Ben Thompson

Patrick O'Shaughnessy × Ben Thompson

AI’s near-term bottleneck may be capital rather than compute or power, as funding shifts from free cash flow and debt toward Google equity and NVIDIA’s $500 billion vehicle.Thompson’s Berkshire analogy makes Search a possible funding engine for AI’s “basically all white-collar work” TAM, while payback periods, hyperscaler chips, and an air-gap risk remain watchpoints as 2028-29 capacity arrives.

Andrew Sharp × Ben Thompson

AI agents shift the AWS contest from infrastructure cost to capability, favoring Nvidia/OpenAI or Google’s integrated stack over cheaper Trainium and open-source models.Amazon may retain legacy workloads yet lose new AI customers, while Apple’s strong results delay strategic change; Nvidia scarcity, installed-base inertia, and leadership culture remain the decisive risks.

Andrew Sharp × Ben Thompson

TSMC’s customer-first model helped build its moat but may have left 5 nm and 3 nm underpriced as leading-edge fabs became shorter-lived and cost “well into the 30 billions.”Planned capex of $52–56 billion this year still may not provide enough 2028–29 capacity, transferring supply risk to NVIDIA, Microsoft, Google and other buyers unless Intel and Samsung become credible second sources.

Andrew Sharp × Ben Thompson

OpenAI’s roughly $1 trillion of infrastructure commitments aim to make ChatGPT the agentic layer across devices, email, calendars, and even sleep monitoring for as many as 8 billion assistants.Ben now sees the sprawling strategy as rational amid “astronomical, massive growth,” while compute shortages, subscription expectations, and AMD diversification remain tests of financing, execution, and platform leverage.

Andrew Sharp × Ben Thompson

Blanket tariffs risk raising input costs and weakening US manufacturers, while disorderly Treasury moves could trigger margin calls, basis-trade unwinds and a credit freeze.China’s modular manufacturing ecosystem compounds expertise through shared demand, making full onshoring unviable; targeted schedules and guaranteed purchases could build trusted alternatives, but Taiwan decoupling may increase conflict risk.

Ben Thompson × Bill Bishop

DeepSeek showed a chip-constrained company could build an internationally competitive open-source model, globalizing distribution and pushing Chinese providers toward free offerings.The $6 million figure covered one training run, not experimentation or R&D, leaving the business model unclear.Whether ingenuity can offset restricted hardware over one or two years remains unresolved as xAI and OpenAI keep buying better NVIDIA systems.