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For example, a large American hospital I am familiar with initiated an AI project when their board demanded a strategy for “being AI-ready.” They hired a major consulting firm to implement arbitrary pilots—yet the probability of such projects delivering ROI with the AI models available at the time was virtually zero. This “failure” was predictable, and it doesn’t mean AI is doomed; rather, it reflects the typical first cycle of technological adoption where organizations stumble as they learn.