The slow pace of widespread job replacement by AI is not a reflection of AI's capability, but a direct consequence of organizational dysfunction. Current "agentic AI" systems are only as effective as the structured workflows they execute.
The reality in most legacy corporations like Verizon is a landscape of fragmented, siloed organizations operating under conflicting Key Performance Indicators (KPIs). This structure is the root cause of systemic inter-departmental conflict and blame-shifting.
An AI agent does not engage in finger-pointing; it issues a clear error code indicating a break in the designed workflow. Crucially, that error will persist until the systemic gaps are reconciled and the workflow is made functional. Many legacy companies are littered with years of broken processes, often obscured by anecdotal reporting, polished presentations, and manipulated performance metrics.
These old habits will fail when faced with systems built on hard, fast rules.
Therefore, the initial push for corporate restructuring—the mass simplification and removal of organizational layers—is not just about efficiency. It is the necessary preparation. Once these fundamental workflow gaps are addressed and optimized, the corporate architecture will be ready for large-scale agentic AI implementation. The organizational cleanup precedes the technological deployment. Get ready for the next phase.