专家共话广东“新春第一会”：“两业协同”下智能经济怎么干

Core Viewpoint - The Guangdong High-Quality Development Conference emphasizes the coordinated development of manufacturing and service industries as a key direction for industrial upgrading and economic growth in the province [1] Group 1: Opportunities and Challenges of "Two-Industry Coordination" - Guangdong has three main advantages: a solid manufacturing base with complete industrial chains in electronics, home appliances, and equipment manufacturing; a vibrant private economy with strong digitalization willingness; and a high degree of openness as a frontier of reform and opening up [2][3] - Current challenges include insufficient penetration of productive services into manufacturing, a mismatch between high-end service supply and manufacturing upgrade needs, and a lack of tight coordination among different regions in Guangdong [2] Group 2: Key Technologies and Policy Adaptation - The main bottlenecks for technologies like low-altitude economy, autonomous driving, and embodied intelligence transitioning from labs to daily life are not technical maturity but rather institutional adaptability and scenario openness [4] - Key policy adaptations include establishing a "negative list + sandbox regulation" mechanism, creating large-scale demonstration corridors in key cities, clarifying accident responsibilities, and establishing a compliant data circulation framework [4] Group 3: Talent Introduction and Support - Guangdong's annual absorption of over one million college graduates provides essential talent support for AI ecosystem construction, technology transfer, and service innovation [5][6] - Continuous inflow of talent, especially in basic research and technical application, is crucial for long-term support of AI ecology and service innovation in Guangdong [6][7] Group 4: AI Empowerment and Economic Restructuring - AI is reshaping production and service models across various industries, with core application scenarios including digital twin factories, smart quality inspection, predictive maintenance, and flexible production in advanced manufacturing [8] - To help small and medium-sized enterprises perceive the value of AI, lightweight and low-cost AI SaaS tools should be promoted, along with subsidies for technological upgrades and policies to lower digital transformation barriers [8] Group 5: Transition from "Scientific Content" to "Economic Value" - Guangdong's "scientific content" is evident in high policy precision, strong innovation practices among leading enterprises, and an active talent ecosystem [9] - The key path to converting "scientific content" into "economic value" involves building an AI industry innovation alliance, improving the "listing and hanging" mechanism for technology transfer, and creating a talent hub for AI [9][10]