📉 Enterprise AI Reality Check: Hype, Failures, and Maturity

The sources provide a comprehensive overview of the severe disconnect between massive investment in the Artificial Intelligence ecosystem and the low return on investment (ROI) experienced by enterprises in 2025. They highlight that AI project abandonment rates have skyrocketed to 42%, with studies showing the vast majority of initiatives fail to deliver measurable financial impact. The core reasons for this failure are identified as organizational and strategic—including poor data quality, talent shortages, and a failure to redesign core business processes—rather than technical limitations. Furthermore, the market is undergoing a "rolling correction" as it shifts from a speculative hype cycle toward a focus on execution and measurable value, a transition complicated by the misleading practice of "agent washing" by vendors. Ultimately, leading consulting firms agree that success requires a strategy-first mindset prioritizing people, processes, and foundational data governance over technology novelty.