Episode 90 dives into a new line item appearing on enterprise cloud bills: data egress charges specifically triggered by AI agents. Lucas explains how agentic workflows—where AI models autonomously call APIs, query databases, and return results—multiply egress costs compared to traditional user-driven traffic. The hosts examine Amazon Bedrock's new 'Agent Data Transfer' fee, how it compares to Azure's API Management consumption tiers for AI, and why enterprises running multi-agent systems on Google Cloud are seeing bills spike 30-40% quarter-over-quarter. Luna shares a story from a fintech startup that saw its monthly egress bill jump from $4,000 to $18,000 after deploying a basic customer-support agent. The episode also covers mitigation strategies: caching responses, colocating agents with data, and negotiating flat-rate egress lanes. Fresh angle not covered in previous episodes (which focused on GPU fees, IPv4 exhaustion, fiber networks, etc.).