AI Literacy
AI is not one thing. It is a supply chain.
A plain-words map of the hidden stack behind the tools we use.
AI is not one thing. It is a supply chain.
Most people meet AI as a chat box. Type a question, get an answer. It feels weightless, almost like a website with better manners.
But AI is not weightless. It runs through a long physical chain: chip machines, chip designs, factories, memory, data centres, networks, and power. When one layer gets tight, expensive, political, or fragile, the tools sitting on top of it change too.
The useful question is not only, which AI tool should I use? It is, whose infrastructure am I depending on?
The six layers
- Chip equipment: the machines that make advanced chips possible.
- Chip design: the blueprints for the processors that do the work.
- Foundries: the factories that turn those designs into silicon.
- Memory: the high-speed fuel that keeps AI chips fed.
- Data centres: the buildings where AI infrastructure lives.
- Power and grid: the electricity that keeps the whole system alive.
Why this matters
You do not need to become a semiconductor analyst to use AI well. You do need a basic map, because the map changes the questions you ask.
- It explains why AI access can get cheaper in one layer and more constrained in another.
- It helps you ask better questions before choosing cloud tools, model providers, or local-first systems.
- It makes sovereignty more concrete: who owns the model is only one part of who controls the stack.
- It gives founders and operators a clearer way to read AI headlines without being pushed around by hype.
Source note: this reference was prompted by Keira Nesdale's Miss AI guide, The AI Ecosystem Supply Chain Stack. Use company numbers, market shares, and current claims from that guide as leads to verify against primary sources before relying on them.
This Her Frontier page is educational. It is not investment advice, legal advice, tax advice, or a recommendation to buy or sell any company or financial product.