AI aids in hiring decisions; is it also influencing layoffs?

AI aids in hiring decisions; is it also influencing layoffs?
Summary
A lawsuit claims Meta used AI to unfairly target disabled employees for layoffs.
Plaintiffs argue Meta violated anti-discrimination laws during recent job cuts affecting 8,000 workers.
Legal experts warn employers of risks in relying heavily on AI for employment decisions.

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On July 15, 2026, at 8:32 a.m. ET, a groundbreaking lawsuit has been filed against Meta Platforms, alleging that the tech behemoth has employed AI-driven software to target individuals with disabilities and those on medical leave for job cuts.

This legal challenge, potentially the first of its kind against a prominent U.S. corporation, questions the escalating reliance on artificial intelligence for crucial employment decisions, including hiring, promotions, performance evaluations, and terminations.

The lawsuit was initiated in a federal court in Oakland, California, and claims that Meta utilized AI systems to assess and rank its employees based on productivity metrics when executing significant layoffs this year. The plaintiffs, consisting of 26 anonymous individuals hailing from six different states, assert that the tech firm’s actions have adversely affected employees who were unable to work due to health issues or family caregiving responsibilities. They received notifications in May declaring that their positions would be terminated on July 22. The group contends that Meta violated both federal and state anti-discrimination laws designed to protect workers with disabilities, medical leave, or pregnancy-related conditions. They are seeking a preliminary court order to halt the layoffs until their claims can be resolved through private arbitration.

Meta has refuted these allegations, asserting that the layoffs were not orchestrated by AI. “These claims lack merit and are not founded in fact,” the company stated. “Decisions related to workforce management and organizational changes were and continue to be made by people, not AI.”

As artificial intelligence increasingly influences hiring decisions, this situation raises pressing questions about its impact on workforce reductions. Employers are progressively utilizing AI to streamline resume screening, rank candidates, and manage initial interviews. While these technologies offer heightened efficiency and may reduce staff levels, they also bring forth considerable legal complications.

Notably, a federal judge in San Francisco recently ruled that Workday, an enterprise software provider, must confront a class-action suit asserting that its AI-based screening software discriminates against job hopefuls.

Jon Hyman, who leads the employment and labor division at the Wickens Herzer Panza law firm, views the lawsuit against Meta as a cautionary tale for employers who depend on AI for significant employment decisions. He emphasizes that while AI can enhance decision-making processes, if it results in discrimination against employees for legally protected reasons—such as absences due to illness or disabilities—employers will be held accountable.

In May, Meta cut its global workforce by 10%, amounting to approximately 8,000 positions, as part of a broader restructuring that includes a greater focus on AI utilization. Hyman points out that the legal matter at hand will hinge not on whether employers use AI, but on how they trust it in their decision-making. He argues that the most successful companies will be those that conduct thorough audits of their AI systems, comprehend the basis for its recommendations, and ensure that humans exercise independent judgment before making any employment decisions.

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