Same Curve, Twice the Speed: Why AI Cost Management Isn't Cloud FinOps 2.0 (Oct. 1st)
Thursday, October 1st, 2026: 9:00 AM to 10:00 AM
In this session, we'll break down what actually separates AI cost management from cloud cost management: different unit economics, different owners, different attribution models, and a waste rate of 25% of cloud and AI spend, which took cloud a decade to reach and AI hit almost overnight.
Virtual
You'll see why treating AI spend like "cloud, but with GPUs" leaves most of it unaccounted for, what it takes to trace cost down to the commit, PR, or ticket it produced, and why closing that gap takes more than a better dashboard. It takes an agent that can act on what it finds, at whatever level of autonomy you're comfortable with.
Key Takeaways:
- Learn what really separates AI cost from cloud cost: unit economics, ownership, attribution
- See real cost per outcome numbers for AI coding tools, not just adoption metrics
- Understand why FinOps teams and AI COE teams end up siloed, and what closes that gap
- Get the real waste numbers behind the hype (25% of cloud and AI spend)
- race a cost spike back to the exact commit, PR, or ticket that caused it
- See what it looks like when cost governance acts before the bill arrives, not after
Hosted by DevOps.com