The Overhead

A company adds AI agents to eight features. Its observability bill quintuples. The fastest-growing cost in the AI stack is not inference, not infrastructure, not talent. It is the cost of watching. A mid-size engineering team runs fifty microservices. Its observability bill — logs, traces, metrics — is fifteen to twenty-five thousand dollars a month. Then it deploys AI agents across eight features. Same infrastructure. Same team. The bill jumps to eighty to a hundred and fifty thousand dollars a month. A four-to-eight-fold increase from adding AI to a fraction of the system. The numbers come from OneUptime's March 2026 analysis of enterprise observability costs. Before agents: two terabytes of logs per month, five hundred million spans, ten thousand metric series. After agents: twelve terabytes of logs, four billion spans, forty-five thousand metric series. The infrastructure didn't grow. The telemetry did. The Span Factory A traditional API endpoint generates two to three spans per re