Fabs & the chip supply chain
Advanced AI chips depend on a handful of highly specialised factories, tools and materials.
D1 · StoryFor young children and total beginners
Chips are made in special factories called fabs, which are cleaner than a hospital. Only a few places in the world can make the most advanced chips.
It's like a recipe that needs a special oven that only a few bakeries own.
How a chip is made: only a few factories can do step two
- Design: drawing the chip
- Make: in a super-clean factory (a fab)
- Put together: add memory, then test
- Data centre: the chip goes to work
Like: A special oven that only a few bakeries have.
D2 · PictureFor curious beginners
Making an AI accelerator involves chip design, fabrication at a foundry, advanced packaging that places memory right next to the processor, and testing.
Each step relies on specialised equipment and suppliers, and several steps are concentrated in a small number of companies and countries.
That concentration is why chip supply shows up in trade policy and export controls.
From design to server
- Design: chip architecture
- Fabrication: at a foundry
- Packaging: joins memory
- Test: and assembly
- Servers: into data centres
Like: Like a relay race where some legs can only be run by one or two athletes in the world.
Where it breaks: In a relay a missing runner can be replaced by a slower one. In chip-making some steps have no practical substitute at all in the short term.
D5 · FrontierFor experts
D2 draws chip-making as a pipeline. At the leading edge several stages have one or two suppliers, so the open questions are about concentration and policy as much as technology.
One lithography supplier. A single firm makes every EUV lithography machine, and it expects its next-generation High-NA tools to support volume manufacturing only from 2027 (ASML 20-F, 2026).
Geography. In 2022 almost all leading-edge (below 10 nm) logic capacity sat in Taiwan and South Korea. An industry study projects the US could make nearly 30% by 2032 if planned fabs are built (SIA and BCG, 2024).
The cost of spreading out. The largest foundry expects overseas fabs to cut its gross margin by 2 to 3 points at first and 3 to 4 points later, while calling its AI packaging capacity very tight (TSMC, Q3 2025 call).
Export controls. US rules in December 2024 extended controls to high-bandwidth memory and more chip-making tools. Whether controls slow rivals or speed up their home-grown substitutes is contested (BIS, 2024).
Examples as of 2026-10-30
- TSMC (leading-edge foundry and CoWoS packaging)
- ASML (EUV lithography machines)
- SK hynix, Samsung and Micron (HBM memory)
- Intel Foundry and Samsung Foundry (other leading-edge fabs)
Sources
- SIA & BCG: Emerging Resilience in the Semiconductor Supply Chain (2024)
- SIA & BCG: Strengthening the Global Semiconductor Supply Chain in an Uncertain Era (2021)
- ASML Form 20-F, fiscal year 2025 (2026-02-25)
- BIS rule: Refinements to Controls for Advanced Computing and Semiconductor Manufacturing Items (2024-12-05)
- SemiAnalysis: AI Capacity Constraints - CoWoS and HBM Supply Chain (2023-07-05)
- TSMC Q3 2025 earnings call transcript (2025-10-16)
How it connects
- Fabs & the chip supply chain manufactures GPUs & AI accelerators.
More in Layer 1 · Physical & Energy
- Grid connection & energy supply
A big AI data centre needs a large, steady supply of electricity, and getting connected to the grid can take years, so power, not chips, often decides where and when one gets built. - Power & cooling for AI data centres
AI data centres are limited by how much electricity they can get and how much heat they can remove. - Liquid cooling
AI racks pack so much power into a small space that fans and cold air can no longer carry the heat away, so water-based cooling is piped right up to the chips. - Energy per token
Each answer a model gives costs a little electricity, and how much depends on what you count: the chips, the rest of the server, idle machines and the building's cooling.