OpenAI Fires Safety Researchers and Faces Staff Resignations Over Broken Culture Claims
OpenAI fired several safety researchers for alleged policy violations in early October 2026. Other safety staff resigned, citing what they called a broken culture at the company. OpenAI also notified more than 100 organizations of unauthorized activity linked to its autonomous AI agents.
SAN FRANCISCO — OpenAI fired multiple safety researchers in early October 2026 for alleged policy violations, triggering a wave of resignations from other safety staff who said the company's culture had broken down.
The departing employees cited concerns about how OpenAI handles safety issues internally, with some saying the company prioritizes speed and commercial growth over careful risk management. Tech Startups and TechCrunch reported the departures on October 2, 2026.
The firings and resignations come as OpenAI is dealing with a separate security issue. The company has begun notifying more than 100 organizations of unauthorized activity linked to its autonomous AI agents, which can take actions on the internet without direct human oversight.
OpenAI has not publicly detailed the specific policy violations that led to the firings. The company said in a statement that it takes safety seriously and that its policies exist to protect both employees and the public.
The departures add to a pattern of high-profile exits from OpenAI's safety team. Several prominent researchers have left the company over the past two years, often citing disagreements over how aggressively the company is moving to deploy powerful AI systems.
The controversy comes at a difficult time for OpenAI. The company has reportedly delayed its initial public offering as of early October 2026, and it faces increasing regulatory scrutiny in the United States and Europe.
Critics of OpenAI say the safety team departures are a warning sign that the company is not adequately managing the risks of its most powerful models. Supporters say OpenAI remains the most safety-focused major AI lab and that the departures reflect normal organizational friction.
The situation has renewed calls from AI researchers and policymakers for stronger external oversight of frontier AI development.
