Core Viewpoint - The transformation of Shenyang, an old industrial city in Northeast China, from a "steel belt" to an "intelligent belt" exemplifies the revitalization of traditional industries through digitalization and artificial intelligence (AI) [1] Group 1: Transition Strategies - Transition from single-point breakthroughs to system reconstruction by building an "intelligent community" to activate new momentum in industrial clusters, particularly in advanced manufacturing sectors like aerospace, automotive, and shipbuilding [2] - Establish industry-level AI innovation alliances to promote collaboration between leading and supporting enterprises, and create a digital twin platform [2] - Set up a digital transformation fund to support "chain master" enterprises in building shared resources and accelerate the development of industry-specific large models [2] Group 2: Ecosystem Development - Shift from technology application to ecosystem cultivation by innovating scenarios and developing new ecosystems for transformation and upgrading [3] - Recommend the establishment of regional AI application scenario innovation centers, showcasing smart mines and digital factories as demonstration sites [3] - Create a "scenario list + technology tackling" mechanism to facilitate deep connections between AI and traditional enterprises, and improve revenue-sharing mechanisms for sustainable business models [3] Group 3: Innovation and Talent Development - Move from passive transformation to proactive innovation by cultivating "digital new craftsmen" to accumulate new momentum for sustainable development [4] - Implement a model combining experienced craftsmen with AI to rejuvenate traditional craftsmanship, as seen in Shenyang Blower Group [4] - Propose the systematic collection of veteran craftsmen's technical experiences to establish a "digital craftsman" training system, fostering talents who understand both traditional craftsmanship and AI technology [4]