Companies start rehiring workers after AI-driven layoffs, survey finds
A survey reported by WFAA reveals that some companies that let go of employees citing AI adoption are beginning to bring staff back, pointing to a labor adjustment cycle more complex than initially expected.
By WFAA · June 26, 2026.
The WFAA article, from the ABC affiliate station in the Dallas-Fort Worth area, reports the results of a survey indicating that several companies are beginning to rehire workers who had been laid off in waves of staff cuts attributed to AI automation.
The available material is limited —the article corresponds to a news video without a fully accessible transcript—, so it is not possible to detail the exact name of the survey, the sample, the affected sectors or the specific rehiring figures without risk of hallucination. What is clear in the headline and the RSS description is the direction of the phenomenon: AI-related employment movement is not one-directional.
In general, as sector context, since 2023 numerous large technology and services companies justified staff cuts —in part— by the ability of AI tools to take on tasks previously performed by humans. However, subsequent research and labor-market analysis have shown that many of those same companies continued to post job openings in areas related to AI, agent management, prompt engineering and human oversight of automated systems.
The pattern this news suggests —layoff followed by rehiring— is consistent with what some labor economists have called 'skills adjustment': companies eliminate positions whose tasks are automatable and, after a transition period, again need people with different profiles capable of operating, supervising or improving those same AI systems.
For agentic AI in particular, this cycle has direct implications: autonomous agents can execute entire workflows, but they require human oversight, auditing, prompt maintenance, integration with legacy systems and error management. Those responsibilities generate new roles that did not exist before automation.
Without access to the full text of the article or to the data of the cited survey, it is not possible to go deeper without risk of inaccuracy. Readers are advised to consult the source directly at WFAA to obtain the complete sectoral and methodological breakdown.