26 staffers sue Meta over AI‑driven layoffs targeting workers on medical, parental leave

In a significant legal development, 26 employees of Meta have filed a lawsuit against the tech giant, alleging that the company employed artificial intelligence systems to unfairly target workers for layoffs. The plaintiffs claim that the layoffs disproportionately affected those on medical, parental, or family leave, raising critical questions about the intersection of AI technology and employment law. This case comes in the wake of Meta's announcement in May that it would lay off approximately 8,000 employees, which constitutes about 10 percent of its workforce.

The lawsuit, filed in federal court in Oakland, California, accuses Meta of utilizing various internal AI systems, including keystroke and activity-monitoring data, AI token-usage dashboards, and algorithmically assisted performance rankings, to determine which employees would be laid off. The plaintiffs argue that these systems inherently disadvantage employees who are on protected leave due to medical or family reasons. According to the lawsuit, the metrics used to evaluate employee performance do not account for the reduced output of those on leave, thereby violating legal protections afforded to these workers.

The plaintiffs, all of whom have taken protected leave and requested reasonable accommodations for disabilities, assert that Meta's approach fails to adhere to legal requirements for individualized assessments. The lawsuit states that the company did not pause its evaluation systems to consider the unique circumstances of employees on leave, leading to a disproportionate selection of these individuals for layoffs. Although the 26 employees have been notified of their impending layoffs, they remain employed at Meta, with separations scheduled to begin on July 22.

Among the affected employees, many took pregnancy or parental leave, during which their work output would naturally decrease. Others utilized medical leave for serious health conditions, with one plaintiff revealing that he was discouraged from taking leave by a manager who warned that doing so could jeopardize his job security amid the layoffs. The lawsuit claims that Meta failed to provide necessary accommodations for this employee's disability, further exacerbating the situation.

In response to the allegations, Meta has stated that the claims lack merit and are not grounded in factual evidence, asserting that workforce management decisions were made by people rather than AI systems. The company noted that about half of the plaintiffs had taken leave for caregiving or pregnancy-related reasons, highlighting the gender dynamics at play in the layoffs. Eight of the plaintiffs are women who took maternity or pregnancy-related leave, while four are men who took parental leave. One plaintiff is a woman who took leave to care for a family member and subsequently for bereavement.

The lawsuit alleges that the layoffs violate several state and federal laws, including the Family and Medical Leave Act, the Americans with Disabilities Act, the Pregnancy Discrimination Act, and the Pregnant Workers Fairness Act. Furthermore, the complaint references the concept of “disparate impact liability,” which holds that employment practices can be discriminatory if they disproportionately affect a protected class of workers. This legal principle was notably deprioritized during the Trump administration, which argued that its enforcement undermined meritocracy and suggested that any workforce imbalance could be attributed to discrimination.

Despite the Trump administration's efforts to diminish the enforcement of disparate impact liability, the lawsuit against Meta illustrates that companies can still face legal challenges related to these issues in the era of AI. Workers retain the right to pursue litigation independently if their complaints are dismissed by the Equal Employment Opportunity Commission (EEOC), and several state laws explicitly prohibit disparate impact discrimination.

The plaintiffs' legal team contends that Meta's algorithmic selection process systematically penalizes employees for taking leave, thereby disproportionately affecting women, who are more likely to take time off for pregnancy and caregiving. The lawsuit invokes Title VII of the Civil Rights Act, which prohibits employment practices that have a disparate impact on protected groups, and references a landmark Supreme Court ruling from 1971 that recognized this doctrine.

The plaintiffs' lawyers have stated that the primary goal of the lawsuit is to preserve the employment status of the affected workers while the case undergoes arbitration. They emphasize that once the layoffs are finalized, the repercussions are irreversible, including the loss of employer-subsidized health coverage during critical periods such as pregnancy and recovery, the extinguishment of leave rights, forfeiture of unvested equity, and potential immigration consequences. This case not only highlights the legal complexities surrounding AI in the workplace but also raises important ethical considerations regarding the treatment of employees during vulnerable times in their lives.

Why it matters

The lawsuit against Meta serves as a crucial reminder of the potential pitfalls associated with the use of AI in employment decisions. As companies increasingly turn to technology to streamline workforce management, the implications for employee rights and protections become more pronounced. The allegations that AI systems may inadvertently discriminate against workers on medical or family leave highlight the need for careful consideration of how these technologies are implemented.

For creators and technologists, this case underscores the importance of ethical AI development. It raises questions about accountability in algorithmic decision-making and the necessity for transparency in how performance metrics are calculated and applied. As AI continues to evolve, the balance between efficiency and fairness must be carefully navigated to ensure that all employees are treated equitably, regardless of their circumstances.

Furthermore, the ongoing legal discourse surrounding disparate impact liability in the context of AI-driven layoffs may prompt a reevaluation of existing laws and regulations. As the workforce landscape changes, it is essential for technologists to engage with legal frameworks that protect workers' rights while also fostering innovation in AI applications. This case could potentially set a precedent for how AI is utilized in workforce management, emphasizing the need for responsible and inclusive practices in the tech industry.