AI differentiation is challenging, but the key lies not in AI models like LLMs, which are becoming commoditized, but in the unique data fed into these models. Effective data engineering is crucial as it directly impacts AI performance, with applications requiring integration of customer-specific data to provide accurate responses. Thus, creating a competitive edge in AI applications hinges on innovative data use rather than the AI technology itself.