pidus

🦔An internal Amazon document obtained by Business Insider reveals that AI is making the company's existing tool duplication problem significantly worse. Teams are spinning up AI-powered applications so quickly that overlapping systems are proliferating faster than they can be consolidated. When AI ingests internal data and converts it to new formats, those outputs are stored separately from the original source, meaning if the original data is deleted or access is restricted, derived versions persist. In one documented case, a system called Spec Studio continued displaying software details that had been made private in Amazon's internal code repository. Amazon's proposed solution to the AI sprawl problem is more AI. My Take This document is the organizational context underneath the AWS outage story from December, where an AI tool deleted an entire production environment while fixing a minor bug and took 13 hours to recover. That kind of failure is what happens when you've layered AI tools on top of AI tools inside a company where teams are independently spinning up systems faster than anyone can track them, where derived data persists after the source is restricted, and where the culture of autonomous two-pizza teams means nobody has full visibility into what's actually running. Mandating AI adoption without the governance infrastructure to manage it produces exactly what Amazon's document describes. The speed at which AI lowers the barrier to building new tools is being treated as a feature while the document makes clear it compounds in both directions, more duplication being created faster and less of it being cleaned up. Amazon's answer to the AI sprawl caused by AI is more AI, which is also exactly what they proposed after the December outage. At some point that stops being a strategy. Hedgie🤗

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