深圳清华大学研究院产业规划研究中心主任刘战国： 如何领跑“AI+影像”新赛道

Core Viewpoint - The article emphasizes the need for the Bao'an imaging industry to transition from "smart imaging" to "new quality imaging" in the context of AI advancements [1][2] Group 1: Industry Upgrade Path - Liu Zhangguo, Director of the Industrial Planning Research Center at Tsinghua University, suggests that Bao'an's imaging industry should not only focus on "shortcomings" but also enhance its strengths in the AI wave [1] - The perception of Bao'an's electronic information industry has been limited to being "large and comprehensive," while its potential for "precision and specialization" is often overlooked [1] - The presence of leading companies like Vivo Communication and Yingshi Innovation highlights Bao'an's strong capabilities in imaging capture and playback terminals [1] Group 2: Strategic Insights - Liu advocates for moving beyond a "catch-up" mentality to seize "incremental" opportunities, arguing that traditional content production strategies are based on conservative thinking [1][2] - The current challenge is not the imbalance between hardware and content but the speed of upgrading traditional smart terminals to AI-enabled new quality terminals [2] - Liu uses Yingshi as an example of how to ascend the value chain by leveraging Bao'an's manufacturing capabilities, integrating new technologies, and creating new products and brands [2] Group 3: Future Goals - Bao'an's next objective is to become the global source for defining "new quality imaging" [2] - The industry is encouraged to move away from past manufacturing glory and focus on future innovation opportunities [2] - Through policy guidance and ecosystem development, companies should transition from "manufacturing" to "intelligent manufacturing" and from "OEM" to "branding" to achieve a transformation in the electronic information industry in the AI era [2]