# AI workloads expose bottlenecks in traditional PostgreSQL database designs

DevFeed: [AI workloads expose bottlenecks in traditional PostgreSQL database designs](<https://devfeed.tech/articles/ai-scale-has-no-time-for-postgres-bottlenecks-23747.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/ai-scale-postgres-bottlenecks>)

Author: Becca Weng

Published: 2026-03-10T00:00:00Z

Content type: article

Language: en

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

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>), [Databases](<https://devfeed.tech/topics/databases.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [database](<https://devfeed.tech/tags/database.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [scale](<https://devfeed.tech/tags/scale.md>)

## AI overview

The article discusses survey findings that 30% of leaders identify the database as the first point of failure in AI overload scenarios. It argues that AI workloads create sustained concurrency, global availability demands, continuous writes, retries, and compounding growth that can strain traditional PostgreSQL designs.

## Source excerpt

30% of leaders say the database is the first point of failure in AI overload scenarios. That is not because teams chose the wrong cloud. It is not because they miscalculated capacity. It is because most traditional databases were built for a different era of computing. They were designed around vertical growth, predictable traffic, and human-paced interaction. AI breaks all three assumptions at once.