AI agents don’t just add database load – they change its shape. This article explains the three new patterns: compression, expansion and recursion.
AI Agents Don’t Just Add Load. They Change Its Shape
Tag: Databases and Agentic AI
Databases were built for humans – users who read, think, and act with natural pauses between each step.
Agentic AI removes those pauses. It introduces continuous, high-frequency interaction with systems of record, often at a scale and speed those systems were never designed to handle.
This series explores what happens when those two worlds collide – what breaks, what changes, and what new architectural patterns begin to emerge.
AI Can Replace Interfaces, Not Systems of Record
AI can replace interfaces but not systems of record. The database commit is where intent becomes enterprise reality – and that boundary matters more than ever.
The Hidden Cost of Letting AI Agents Query Live Systems
AI agents querying live databases generate unplanned load that breaks enterprise performance assumptions. This article explains the hidden cost for systems of record.
The Cloud Is Built on Uniformity. Databases Are Not
Cloud infrastructure assumes workloads are uniform. Enterprise databases are the exception – and AI is making that tension more visible than ever.
Why We Spent 20 Years Protecting Databases from Analytics (and Why AI Just Broke That Truce)
For two decades, DBAs protected production databases from analytics workloads. AI agents have ended that truce and the consequences go deeper than most realise.
AI Doesn’t Read Dashboards… and That Changes Everything for Databases
AI agents bypass dashboards and query databases directly. This article explains what that means for the architecture of enterprise data systems and systems of record.
Databases Were Built for Humans – AI Agents Change the Equation
Databases were designed for human-paced interaction – sessions, think time and deliberate intent. AI agents remove all three assumptions simultaneously.
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