Two AI agents get stuck arguing with each other for 11 days. The reported bill: tens of thousands of dollars. Zero useful output. Gartner just named this pattern "Agentic Resource Exhaustion" at their March 2026 Summit — and predicted 40% of agentic AI projects will be canceled by 2027.

Meanwhile, Microsoft's cascading pricing changes could impose a 12 to 25% increase on Enterprise Agreements — and the FTC is investigating.

In this episode, we tackle the two forces squeezing FinOps teams from both sides.
Topic 1: The Agentic AI Cost Crisis. 98% of FinOps teams now manage AI spend. Fewer than half have financial guardrails.

Autonomous agents are provisioning their own compute, spinning in recursive loops, and burning budgets overnight. We break down a real-world multi-agent cost blowout, explain why agentic workflows consume 10-50x more tokens than simple queries, honestly assess where the data is strong versus shaky, and cover the governance tools — from TrueFoundry's Budget Grant model to OWASP's new "Denial of Wallet" vulnerability — that are emerging to contain the damage.

Topic 2: Microsoft's AI Tax. Three compounding stages: EA volume discount elimination (up to 12%), forced Copilot bundling into M365 (5-33% per SKU), and the Unified Support multiplier that compounds on top. For the largest enterprises, $10M becomes $12.5M. Copilot has 3.3% penetration, 35.8% active usage, and negative NPS — but you're paying for it anyway. We cover Microsoft's $120B+ annual CapEx trajectory, the $80B unfulfillable Azure backlog, scrutinize the source bias, and explain why AWS and Google are running the same playbook.

The thesis: whether you adopt AI or not, you're paying for it. Your agents are burning money. Your vendors are raising rent. The old FinOps playbook was built for deterministic compute. That world is ending.

Data from Gartner, State of FinOps 2026, IDC, Recon Analytics, US Cloud, Info-Tech Research Group, Microsoft earnings, FTC filings, and practitioner case studies. No sponsors. No vendor partnerships.

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