AI applications can be sold like software, labor, infrastructure, or outcomes. The business model shapes both the product and the risk.
Subscription software
The customer pays a recurring fee per user, team, or organization. This is familiar, but pricing may become difficult when AI usage costs vary widely.
Usage-based pricing
The customer pays per document, minute, task, call, image, token, or transaction. This aligns revenue with activity but can make bills unpredictable.
Service-as-software
The company charges for completed work that was previously performed by employees or outsourcing firms—for example, a processed claim, reconciled account, or qualified lead.
Outcome-based pricing
The provider receives a fixed fee or share of value created, such as revenue recovered, costs reduced, or cases resolved. This can support higher prices but transfers more responsibility to the provider.
Economic questions
- How much human labor is truly removed?
- What does inference, review, support, and integration cost?
- How expensive is customer acquisition?
- Does the product become more valuable as it accumulates data and workflow knowledge?