Sama Cuts 1,108 Jobs as Former Meta Contractor Faces Industry Downturn Sama, the data annotation company that previously worked as a contractor for Meta, announced major workforce reductions on April 16, 2026, eliminating 1,108 positions primarily at its Kenya operations. The layoffs represent one of the largest job cuts in the African tech sector this year, highlighting the continued volatility in the artificial intelligence services industry. The San Francisco-based company, which specializes in data annotation for artificial intelligence training, confirmed the layoffs affect more than 1,000 workers in Kenya, where Sama operates significant content moderation and data labeling facilities. The cuts come as the company restructures its operations amid changing demand patterns in the AI services market. ## Context of the Decision The Sama layoffs reflect broader challenges facing AI training companies as major tech platforms increasingly develop in-house capabilities. The company's previous relationship with Meta, which ended in 2022, had been a significant revenue driver. Since losing that contract, Sama has struggled to replace the substantial income stream while competing with automated solutions that reduce demand for human data annotation services. Industry analysts point to oversaturation in the data labeling market, where numerous companies expanded rapidly during the AI boom but now face declining margins and fewer large-scale contracts. The shift toward more sophisticated machine learning models that require less human intervention has further pressured traditional data annotation providers. Rising operational costs in Kenya, combined with currency fluctuations and increased competition from lower-cost providers in other regions, contributed to the decision. The company had been evaluating its workforce structure for months as client demand shifted toward more specialized, higher-value services. ## Impact on Operations The workforce reduction primarily affects Sama's Nairobi and Kakuma operations, where the company employed thousands of workers for content moderation and data labeling projects. The layoffs span multiple departments, including quality assurance teams, project coordinators, and frontline data annotation specialists. Sama's Kenya facilities had been central to its business model, providing cost-effective human intelligence services for AI training datasets. The significant reduction suggests the company is pivoting away from labor-intensive operations toward more automated or higher-margin services. The cuts will likely impact Sama's capacity to handle large-volume projects, potentially affecting existing client relationships and the company's ability to compete for major contracts. Local economic effects in Kenya are expected to be substantial, given the scale of the layoffs in a region where formal employment opportunities remain limited. ## Company Financial Background Sama has faced financial pressures since losing its lucrative Meta content moderation contract in 2022. The company, founded in 2008 as Samasource, had built its reputation on providing "digital work that dignifies" through its impact sourcing model, employing workers in developing countries for technology services. The organization previously raised significant funding from impact investors and traditional venture capital firms, but revenue declined sharply after major client departures. Recent financial reports indicated the company was burning through cash reserves while attempting to diversify its client base and service offerings. Management had been exploring strategic alternatives, including potential partnerships or acquisition opportunities, but the challenging market conditions for AI services companies limited options. The layoffs appear designed to extend the company's runway while leadership pursues new business models or potential buyers. ## Industry Outlook The data annotation sector faces unprecedented disruption as artificial intelligence capabilities advance. Companies like Scale AI and Labelbox continue to grow, but traditional labor-intensive providers struggle with margin compression and automation threats. Recent industry consolidation has seen larger players acquire smaller competitors or specialized capabilities, while others have pivoted toward synthetic data generation or automated labeling tools. The trend suggests the market is maturing beyond simple human annotation services toward more sophisticated AI training solutions. Major technology companies increasingly prefer working with fewer, larger vendors that can provide comprehensive AI development services rather than specialized annotation providers. This shift disadvantages companies like Sama that built their business models around specific, labor-intensive services. ## Conclusion The Sama layoffs signal continued upheaval in the AI services industry as companies adapt to changing technology and market demands. While the cuts are significant for affected workers and the broader Kenyan economy, they reflect necessary adjustments as the data annotation sector evolves beyond traditional human-powered models toward more automated and specialized services.