Nearly 70% of US government agencies use generative AI

According to current data, about 70% of US government agencies have already integrated generative AI-based tools into their workflows. The widespread adoption of these technologies has led to increased activity from labor unions, which are seeking to protect employees from risks associated with automation and algorithmic management.

Public sector unions have begun actively including clauses on protection against AI surveillance and automated layoffs in collective bargaining agreements. In Oakland, a strike led to the replacement of staff reduction plans with personnel retraining programs. In Ohio, a transit union secured veto power over the use of autonomous vehicles, and in California, a legislative ban was introduced on the use of employee monitoring systems known as "bossware."

These measures reflect an attempt to balance the implementation of generative AI with the preservation of workers' rights. With most agencies already using neural networks to optimize tasks, legal safeguards are becoming a key tool for preventing the unchecked influence of algorithms on personnel policy.

For public sector employees, this means a transition to formalized rules for interacting with AI systems. Such precedents are creating a foundation for future labor standards in an era of widespread automation of government services.