海银资本李东平：AI与消费落地实践需做到场景深入或创新

Core Insights - The integration of AI and consumption presents diverse possibilities, but transitioning from technological breakthroughs to large-scale industry applications requires a critical transformation from "technological innovation to industrial innovation" [2][5] Group 1: Industry Innovation Paths - Two core directions for the practical implementation of industry innovation are proposed: 1. Scene Deepening: This involves rooting technology in specific fields, deeply binding it to industry demands, and creating a positive cycle where technology adapts to scenarios and scenarios feedback into technology [2][5] 2. Scene Innovation: Emphasizing the need to actively explore consumer demands rather than relying on traditional market research, it highlights that consumers often only recognize their needs after new products or services are introduced. The key is to create new consumption scenarios and experiences through technological empowerment, thereby activating incremental markets and driving large-scale industry growth [2][5] Group 2: Expert Opinion - The speaker asserts that to achieve the transition from technological breakthroughs to industrial scale applications, companies should either focus on scene deepening or scene innovation [2][5]