AI agents are often marketed as capable of replacing human workers, but the reality is that they may only enhance productivity rather than fully replace jobs.

The concept of agents will disrupt traditional economic models, as AI will provide services at the cost of compute, leading to an abundance of AI lawyers and other professionals.

Agent-based pricing allows companies to charge based on the work done by AI agents, which can replace a significant portion of traditional sales development roles.

Pricing strategies for AI agents can vary; if the service is used by humans, it may follow a per-user pricing model, while machine-to-machine services might adopt usage-based pricing.

The biggest concern for product managers regarding AI agents is cost, as many platforms price based on usage rather than value.

Vertical AI agents could potentially be ten times larger than the SaaS companies they disrupt, as they can replace not only software but also reduce payroll costs significantly.

The idea of agents as human replacements is a misconception; many existing systems, like customer support automation, have been in place for years without fully replacing human roles.

The confusion around agents stems from the expectation that AI will develop human-like intent and creativity, which may not be theoretically possible.

Companies that sell AI solutions to enterprises can command higher budgets when they position themselves as replacements for traditional roles, like customer support or analytics teams.