The conversation around artificial intelligence is evolving, with a notable shift from the capabilities of AI models to the significance of the data and ecosystems surrounding them. Oracle CTO Larry Ellison emphasized that while leading AI models like ChatGPT and Meta’s Llama are trained on publicly available data, their true potential is unlocked through access to proprietary enterprise data. Zoho founder Sridhar Vembu echoed this sentiment, asserting that AI is becoming commoditized, and the value now lies in the systems built around it. This perspective suggests that as AI models become widely accessible, differentiation will stem from integrating AI into enterprise workflows, utilizing private datasets, and fostering long-term customer relationships. The emphasis on private data is critical, as it can enhance AI's utility in business operations by providing tailored insights and automating workflows. Consequently, the AI market is transitioning towards a phase where competition hinges on the ability to merge AI with trusted enterprise data and practical business applications.