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MIT recently analyzed $30–40B in enterprise AI projects and found that a staggering 95% failed to deliver measurable ROI, not because of model limitations, but due to poor integration, workflow misalignment, and a fundamental “learning gap” (as reported in Legal.io and Tom’s Hardware).