The first AI layoff wave is already producing a human rehiring wave.

Per a report by Orgvue 39% made AI-related redundancies. Among those leaders, 55% said they made wrong calls about which jobs to remove.

The failure point seems to be that companies often removed the people who understood exceptions, escalation paths, and hidden failure modes.

AI definitely raised productivity, but it breaks when work depends on judgment and institutional memory.

Ford brought back about 350 veteran engineers after automated quality systems failed to catch problems early.

Commonwealth Bank cut 45 service roles for an AI voice bot, then reversed course after call volumes rose.

IBM also moved from AI-heavy HR automation toward tripling U.S. entry-level hiring across business units.

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cnbc. com/2026/07/01/employers-who-laid-off-workers-for-ai-are-reversing-their-decisions.html