Member Thought Leadership
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Russell Reynolds Associates
AI adoption is accelerating quickly, but most organizations are still struggling to convert that activity into meaningful business value. The article shows that while teams are using AI more often and confidence in AI readiness is improving, the clearest benefits so far are in productivity and capability rather than in revenue or profitability. It argues that closing that gap requires more than tools or training, calling for stronger data foundations, better governance, reworked talent strategies, and leaders with the judgment to decide where AI will actually matter most. The broader message is that AI value realization is ultimately a leadership challenge, not just a technology one.
