Lawsuit Alleges AI-Driven Bias in Meta Layoffs
Twenty-six current and former Meta employees have filed a federal lawsuit accusing the company of using AI-powered systems that disproportionately targeted workers with disabilities or who had taken medical leave when selecting people for mass layoffs. The suit, filed Monday in Oakland, California, alleges that Meta relied on productivity metrics and AI token usage data when it cut roughly 8,000 jobs beginning on May 20, effectively penalising employees who had missed work for protected reasons. It appears to be the first lawsuit against a major US technology company to challenge the use of AI in conducting layoffs.
The 71-page complaint names a constellation of internal AI systems that the plaintiffs say Meta used to score, rank, and select employees for the termination list. Those included Metamate, a large language model assistant, along with employee-trained “second brain” agents, keystroke and activity monitoring data, AI token usage dashboards, and algorithmically assisted performance ranking. The plaintiffs argue that because the system relied on output metrics, it structurally disadvantaged anyone who had taken time away from work and therefore had fewer data points to measure.
All 26 plaintiffs filed anonymously and say they share one thing in common: each took, requested, or was approved for protected leave within the past 24 months. They come from six states including California, New York, Florida, Illinois, Pennsylvania, and Washington, plus the District of Columbia. Their claims include violations of the Americans with Disabilities Act, the Family and Medical Leave Act, the Pregnancy Discrimination Act, and state-level leave protections.
The lawsuit also alleges that Meta deployed a monitoring program earlier in 2026 that captured keystrokes, screen content, mouse activity, browser history, messages, emails, and location data from company-issued devices. The program was announced through what the complaint describes as a low-visibility internal post by an engineer rather than a senior leader, with no consent prompt on at least some teams. Data from the monitoring program was used to build AI tools, including by a new engineering organisation to which employees were reassigned on a mandatory basis, according to the complaint.
The plaintiffs are seeking a preliminary injunction to block their terminations, which are set to take effect on July 22, while they pursue individual claims in arbitration. They also allege that Meta failed to test its AI systems for bias in violation of recently adopted California and New York City laws that regulate AI in employment decisions. Judge William Orrick in the Northern District of California has been assigned to the case.
A Meta spokesperson said the claims lack merit, stating that workforce management and organisational decisions were and are made by people, not AI. The lawsuit arrives as courts and regulators around the world are grappling with how existing employment law applies when companies use algorithmic systems to make or inform decisions about who stays and who goes.
Background of Meta's Layoffs and AI Systems
Meta has undergone significant workforce reductions since late 2022, when CEO Mark Zuckerberg announced a “year of efficiency” that led to thousands of job cuts. The May layoffs were part of a broader restructuring aimed at flattening the organisation and shifting resources toward artificial intelligence and the metaverse. However, the company’s heavy reliance on internal AI tools to evaluate employee performance has drawn increasing scrutiny from workers and labor advocates.
The AI systems named in the lawsuit—Metamate, second brain agents, keystroke monitoring, AI token dashboards, and algorithmically assisted performance rankings—are part of Meta’s broader push to automate internal operations. Metamate, for instance, is a large language model assistant designed to help employees with tasks like writing code, summarising meetings, and generating reports. The “second brain” agents are custom AI tools trained on individual employees’ work habits and outputs, used to track productivity and generate performance scores.
Plaintiffs argue that these systems evaluate workers based on quantifiable outputs—such as the number of AI tokens invoked, keystrokes logged, or tasks completed—without accounting for time away from work due to medical leave, family care, or disability. As a result, employees who had missed work for protected reasons were more likely to be flagged as low performers, leading to their inclusion in the layoff list.
Legal and Regulatory Context
The lawsuit leverages recent laws passed in California and New York City that require companies to audit AI systems used in employment decisions for bias. California’s AI Transparency Act and New York City’s Local Law 144 mandate that employers conduct independent bias audits before deploying algorithmic tools for hiring, promotion, or termination. The plaintiffs claim Meta violated these laws by failing to test its layoff selection algorithms for disparate impact on workers with disabilities or those using protected leave.
The case also invokes the Americans with Disabilities Act and the Family and Medical Leave Act, which prohibit discrimination against employees who take legally protected leave. If the allegations are proven, Meta could face significant financial penalties and be required to reinstate terminated workers. Additionally, the Pregnancy Discrimination Act protects employees who take leave related to pregnancy or childbirth, which several plaintiffs allegedly did.
Implications for AI in the Workplace
This lawsuit is being closely watched by legal experts and tech industry observers because it is the first to directly challenge the use of AI in conducting layoffs at a major US technology company. Similar cases have been filed against companies like Amazon and Tesla, but those focused on hiring or performance evaluations rather than termination decisions. The outcome could set a precedent for how courts interpret existing employment laws in the age of algorithmic management.
Critics of AI-driven employee monitoring argue that such systems often amplify existing biases and unfairly penalise workers who take legitimate time off. They point to research showing that productivity metrics based on continuous activity can disadvantage women taking maternity leave, employees with chronic illnesses, or caregivers who need flexible schedules. Meta’s internal systems, which track everything from keystrokes to screen content, represent an extreme example of surveillance capitalism applied to the workplace.
On the other hand, proponents of AI in HR contend that algorithmic tools can reduce human bias if properly designed and audited. They note that manual layoff decisions are often influenced by subjective manager preferences, which can be just as discriminatory. The key, they argue, is transparency and accountability—requirements that the plaintiffs say Meta failed to meet.
What’s Next for the Plaintiffs and Meta
The plaintiffs have requested a preliminary injunction to prevent their terminations from taking effect on July 22 while their claims are heard in arbitration. The court has not yet ruled on that request. Meta has strongly disputed the allegations, with a company spokesperson stating that “workforce management and organisational decisions were and are made by people, not AI.” The company is expected to argue that the AI tools were just one of many inputs used by human managers.”
If the injunction is denied, the workers will be formally laid off but can continue pursuing individual arbitration cases. The lawsuit could also spur regulatory investigations by the California Department of Fair Employment and Housing and the federal Equal Employment Opportunity Commission. Meanwhile, Meta is likely to face pressure from shareholders and employees to review its internal AI practices and implement bias testing protocols.
The case highlights the growing intersection of artificial intelligence, employment law, and workers’ rights. As more companies adopt AI to manage their workforce, similar legal challenges are expected to rise. Courts, lawmakers, and regulators will need to balance innovation with protections for employees, especially those who require accommodations for health, family, or disability reasons. The ruling in this case could provide early guidance on how that balance is struck.