# Agentic AI Workloads Increase Demands on Database Infrastructure

DevFeed: [Agentic AI Workloads Increase Demands on Database Infrastructure](<https://devfeed.tech/articles/why-agentic-ai-is-outrunning-your-database-and-how-to-catch-up-fast-23826.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/why-agentic-ai-outrunning-database>)

Author: Jeff Cotrupe

Published: 2026-01-20T00:00:00Z

Content type: opinion

Language: en

Sources: [Cockroach Labs](<https://devfeed.tech/sources/cockroach-labs.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Data Infrastructure](<https://devfeed.tech/topics/data-infrastructure.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [Availability](<https://devfeed.tech/topics/availability.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [availability](<https://devfeed.tech/tags/availability.md>), [databases](<https://devfeed.tech/tags/databases.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [scalability](<https://devfeed.tech/tags/scalability.md>)

## AI overview

An opinion article arguing that agentic AI systems generate continuous autonomous activity that can increase pressure on APIs, databases, and other data infrastructure. It contends that availability, consistency, scalability, and cost efficiency become critical under sustained agent-driven workloads.

## Source excerpt

Over the past year, it's become increasingly clear that the most consequential change in AI isn't happening in models -- it's happening in volume. As agentic systems move from experimentation into production and autonomy, autonomous activity is beginning to rival, and poised to exceed, human-driven traffic across the internet. That shift changes the economics and the physics of software.