Part 2/10: AI Foundations Every PM Must Understand (Without Becoming an Engineer)

You don't need to train a neural network. You don't need to derive backpropagation by hand. But if you're a product manager shipping AI-powered features in 2026, you absolutely need to understand the machinery beneath the surface well enough to ask the right questions, push back on engineering hand-waving, and make informed trade-off decisions that directly impact your users.

This is Part 2 of our AI for PMs series. Here, we go in depth on the technical foundations, concepts, architectures, and vocabulary that distinguish PMs who manage AI products from PMs who merely witness their development. Let's get precise.