Building defensible businesses in the AI economy. The technical and economic foundation founders and early-stage operators need to make build-versus-buy decisions, identify durable moats, and read the competitive field.
Founders building with AI face a set of decisions that did not exist five years ago: whether to wrap a frontier model or train your own, which capabilities of your product are defensible against the next release from a foundation lab, and when fine-tuning a model justifies the investment. The answers shape product strategy, pricing, hiring, and fundraising, and they often turn on technical and economic details that are not easily delegated.
This workshop equips founders and early-stage operators with the technical and economic foundation these decisions require. Through a combination of conceptual instruction, founder case discussions, and structured exercises with fellow participants, you will develop the intuition required to read the AI market, evaluate competitive moats, and make build-versus-buy decisions across the stack.
A defensible AI business rests on understanding the underlying economics rather than chasing the latest model release.
Participants will learn the technical and economic foundations of AI to:
Delivered as a two-day workshop · three modules per day
Programs can be customized for your organization. Delivered on-site, in-person, live-online, or asynchronously as a course library.
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