As companies move from generative AI (gen AI) pilots to scaled efforts with measurable outcomes, many incumbents struggle to turn ambition into impact. Despite rising adoption, most gen AI initiatives fall short on ROI, highlighting the complexity and high-stakes nature of gen AI strategy. Leaders at incumbent firms now face a new kind of portfolio challenge. Unlike prior digital transformations typically focused on IT modernization or process digitization, gen AI introduces a more complex, multidimensional puzzle. Effective prioritization requires balancing the following factors: expected benefits with cost implications and risk tolerance with desired pace of implementation.The strategic trade-offs above influence how organizations set gen AI priorities. To navigate them, we outline four strategic archetypes, each representing a distinct approach. These archetypes help companies align their gen AI strategy with overall business goals by clarifying their stance on key trade-offs. How do we align AI with market demands for organizational development ?

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