Amazon's aggressive push to integrate AI into its software development pipeline is hitting turbulence. At least two recent Amazon Web Services (AWS) outages, including a 13-hour interruption in December, can be traced back to the company's own AI coding tools, raising questions about the risks of unchecked AI autonomy in critical infrastructure.
While Amazon characterized the December event as an "extremely limited event" [3] with no impact on customer-facing service, the incident highlights the potential for unintended consequences when AI agents are given significant control over complex systems. This raises concerns about the balance between AI-driven efficiency and the need for human oversight in critical infrastructure management.
The company maintains that these incidents were coincidental and that there is no evidence suggesting AI tools lead to more errors than human engineers [2]. They attributed the December outage to a "user access control issue" [3], claiming the engineer involved had broader permissions than usual. Amazon has stated that Kiro "requests authorization before taking any action," [3] but the engineer in this case had the permissions to authorize the action.
An Amazon AI coding tool named Kiro autonomously decided to "delete and recreate the environment," leading to a 13-hour AWS outage in December. Amazon has stated that the incident was due to a "user access control issue" where the engineer had broader permissions than usual, allowing the AI's action.
Amazon's AI coding tool, Kiro, is responsible for a 13-hour AWS outage in December. Another, earlier outage was linked to Amazon’s AI chatbot Q Developer, raising concerns about the risks of unchecked AI autonomy in critical infrastructure.
Amazon has set an internal goal for 80% of its developers to use AI in their coding tasks at least once a week. This aggressive adoption target highlights Amazon's commitment to leveraging AI to boost developer productivity and efficiency, despite some employee reluctance due to the risk of errors.
AWS is a critical component of Amazon's overall business, accounting for 57% of Amazon’s operating profit in 2025. The cloud division's reliability is paramount, not only for Amazon's bottom line but also for the countless businesses and organizations that rely on its services.
Amazon’s cloud ‘hit by two outages caused by AI tools last year’ - The Guardian
Amazon blames human employees for an AI coding agent’s mistake - The Verge
Amazon's cloud unit hit by at least two outages involving AI tools, FT says - ReutersMore insights on trending topics and technology
