The Hidden 30x Cost of Agentic AI Loops: Why Token Economics Don't Add Up

Agentic AI systems incur dramatically higher token costs than single API calls because each tool invocation replays the entire context, causing expenses to scale quadratically rather than linearly. Organizations routinely underestimate these costs—building agents expected to cost $0.20 per invocation that actually run $5, a structural reality driven by context replay, parse retries, and tool description bloat. Understanding this cost asymmetry is critical for production AI deployments in 2026.