Over 1,100 employees from leading AI firms, including OpenAI, Anthropic, Google, and Meta, have signed a letter urging the U.S. government to "deliberately pace" AI development. This unprecedented move highlights growing concerns about the rapid advancement of artificial intelligence and its potential risks.
The petition, signed by engineers, researchers, and policy staff, argues that AI is advancing faster than businesses can understand or safely deploy it. The signatories request that the U.S. government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.
This call for a slowdown follows similar appeals from other AI companies. In June 2026, Anthropic, the company behind the Claude family of AI models, suggested a global pause on building the most powerful AI systems. They warned that rapid advancements could lead to AI systems improving themselves faster than society can control the risks.
The concerns raised by these industry leaders are not without merit. A recent survey by digital transformation firm Adaptavist revealed that about 65% of office workers expressed a preference for the pre-AI era, and 38% said they would eliminate generative AI entirely if given the chance. Frustration is particularly high among younger workers, with 40% of Gen Z and Millennials desiring to remove AI tools, compared to lower percentages in older generations.
The rapid integration of AI into various sectors has led to significant workforce changes. Major firms like Meta, Oracle, and Google have laid off thousands, while simultaneously recruiting elite AI talent, creating a high-pressure environment described as the "AI Hunger Games." Burnout is rampant, with engineers overworking to keep up, and even social events being hijacked by constant AI monitoring.
As AI continues to evolve, the debate over its development pace is intensifying. The recent petition underscores the need for a balanced approach that considers both the potential benefits and risks associated with rapid AI advancements. The outcome of this call for a slowdown could significantly influence the future trajectory of AI development and its integration into society.