This viewpoint redefines how social impact organizations can enhance decision-making in complex environments using AI, suggesting a shift from task automation.
Purpose Leaders often introduce artificial intelligence (AI) with a familiar question: Which tasks can we automate? The assumption is that AI’s primary value lies in efficiency − doing the same work faster and at lower cost. This viewpoint aims to answer this critical question. Design/methodology/approach This viewpoint covers the authors’ opinion and interpretation on redesigning social impact work in the new age of AI. Findings The authors have found that this framing misses the deeper shift underway. When AI automates tasks, the work does not disappear. It changes form. The center of gravity moves upward − from execution to judgment, interpretation and decision-making. For social impact organizations, this shift is especially consequential. These organizations operate in environments defined by complexity, ambiguity and moral responsibility. AI does not simplify these conditions; it amplifies them. As routine tasks are automated, the remaining work increasingly involves deciding what to do, not simply doing it. Originality/value This viewpoint argues that the real opportunity for social impact leaders lies not in task automation but in decision redesign. AI changes how value is created, how roles evolve and how human–machine systems must be governed. Organizations that recognize this shift will be better positioned to deliver equitable, accountable and mission aligned outcomes.
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Sayyadi et al. (2026) studied this question.
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