📉 Why Generative AI Projects Fail and How to Succeed

Why Generative AI (GenAI) projects frequently fail, highlighting that the majority do not achieve their intended value or return on investment. It categorizes these failures into five core areas: strategic misalignment, where projects lack clear business objectives; data deficiencies, including poor quality or biased training data; technical hurdles in scaling prototypes to production; human factors such as distrust, fear of job displacement, and inadequate change management; and governance g...