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The Science of Scaling

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Studying the Impact of AI in Business and Innovation

AI is transforming business landscapes, making it crucial for entrepreneurs and executives to deeply understand and anticipate future developments related to AI. The key challenge is envisioning how AI will reshape the problems and opportunities businesses address for their customers over the next 5 to 15 years. This requires a strategic foresight that often involves navigating an innovator's dilemma, as seen in the transition from on-premise solutions to cloud-based models. The dilemma suggests that while established companies understand necessary changes, they struggle to implement them due to existing structures and business models. For instance, the shift to cloud solutions highlighted three main disruptive factors: the need for new technical architectures, revised pricing models, and innovative distribution strategies. Established players like PeopleSoft faced hurdles in adapting their on-premise solutions to cloud environments, allowing agile newcomers like Workday to capture significant market share. Understanding these dynamics is critical as businesses venture into the AI realm, which bears its own set of challenges analogous to those seen in previous technological shifts.

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