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As HR practitioners help leaders think through what increases the likelihood of AI transformations succeeding, this new McKinsey article outlines 12 themes separating organizations innovating with AI from those running experiments that never scale. For each theme, it includes a diagnostic question leaders can use to evaluate their efforts. Three themes include: Theme 1: Enduring capabilities over one-off solutions. This helps leaders assess whether they are building repeatable capabilities rather than isolated wins. Diagnostic question: Are you building enduring capabilities for the journey, or merely delivering one-off solutions? Theme 3: If the value you’re creating doesn’t move the business, you’re getting it wrong. This helps leaders assess whether AI efforts are tied to business impact or just incremental gains. Diagnostic question: Will our business transformation plan result in game-changing value, or will the wins be incremental? Theme 9: Design for adoption and build for scale. This helps leaders consider whether the organization can embed and scale AI beyond isolated efforts. Diagnostic question: Can your organization repeatedly adopt and scale AI, or is it still relying on isolated heroics? Together, these themes and diagnostic questions can help HR practitioners guide leaders on where AI investments are most likely to create long-term business value.
