TLDR Tech / Data
The pipeline tax is breaking enterprise AI at agent scale
Enterprise AI is hitting a “pipeline tax”: moving data through warehouses, lakehouses, vector DBs, RAG layers, and orchestration stacks adds latency, governance drift, and audit pain, with data copied up to 4 times and regulated answers taking weeks to reconstruct. The emerging solution is to bring agents to the data and make governance native to the data layer, with SQL database, MCP, and Iceberg as core pieces. The same shift is reframing migration as a continuous AI-driven capability rather than a one-off project.
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