The widespread deployment of AI agents across enterprise software is already disrupting long-standing business models and economic assumptions. With companies deploying thousands to tens of thousands of agents, traditional software giants are watching their competitive moats erode in real time. Capital is shifting toward new infrastructure and productivity models as digital labor becomes abundant and human workforce economics are fundamentally repriced.
In a new episode of Practical AI, hosts Chris Benson and Daniel Whitenack examine the emerging "post-agentic world"—a future that's already taking shape. The discussion moves beyond the typical job-displacement narrative to explore a deeper transformation: what happens when agents manage other agents, when entire organizations operate at inhuman scale, and when the underlying assumptions about productivity, labor, and competitive advantage no longer hold. This isn't speculation about distant futures; companies are making bets and building architectures for this economy today.
Key Points
Companies are actively deploying thousands to tens of thousands of AI agents in production, fundamentally changing enterprise operations
Traditional software vendors' economic advantages are eroding as AI agents disrupt established market structures
Digital labor becoming abundant is triggering real-time repricing of human workers and workforce roles
The post-agentic world enables agents to manage other agents, creating organizational possibilities that exceed human-scale operations
This represents a systemic economic shift rather than simple job displacement—core business assumptions about productivity and competition are changing