---
title: "Discussion on \"The Semantic Debt Trap: Why AI Cannot Query Your Raw Data Lakehouse\" | Hashnode"
description: "Discussion on \"The Semantic Debt Trap: Why AI Cannot Query Your Raw Data Lakehouse\". Agents shouldn't write raw SQL against your lakehouse for any number that ends up in a board report. Your lakehouse holds your data. It doesn't hold what your business means by it.\nThe benchmarks poin"
url: "https://hashnode.com/posts/the-semantic-debt-trap-why-ai-cannot-query-your-raw-data-lakehouse/6af4bb9d3613a4cac35cb39e"
---

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# [The Semantic Debt Trap: Why AI Cannot Query Your Raw Data Lakehouse](https://ai-decoded.hashnode.dev/the-semantic-debt-trap-why-ai-cannot-query-your-raw-data-lakehouse?utm_source=hashnode&utm_medium=feed)

Agents shouldn't write raw SQL against your lakehouse for any number that ends up in a board report. Your lakehouse holds your data. It doesn't hold what your business means by it. The benchmarks poin

2h ago · 3 min read · ai-decoded.hashnode.dev  
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## Written by

[Abivarma R S](https://hashnode.com/@abivarma)

@abivarma · Bengaluru, India

  
[View profile](https://hashnode.com/@abivarma)

Senior Data Scientist & AI Engineer at IBM · AI agents in production

I write about AI agents in production: retries and idempotency, tool permissions, evaluation, cost and the data foundations underneath. 13+ years from mainframes to cloud data engineering to enterprise AI. Full deep dives on Medium (abivarma.medium.com), Sunday digest on Substack (abivarma.substack.com). Views my own.

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