No AI is perfect. Generative AI hallucinates, predictive AI fails with bad data, computer vision struggles with edge cases, and automation needs constant human oversight. In this video, we examine the most common types of AI, why so many rollouts fail, and the four steps every business must take before adopting new tools: define the real problem, audit your data, test with small pilots, and demand transparency from vendors. The lesson is simple: stop buying the dream and start buying the fit.