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Debunked
Not Really an AI Problem
Companies know exactly what they're doing with AI
Enterprise adoption is high, but in-house expertise lags; most pilots yield modest gains.
Description
Despite high enterprise adoption rates, most companies lack sufficient in-house AI expertise. The majority of AI pilot projects yield only modest gains, indicating a gap between adoption and effective implementation.
Origin of the Concern
Assumptions that large companies deploying AI have clear strategies and deep expertise in the technology.
What's Misunderstood
While enterprise adoption of AI is high, in-house expertise often lags behind, and most pilot projects yield only modest gains, indicating a gap between adoption and effective implementation.
Empirical Context
The Stanford AI Index 2025 documents the gap between AI adoption rates and in-house expertise, showing that most AI pilots yield modest gains.