In December 2025, Amazon's cloud service experienced a notable 13-hour outage affecting a tool used by customers to analyze AWS spending. This disruption was attributed to user error related to the use of the Kiro AI coding assistant, which had been granted extensive permissions. Reports indicated that engineers allowed Kiro to autonomously address an issue, leading the system to delete and recreate an environment instead of following conventional protocols requiring human intervention. This incident marked the second time within a few months that an AI tool was directly linked to a service disruption, raising concerns among employees regarding the rapid deployment of such technologies. Despite the setbacks, Amazon defended its AI initiatives, clarifying that the outages were due to user error rather than flaws in the AI technology itself. The company emphasized that the same errors could arise from any manual developer actions, asserting that it was a coincidence that AI tools were involved. The internal review concluded that while the Kiro AI tool had been treated as an extension of the engineers, broader permissions had led to the incidents rather than a failure in AI autonomy. Following these disruptions, Amazon implemented various safeguards to enhance the reliability of its AI tools and ensure proper oversight. Countering skepticism within the company regarding the efficacy of AI in programming tasks, Amazon's leadership reiterated its commitment to integrating AI tools into everyday operations, aiming for 80 percent of developers to engage with AI for coding tasks weekly. While acknowledging employee concerns, Amazon noted that adoption rates for Kiro remained high, and the company aimed to generate efficiency gains from its AI capabilities. The situation underscored the importance of balancing innovation with risk management as AWS continues to build and deploy autonomous AI systems. The December incident and subsequent reviews reflect an ongoing dialogue within Amazon about maintaining accountability and control when integrating advanced AI solutions into critical infrastructure operations. Despite the challenges, AWS is betting on the potential growth and increased customer dependency on AI-driven coding tools as part of its broader strategy in the competitive technology landscape.