AI Economics
The AI product you use sits on top of a larger economic chain.
Customers pay applications. Applications may pay model providers. Model providers pay for compute, and compute ultimately depends on hardware.
Follow one payment through the stack
This is a directional illustration of who may pay whom. It does not assign fake percentages.
๐ฅ
Customerbuys AI product
๐ฑ
Applicationmay buy model usage
๐ง
Model providerbuys compute
โ๏ธ
Cloud / computeuses hardware
๐ป
Chipsphysical compute
Ready.
Click a layer to see what it contributes
Select a layer
See what that layer contributes.
Key insight: the AI interface is only the visible application layer. Underneath it sit model, compute and hardware economics.
AI Economics ยท Go deeper
Each layer has a different cost structure and source of advantage.
Infrastructure is capital intensive, frontier models require major research and compute investment, and applications can often start by using models that already exist.
The structural economics
| Layer | Main pressure | What can create advantage |
|---|---|---|
| Chips / compute | Capital, capacity and supply | Hardware capability, scale, availability |
| Foundation models | Training and inference cost | Model quality, research, distribution |
| Applications | Competition and model costs | Domain knowledge, workflow, distribution, user relationship |
Training data also has economics
1
Public-web eraLarge amounts of internet data were used for model training.
2
LicensingSome publishers and data owners began treating high-quality archives as commercial assets.
3
Legal disputesRights, consent and ownership became part of model-development economics.
4
Synthetic dataModel-generated data can supplement other sources while introducing its own quality questions.
High barrier
Build foundational infrastructure
Chips, cloud infrastructure and frontier models require substantial capital and specialised engineering.
More accessible
Build an application
Smaller teams can use existing models and focus on a specific problem, workflow and user experience.