Agents Drive AI Costs Up, Data Layer Is Fix

Agentic AI is exposing a flaw in how companies budget for artificial intelligence. A Cisco study cited by Couchbase SVP Tim Finley found agents generate 450% more traffic per task than humans, straining databases built for human usage patterns. To manage costs, companies are downgrading to cheaper models, sacrificing quality. Couchbase's expanded AI Data Plane addresses this with semantic caching that cuts model calls by 40-60%, Agent Memory reducing token usage by 33-45%, and vector search in its analytics engine enabling multi-system queries in a single SQL call, reducing data staleness and latency across agentic workflows.