Newsletter Archive
A running archive of research on AI infrastructure, model competition, and the bottlenecks that matter most across the stack.
Price growth is cooling, and Micron is trading part of its upside for price floors while the shortage still gives it leverage.
New essays are published here with durable links, clear publication dates, sources, and related research. Substack remains the easiest way to get each one by email.
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Three essays that frame the archive: what constrains AI, how model economics are shifting, and why task cost matters more than token price.
The most important question in AI investing is what the system can physically support.
The price per token no longer tells you what a task costs.
Demand is real. Spending is extreme. The missing pieces are not what most people think.
Latest essays
Earlier newsletter essays, presented as durable research notes instead of a generic feed.
Booking spent $8.2 billion last year acquiring customers. A personal AI agent puts that money in play, if it can get through the door.
Where agent security demand lands, which public companies can capture it, and what the market already prices in.
What the Hugging Face incident reveals about containing and trusting agents that could help build their successors.
A record print and a bold guide. The nuance is on the balance sheet.
Stress-testing the structural integrity of a $700B infrastructure buildout.
Kimi K3 lifted the floor. Eight days later, Opus 5 reset the frontier above it. Both are demand for compute.
AI looks like the 1920s electricity boom in the buildout and financing, dot-com in the valuation, running at 2021 speed.
Bits barely moved. Prices jumped roughly 60%. That gap is what a physical bottleneck looks like in an income statement.
The capability gap is holding. The market willing to pay for it is narrowing.
Demand is real. Spending is extreme. And the missing pieces aren't what most people think.
Seven frontier AI models in 18 days. The price per token no longer tells you what a task costs.
What Anthropic vs. OpenAI means for enterprise software, compute demand, and how you work.
Why the most important cost driver in AI isn't compute, and what happens when it gets compressed.
The most important question in AI investing is what the system can physically support.