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Closing The AI Execution Gap: Why AI Initiatives Can Stall Before Delivering Value

Forbes Councils member Patrick Pugh reports that the AI execution gap—the distance between what organizations have invested in AI and what they have realized from it—is rarely a technology problem, but rather a failure to bridge strategy and execution. Pugh argues that initiatives stall because of unclear business objectives, lack of change management, and insufficient data readiness, not because of the AI models themselves.

read1 min views1 publishedAug 18, 2026
Closing The AI Execution Gap: Why AI Initiatives Can Stall Before Delivering Value
Image: Machinebrief (auto-discovered)

By Patrick Pugh, Forbes Councils MemberSource:

Forbes InnovationThe AI execution gap is the distance between what organizations have poured into AI and what they've realized from it, and that gap is rarely a technology problem.

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