The Physical Stack of AI · Fab and packaging supply chain
You can describe the three-stage value chain that produces a modern AI chip — design, fab, packaging — and name the leading-edge foundries competing for the 2026 wave.
Most people picture a chipmaker as one company that does everything. In 2026 that picture is the exception, not the rule. A leading AI accelerator usually moves through separate design, fab, and packaging businesses before it reaches a data center.
Nvidia, AMD, Apple, Google, and Amazon all design their chips. They write the blueprints, run the simulations, and own the architecture. Most do not own the leading-edge fabs that etch those designs into silicon. The actual manufacturing happens at a foundry: TSMC's roadmap runs from N3 into N2 and A16, Intel 18A is Intel Foundry's RibbonFET and PowerVia node, Samsung SF2 is Samsung's 2nm-class GAA node, and Rapidus has demonstrated 2nm GAA prototypes while targeting later volume. Once wafers leave the fab, they still need advanced packaging, where the compute die is bonded to memory stacks and a substrate to become a usable accelerator.
Chapter contains 3 lessons.