Twenty-six anonymous Meta employees have filed a lawsuit against the tech giant, accusing it of using inherently discriminatory AI-powered software systems in a massive round of layoffs that impacted 8,000 workers in May 2026. The layoffs, representing 10% of Meta's workforce, were part of an effort to offset the hundreds of billions of dollars the company plans to spend on artificial intelligence development.
According to the complaint filed in the Northern District Court of California, Meta did not rely on the considered judgment of managers who knew employees' work when assembling the termination list. Instead, the company allegedly used a constellation of internal artificial intelligence systems to score, rank, and select employees for inclusion on the layoff list.
The systems in question include an internal large language model assistant called Metamate, described as a 'second brain' trained on employee communications and documents; algorithmic productivity scores based on keystroke tracking, browser history, and email data; AI-assisted performance review tools; and internal records of AI token consumption. These tools were used to evaluate employees, but the lawsuit claims the metrics discriminated against those who had to miss work or produce reduced output due to a disability or protected medical or family leave.
The lawsuit states that Meta was allegedly made aware of the discriminatory impact of these systems but did not take necessary precautions, such as pausing the system for a more neutral review process. 'The result was that employees who took protected leaves were disproportionately selected for layoff, based on scoring that not only failed to account for their protected leaves, but in effect penalized the employees for exercising their legal rights to these leaves,' the complaint asserts.
Specific Cases Highlighted in the Lawsuit
The document provides several specific examples of employees affected by the alleged discrimination. Multiple employees selected by the system were on maternity leave at the time, including a scientist who was just two days away from giving birth. Another employee, a manager, was on approved pregnancy-related disability leave when she became the only person on her team selected for layoff. The lawsuit also mentions an engineer who was aware that employees who took paternity leave had been laid off in a previous round of layoffs in February 2025.
Legal Action and Meta's Response
The plaintiffs are now asking the court to block Meta from completing the layoffs scheduled for July 22, giving the employees time to pursue claims in private arbitration, as required by their employment contracts. The workers say Meta's agreements require employees to arbitrate workplace disputes individually, but do not apply to requests for temporary relief. A Meta spokesperson denied the allegations, stating, 'These claims lack merit and are not based on facts. Workforce management and organizational decisions were and are made by people, not AI.'
Broader Context: Meta's Layoff History
This lawsuit follows a previous workplace discrimination suit filed against Meta earlier in 2026, in which a former employee claimed older workers were disproportionately targeted in the company's February 2025 round of layoffs, which impacted 5% of its workforce. At that time, Meta said the layoffs were targeting its lowest performers. The current lawsuit also references that earlier round, noting that an engineer in the current case was aware of employees laid off while on paternity leave during the February 2025 cuts.
Meta's use of AI in human resources decisions has drawn increasing scrutiny. The company has invested heavily in artificial intelligence, including its large language model LLaMA and the integration of AI tools across its platforms. Critics argue that relying on algorithmic assessments can lead to unintended biases, especially when systems are trained on historical data that may reflect past discriminatory practices.
The lawsuit raises significant questions about the role of artificial intelligence in employment decisions. While companies argue that AI can help eliminate human bias by standardizing evaluations, experts caution that algorithms can perpetuate or even amplify existing biases if not carefully designed and monitored. The plaintiffs' legal team will need to demonstrate that Meta's AI systems directly caused the disparate impact on protected groups, a challenging standard in such cases.
The case also highlights the tension between arbitration agreements and requests for temporary injunctive relief. Many tech companies require employees to sign agreements that mandate individual arbitration for workplace disputes, but courts have sometimes allowed temporary relief to proceed when irreparable harm is alleged. The plaintiffs argue that the layoffs would cause them irreparable harm before their claims could be resolved through arbitration.
Industry observers are watching the case closely because it could set a precedent for how courts treat AI-assisted layoffs in the future. If the court grants the temporary restraining order, it would allow the plaintiffs to pursue their claims in arbitration without losing their jobs in the interim. A denial would mean the layoffs proceed, potentially making it harder for affected employees to pursue their claims.
Meta's AI practices have been under regulatory scrutiny globally. The company recently faced actions from the European Union over its use of AI in content moderation and data practices. This lawsuit adds another dimension to the debate over the ethical use of AI in corporate decision-making.
The plaintiffs are represented by a law firm specializing in employment discrimination cases. They have requested a hearing on their motion for a preliminary injunction as soon as possible, given the July 22 deadline for layoffs. A response from Meta's legal team is expected shortly.
This developing story continues to unfold, with potential implications not only for Meta but for the broader tech industry's reliance on artificial intelligence in human resources management. As AI systems become more prevalent in workplace evaluations, the balance between efficiency and fairness will remain a critical issue.
Source: Gizmodo News