CLOUDY MUSINGS

You know how this usually goes...you wind up pulling the monthly AI spend report and the number is just that...a number. "Anthropic API: $14,200." No breakdown, no context, no indication of whether your team built something genuinely useful or spent three weeks regenerating the same 8,000-token system prompt on every single call. The invoice knows what you spent. Unfortunately, your invoice (by itself) has no idea why you spent what you did. The graphic above breaks it down:

I posted my FinOps for AI badge last week and almost immediately started getting messages. The interesting thing was most of them weren't actually about AI. A few people wanted to know whether the certification was worth pursuing, but most of the questions were really about the broader FinOps certification journey. Where does FinOps for AI fit? Should somebody take Engineer first? Is Practitioner still the right starting point? What's the deal with FOCUS? Is Professional wort

I have been attending Microsoft events in one form or another for a long time, and I have learned that the first wave of conference reactions is usually not where the real story lives. The first wave is always loud. It's the keynote clips, the social posts, the product names, the demos, and the inevitable rush to figure out which announcement is the announcement everyone should be talking about. That's useful to a point, but I usually find the more interesting story a little