An AI revolution is sweeping through the IT storage world, providing a massively beneficial environment requiring more data to be stored and delivered to AI models and agents, more data to be protected, more data access governance and much better storage operating environments. The downside is that AI can run amok, with data mishaps and deliberate agent-enhanced attacks. We are using AI to make things better and need AI to prevent AI itself from making things worse.Forty-four months ago, when ChatGPT was released, the storage world began an irreversible migration into the AI era. The technology developments needed to provide fast data access to the favorite AI processor, the GPU, revolutionized the NAND and SSD suppliers, the flash array hardware and software vendors and the HPC/supercomputing world.The old and relatively steady, pre-ChatGPT era Dell, HPE, and NetApp-dominated enterprise storage array business met a set of new vendors growing fast, coming from the all-flash array and HPC worlds. Vendors such as DDN, Pure Storage, VAST Data, and WEKA grew rapidly as parallel data access became a key software technology, alongside disaggregated storage array designs, increased use of unstructured data, the rapid growth of analytics, and the emergence of AI-focused data lakes such as Databricks and Snowflake. A whole new public cloud sector emerged: the GPU-as-a-Service neoclouds, such as CoreWeave and Lambda.