The Wikimedia Foundation (WMF) sparked a revolt among Wikipedia volunteers on May 20 when it disbanded its Community Tech team, eliminating five engineering roles and one manager as part of a restructuring the foundation attributed to months of internal review. The six-person team was responsible for acting on editor requests through the Community Wishlist program and maintaining the moderation tools, bug fixes, and workflow improvements that volunteers rely on to run the encyclopedia. More than 800 editors, including around 50 administrators, have since signed a petition committing to collective action if it goes ahead, making it the fourth most-signed petition on the platform within a week. Tactics discussed on Wikimedia’s internal forums range from editing strikes and suspending volunteer vandalism cleanup to replacing the foundation’s fundraising banners with messages criticizing the layoffs — and more extreme proposals include technically blocking those donation banners outright or locking Wikipedia’s databases to write access.
The WMF denied that the restructuring is connected to the formation of Wiki Workers United (WWU), a new employee union that began organizing in early 2026 with demands including consistent hiring and layoff practices and employee involvement in annual planning. “The decision to disband the Community Tech team is not in any way connected to discussions about unionizing, nor have we terminated any staff for their participation in those discussions,” a spokesperson told The Register. The foundation said all six affected staff remain employed and may apply for other positions; it apologized for “communication errors” and committed to working with the volunteer community on a new process for handling technical requests. The WMF recorded revenues exceeding $200 million in its 2025 financial year, holds nearly $300 million in reserves, and increasingly derives revenue from Wikimedia Enterprise — its paid API for business customers — and from licensing Wikipedia’s content to AI companies for model training.