Why AI agents can't use traditional SaaS pricing models
“You're creating the category of a new way for agents to price and run payments and everything.”
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And now with paid AI, presumably, it's kind of a similar feeling. You're creating the category of a new way for agents to price and run payments and everything. Maybe you could explain why the old model doesn't work for agents. Again, I mean, you touched on it briefly around almost tapping into labor budgets rather than software budgets, but maybe you could go a bit deeper on that.
Yeah. So so let's start with monetization. The in SaaS, you try to most monetization is done via via seat. Right? And and and you have, you know, the software is is deployed in a in a multitenant environment,
About this clip
Manny Medina explains the fundamental problem with current monetization models for AI agents. He breaks down why traditional per-seat SaaS pricing doesn't work for agents and why companies need to tap into labor budgets instead of software budgets when pricing AI agent services.
Why this clip
This clip captures a key insight about why existing business models fail for emerging AI agent technology, offering valuable perspective for founders building in the AI space.
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