Abstract: Organizations are reconsidering the traditional boundaries between outsourced and in-house capabilities as artificial intelligence tools dramatically amplify individual and team productivity. This article examines an emerging strategic pattern in which large enterprises selectively insource previously outsourced functions—spanning legal services, marketing operations, and software development—to capture AI-driven efficiency gains directly rather than paying vendors whose productivity improvements diffuse across multiple clients. Drawing on organizational economics, resource-based view theory, and early practitioner insights, this analysis explores the drivers, implementation pathways, and strategic implications of AI-enabled insourcing. Evidence suggests this shift represents not wholesale vendor replacement but rather strategic recalibration of make-or-buy decisions, allowing organizations to build differentiated capabilities, reduce costs, and retain competitive advantages internally. The article provides frameworks for determining which functions to insource, managing phased transitions, and balancing internal capability development with selective vendor partnerships in an AI-augmented operating environment.
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