As AI becomes central to business strategy in 2025, companies are adopting various organizational models to implement AI initiatives effectively. These models hinge on three dimensions: ownership, outsourcing, and proximity. Ownership determines whether the team implementing an AI project will also manage it long-term or if they’ll act as consultants. Outsourcing reflects the balance between in-house and external staffing. Proximity addresses whether team members work together in one location or remotely.
Eight organizational archetypes emerge from these dimensions, each with unique advantages and challenges. For instance, high ownership with low outsourcing and high proximity, favored by tech giants like Google and Netflix, ensures control and alignment but requires significant investment. Conversely, models with high outsourcing and low proximity can reduce costs and tap into global talent but risk vendor lock-in and security issues.
The choice of archetype often depends on a company’s stage in AI adoption, with early adopters leaning towards models that signal AI commitment without heavy initial investment. Future trends suggest that economic, geopolitical, and technological factors will influence these choices, potentially reshaping the cost-benefit analysis of outsourcing and the feasibility of remote work.
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