The Lakehouse Wasn’t Built for AI Agents
I have spent a good chunk of the last few years building and defending medallion lakehouses. Bronze, silver, gold, the whole ritual. And honestly, it works. It is a genuinely good pattern for turning messy operational exhaust into something a BI team can trust. But somewhere around the third time I watched an AI agent try to "just query the warehouse" and quietly hallucinate a metric that did not exist, I started to suspect the lakehouse, as we currently build it, was not designed for what we are now asking it to serve: autonomous agents that plan, call tools, write back results, and sometimes act without anyone checking each step.
The lakehouse was built for a different question
A traditional lakehouse assumes a human sits on the other end of every request. Someone opens a BI tool, someone schedules a dbt job, someone decides which report needs refreshing this morning....
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