The AI Execution Gap

92% of companies plan to increase AI investments over the next three years. Only 1% consider themselves “mature” in AI deployment.

Over 80% of AI projects fail to deliver expected outcomes, with primary causes including poor data quality, weak integration, and misalignment between AI outputs and business goals.

This gap between ambition and execution is especially pronounced in product management, where AI adoption intersects directly with strategic planning, user experience, and cross-functional coordination.

Sources: McKinsey 2025, Gartner 2025, RAND Corporation 2024

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