30% of AI Projects Die After Proof of Concept. Nobody Budgeted for the Failure.
Gartner projected 30% of AI projects would be abandoned after proof of concept. The actual number is worse. A stage-gated kill criteria framework for AI investments.
Recent Posts
Most Companies Spend $11 Per Employee on AI. The Top 1% Spend $7,500.
Ramp's AI Index reveals a 680x gap between the top 1% and median AI spenders across 70,000 businesses. What the distribution means for FinOps benchmarking, forecasting, and governance.
FinOps X 2026: What the Hyperscaler Agent Launches Mean for Your Tool Stack
AWS, Google Cloud, Microsoft, IBM, and Flexera all shipped autonomous cost management agents at FinOps X 2026. A practical breakdown of which agents belong in your stack.
Cloud FinOps Wasn’t Built for AI Costs. The Tokenomics Foundation Is.
The Linux Foundation launched the Tokenomics Foundation at FinOps X 2026 to set open standards for AI cost management. What the nine cost layers framework means for FinOps practitioners.
45% of CFOs now use cloud optimization to fund AI initiatives. The FinOps mandate shifted from cost cutting to capital reallocation.
Cloud Monitoring Costs $124K a Year. AI Workloads Will Double It.
97% of organizations experienced unexpected monitoring costs last year. The average mid-market observability stack costs $124,000 annually, and AI workloads push those numbers 40 to 200 percent...