Source: Techtiff
The operational burden of deploying AI agents falls not on engineers but on business operators—they must define outcomes, embed company knowledge, curate data flows, validate outputs, and continuously recalibrate as conditions shift. This is reshaping job descriptions for product managers, operations leads, and domain experts toward "AI orchestration," where success depends less on doing the work and more on architecting systems that do it. Companies are struggling to hire and retain people who understand both their business logic and AI's constraints.