A practitioner's perspective on AI, cloud, and technology transformation — and the economics of making them work inside real enterprises. Every issue is archived here on my own site.
Enterprises don't buy tokens — they buy work. How Microsoft, Google, OpenAI, and Anthropic are all racing up the stack from tokens to work, and why the real metric is dollars of useful work per dollar spent.
Read the postJane Street's ~$15B July loss and the Situational Awareness fund — a spectacular AI-trade reversal, and what it says about the gap between a real technology and a successful investment.
Read the postWhat if AI compute itself becomes something to be financed, securitized, and traded like a commodity? A look at the financialization of compute — and where the analogy breaks down.
Read the postNvidia and the hyperscalers are deploying hundreds of billions into AI infrastructure. But someone ultimately has to generate the return. A practitioner's view on the total cost of enterprise AI — and who captures the value.
Read the postToday's AI investment thesis assumes ever-growing centralized cloud inference. But open-weight models, smaller models, and AI-capable PCs raise a question: what if inference becomes increasingly hybrid — and what does that mean for the trillions being committed to infrastructure?
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