AI adoption is not AI maturity
Read OriginalThis article discusses the critical distinction between AI adoption and AI maturity in organizations. While many companies focus on getting people to use AI, true maturity means AI improves real outcomes like reduced cycle time, better product quality, and faster learning. The author outlines key principles: problem clarity before using AI, human ownership of decisions and outcomes, rigorous verification to avoid hidden risks, and reusability through shared workflows and patterns. The piece emphasizes that AI should not just generate more activity but lead to measurable improvements.
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