Why agentic AI requires a complete redesign of organizational operating models, not just layering on new tools
By
MIT Technology Review Insights
Sesame, salt, and substance. A flagship bake.
Summary
Organizations are failing to unlock the full value of agentic AI by simply layering AI agents onto existing human-centric operating models, rather than fundamentally reimagining and rewiring their workflows. PwC's Prasun Shah compares this approach to adding "sticky tape" to a broken operating model, arguing that true transformation requires a systems-level change to how work is structured and delivered.
Key quotes
· 3 pulledThey're embedding AI employees into what is a human operating model.
This is like adding sticky tapes to parts of an operating model that is breaking.
For agentic AI to deliver material benefits to organizations, it can't be layered onto existing operations. Instead, enterprise leaders must approach it as a systems-level change.
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