforce transformation, particularly as the World Economic Forum projects 170 million new jobs will be created by 2030 while 92 million are displaced.

Why it matters

The cost of external hiring extends beyond recruitment fees. Organizations pay twice: first through lost institutional knowledge and team instability, then again through the expense of sourcing replacement talent. This cycle also erodes trust among remaining employees who see colleagues let go while hearing promises of support that often lack clear, accessible pathways.

The hidden cost of looking outside

According to the 2026 Redeployment and Outplacement Trends Report, which surveyed more than 8,000 white-collar workers and 3,000 HR leaders, AI and digital transformation have become top drivers of layoffs, cited by 22% of HR leaders. Yet 77% of these same leaders believe more effective internal mobility programs would reduce the need for layoffs.

The gap between belief and action is stark: more than half of HR leaders say they lack the infrastructure to execute targeted redeployment strategies.

In China, where skill mismatches have intensified under AI's impact, the share of jobseekers ending up in roles misaligned with their skills rose from 52% to 64.9%, according to the National School of Development at Peking University. Experts from the Development Research Center of the State Council point to a growing disconnect between technological change and workforce adaptation capacity.

The trust deficit

The Adecco Group's Business Leaders Global Report highlights a troubling disconnect between employee readiness and organizational preparation. Nearly three-quarters of non-line managers report being ready to work with AI agents, yet only 36% of leaders say their talent strategy demonstrates that AI will create opportunities rather than eliminate jobs. Just 22% express high confidence in developing the digital capabilities their workforce needs.

This gap leaves employees asking not only whether their jobs will exist, but whether their work will continue to matter—a question that quietly erodes engagement when left unanswered.

What works instead

Leading organizations are demonstrating alternatives. JD.com in China has prioritized internal redeployment and reskilling over layoffs, helping blue-collar workers upskill in robotics maintenance and smart warehouse operations. Streaming service Tubi enables employees to transition across roles and relocate internationally with immigration support, while encouraging staff to build internal AI agents to optimize workflows.

These examples illustrate that the ability to reskill and redeploy talent at scale is becoming a defining organizational capability in AI transformation. The approach creates a stronger psychological contract: as work changes, employees gain visibility into where the business is heading, what capabilities matter, and how they can grow alongside it.

The next great hire may already be on the payroll. The challenge is building systems to identify, develop, and retain that talent before looking elsewhere.

These findings were first reported by the World Economic Forum and the Adecco Group.