From the course: Agentic AI Economics: Business Models and Pricing Strategies
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Why and how autonomy breaks unit economics
From the course: Agentic AI Economics: Business Models and Pricing Strategies
Why and how autonomy breaks unit economics
- [Instructor] Now that we have seen how companies are packaging intelligence into their offerings, the next obvious question is, what does it cost to deliver these solutions, because no matter how magical a product feels at first, that wow factor doesn't last if the economics don't add up. That brings us to one of the golden principles in business, that the value delivered should be greater than the price charged, which in turn should be greater than the cost of providing it. That's the sense of unit economics, understanding the cost and return of every unit you deliver. In traditional SaaS, this was pretty straightforward. Workflows and usage patterns are relatively predictable, making it easier to calculate cost to serve per user. In contrast, agent AI workflows are inherently non-deterministic and dynamic. Depending on how an agent coordinates its decisions and actions in realtime, a process known as runtime orchestration, cost can swing dramatically from one request to another. A…
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