The AI Productivity Paradox | Silicon Valley Product Group

Companies are deploying AI to accelerate work output, yet organizational outcomes remain stagnant—a phenomenon now widely acknowledged across industry leaders like McKinsey and Atlassian. The root cause is not AI's limitations but the persistence of project-based delivery models that optimize for speed of execution rather than learning what customers actually need; strong product teams differentiate by using AI strategically during discovery phases to validate assumptions before building, while weaker teams simply accelerate their way toward the wrong solutions faster.

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