Ant Group CEO: Enterprise AI Needs Exclusive Data for True Value
During the 2026 World Artificial Intelligence Conference on July 19th, Ant Group CEO Han Xinyi shared his insights on how enterprise AI can move beyond initial deployment to achieve deep value realization. He emphasized that enterprise AI's intelligence is built not just on accumulating knowledge, but also on the sedimentation of experience. Han stated that the higher value of enterprise AI lies not only in improving individual efficiency but also in fostering organizational evolution. The path to achieving this deep implementation, he explained, is by creating 'organizational intelligence'. He further elaborated that enterprise AI deployment should not remain at the level of tool-based efficiency gains. Instead, it must be rooted in industry-specific scenarios and pragmatically pursue tangible value.
The assertion that exclusive data is necessary for exclusive enterprise AI highlights a critical tension in the development of artificial intelligence. While proprietary data can indeed enable more tailored and potentially more effective AI solutions for specific business needs, it also raises concerns about data privacy, security, and the potential for exacerbating market concentration. The drive for 'organizational intelligence' suggests a shift from individual task automation to broader systemic improvements within companies. This perspective prompts consideration of how AI integration will reshape organizational structures and decision-making processes over the next decade. It also raises questions about the accessibility of such advanced AI for smaller enterprises and the potential for a widening digital divide based on data ownership and AI capabilities.
AI-generated to prompt reflection — not editorial opinion, not advice, not a statement of fact. How this works.