Gen AI Paradox

Gen AI Paradox

The gen AI paradox is QuantumBlack / McKinsey’s term for the gap between broad gen AI adoption and weak measurable business impact.

Key points

  • The report says nearly eight in ten companies report using gen AI, yet a similar share report no significant bottom-line impact [src-111].
  • The gap comes from diffuse horizontal copilots and harder vertical, function-specific use cases that require integration, data readiness, process redesign, adoption work, governance, and technical maturity [src-111].
  • The report says about 90 percent of vertical use cases remain stuck in pilot mode [src-111].
  • Agentic AI is presented as one route out because agents can operate across workflows, tools, systems, and decisions rather than only help one person complete one task [src-111].

Related

McKinsey & Company, QuantumBlack, Agentic AI Operating Model.

Source references

  • [src-111] QuantumBlack / McKinsey – Seizing the agentic AI advantage.

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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