Reports of a mandatory internal meeting at Amazon to address a series of system outages, some linked to AI-assisted coding, have drawn commentary from prominent tech figures, including Elon Musk. The e-commerce behemoth reportedly convened a “deep dive” into these disruptions, with internal communications cited by the Financial Times pointing to a “trend of incidents” over recent months. These events, described as having a “high blast radius,” were attributed in part to “Gen-AI assisted changes,” alongside other contributing factors.
Earlier this month, Amazon’s digital storefront experienced significant downtime, impacting an estimated 22,000 users, according to outage tracker Downdetector. Customers found themselves unable to complete purchases, view product pricing, or access their account information. At the time, the company attributed this particular incident to a “software code deployment.” The recent meeting and its underlying causes have sparked discussion among cybersecurity experts regarding the potential risks inherent in the rapid deployment of artificial intelligence tools within critical infrastructure.
Lukasz Olejnik, a cybersecurity consultant and a visiting senior research fellow at King’s College London’s Department of War Studies, highlighted the situation publicly, stating that Amazon was holding a mandatory meeting about AI disrupting its systems. This prompted a response from Elon Musk, who has previously forecasted that AI will render coding obsolete by 2027. Dave Treadwell, Amazon’s senior vice president of e-commerce services, reportedly communicated internally that the weekly “This Week in Stores Tech” (TWiST) meeting would be utilized to establish additional safeguards for AI use among engineers. This could include requiring more experienced engineers to approve AI-assisted modifications made by junior and mid-level personnel. Treadwell noted in an internal email, “Folks, as you likely know, the availability of the site and related infrastructure has not been good recently.”
However, an Amazon spokesperson provided a different perspective to Fortune, characterizing the TWiST meeting as a routine weekly operational review for retail technology teams and leaders to assess performance. The spokesperson confirmed that a review of website and app availability would be part of the agenda, aligning with a focus on continuous improvement. The company also clarified that Amazon Web Services (AWS) was not implicated in the reported incidents. Furthermore, Amazon stated that only one incident discussed was related to AI, and none involved purely AI-written code. The company also pushed back on the notion that junior and mid-level engineers are currently required to seek senior approval for AI-assisted changes.
Despite these clarifications, the broader question of responsible AI integration remains a significant point of discussion. Olejnik emphasized that while AI tools, such as Amazon’s AI assistant Q, can accelerate the coding process and increase output, this efficiency might come at the expense of established systems for code development, review, and deployment. Such disruption could potentially heighten the vulnerability of platforms to outages. Olejnik articulated his stance, stating, “I’m not making an argument against deployment of AI. There isn’t any. It can’t be stopped. Everybody is going to deploy AI. It’s an argument against speed for its own sake or using AI for the sake of using AI.”
The context for these discussions includes Amazon’s ongoing efforts to streamline operations. The company initiated thousands of layoffs last year, continuing into the current year with an additional 16,000 staff reductions in January, citing goals of increased efficiency and cultural alignment. Concurrently, Amazon has significantly increased its investment in AI, with projected capital expenditures of $200 billion in 2026, up from $131 billion in 2025. Olejnik warned against an overly rapid transition from human-centric coding to AI-driven systems, suggesting it could lead to overlooked safety protocols, prolonged downtime, or even data loss. He concurred with Musk on the necessity for meticulous attention to AI deployment in technology, stating, “AI brings a lot of opportunities, but there’s a middle ground between going to obsolescence due to not using AI, and blowing up businesses due to ill-judged deployments.”
