AI agent economics to shape next phase of enterprise GenAI adoption; 60% of agentic AI costs go to response refinement: McKinsey

Short summary

A new McKinsey report highlights that as generative AI moves from experimentation to enterprise-scale deployment, business leaders are focusing on the economics of AI agents rather than the technology itself. The report finds that 60% of agentic AI costs go toward response refinement, signaling that quality control and output accuracy are the dominant cost drivers. This shift in focus suggests the next phase of GenAI adoption will be shaped by cost-efficiency considerations.

• •McKinsey report says enterprise GenAI focus shifting from technology to AI agent economics
• •60% of agentic AI costs attributed to response refinement
• •Next phase of GenAI adoption shaped by cost-efficiency and quality control

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