The deployment of artificial intelligence agents at scale is no longer a future scenario—it's happening now. Companies across sectors are fielding thousands, and in some cases tens of thousands, of AI agents into their operations, fundamentally altering the competitive landscape of enterprise software. In a new discussion on the Practical AI podcast, hosts Daniel Whitenack and Chris Benson explore how this rapid adoption is eroding the traditional economic moats that have long insulated software giants, redirecting capital flows, and forcing a wholesale rethinking of what productivity means in a digitally augmented workplace. The transformation runs deeper than simple job displacement. As digital labor becomes abundant and agents begin managing other agents, the underlying assumptions that have shaped organizational design, compensation, and workforce structure are breaking down. Enterprise software that once commanded premium valuations faces pressure from a world where automation scales beyond human workforce limitations. The shift raises fundamental questions about how companies should be structured, priced, and valued when the old calculus no longer applies. The post-agentic world isn't arriving—it's already being constructed. For businesses unprepared for this economic reorganization, the risk is not obsolescence through dramatic failure, but gradual displacement by organizations that have fundamentally adapted their operations and assumptions to a world where AI agents handle work at unprecedented scale and cost.