2026-03-23 news
OpenAI scrapped a major Texas data centre expansion this week [1]. The stated reason: cost control ahead of a potential IPO. What does that mean for you?
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Thoughts of 2026-03-20
AI is pushing AWS towards a $600bn decade-scale ambition while most finance teams still cannot predict cloud spend with confidence. That gap is where AI strategies fail. …
News - cracker method for AI cost optimisation?
AI costs are splitting in two directions. Microsoft is cutting cloud prices while GPU and inference bills explode. This article shows why “AI infrastructure” is no longer …
The end of AI blank cheques
The AI spend surge is colliding with financial reality. Cloud is now a major operating cost, forecast variance is rising, and CFOs are taking ownership. AI unit economics …
Before you trust a forecast, try this OSS tool
You don’t need to understand forecasting to use it. This tool lets you test several algorithms on your own data, see how each behaves, and decide which story fits your …
Forecast any number with eight forecasting algorithms
Forecasting shouldn’t be a black box. forecast_costs.py runs multiple models—SMA, Holt-Winters, ARIMA, NeuralProphet, and more—to show how each interprets your data. …
FinOps Toolkit: start with context, end with clarity
The FinOps Toolkit is a set of open-source scripts to explore, forecast, and explain cloud costs. No dashboards, no lock-in. Some tools are AWS-specific; others are …
Forecast cloud
Thoughts and insights on cloud forecasting and predictions
5 ways to forecast your cloud spend
5 ways to forecast your cloud spend Why do you need to forecast? In every company there is a need to plan for future flows of money, and IT is no exception. Before the …