AI is now the top technology spending priority for many organizations, as leaders put powerful tools into employees’ hands, automate parts of existing workflows, and urge people to experiment. Yet results are still falling short of leaders’ ambitions. The reason is becoming clearer: AI does not create enterprise value simply because more people use it. Individual productivity gains matter, but they rarely translate into lasting advantage when the organization around them stays the same. Companies moving furthest ahead do two crucial things differently. First, they focus on areas where AI can create the most value, redesigning and rewiring workflows around what the technology makes possible, rather than spreading pilots across the organization or simply automating existing processes. Second, they treat AI transformation as an organizational change effort, not just a technology deployment, by investing in the workflows, behaviors, skills, leadership practices, and change management needed to make new ways of working stick.
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