This conversation explores the article, "The GenAI Divide: Why 95% of Enterprise AI Investments Fail—and How the 5% Succeed," written by Jonathan H. Westover, PhD. This scholarly article identifies a significant "GenAI Divide," where the vast majority of enterprise AI initiatives fail to produce measurable returns, while a small fraction achieves massive success. The core failure is attributed to a "learning gap," meaning most systems lack the ability to retain context, adapt, and improve from ongoing use, which is a key expectation set by consumer-grade AI tools. The research advocates for strategic partnerships over internal development, distributed adoption authority, and prioritizing learning-capable system architectures to successfully cross this divide and realize significant business value, particularly in back-office automation.

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