科技变革下，产业园区发展逻辑迎来重塑

Core Insights - The development logic of industrial parks is being reshaped under the influence of technological transformation and governance innovation, becoming a hot topic in the industry [1] - The evolution path of artificial intelligence is clearly outlined as "foundational capabilities - specialized architecture breakthroughs - vertical scene deepening," with ChatGPT initiating the intelligent era and DeepSeek expanding into fields like medical diagnosis and financial analysis [1] - The global competitive landscape is undergoing structural reconstruction, with AI becoming a microcosm of great power competition, where corporate giants, super city clusters, innovation ecosystems, and capital matrices have evolved into core competitive dimensions [1] Industry Trends - The competition paradigm of "city clusters + big finance" is driving industrial parks to transform into regional innovation hubs, exemplified by Shanghai Zhangjiang's construction of a large model industrial ecosystem and collaboration with Suzhou and Hangzhou to form a triangle of AI and biomedicine innovation in the Yangtze River Delta [1] - Shenzhen Qianhai is piloting a "regulatory sandbox" mechanism to allow cross-border investment by industrial funds, creating an experimental field for institutional innovation for tech companies [1] - The dual drive of technological revolution and institutional innovation is leading to an ecological evolution of industrial parks [1] Data-Driven Transformation - The transformation of industrial parks is witnessing a new model where "technology empowerment × institutional adaptation" creates a multiplier effect, catalyzing the evolution towards open innovation communities [2] - Data-driven approaches are foundational for smart parks, utilizing IoT, 5G, and other technologies to collect data on equipment, environment, and personnel, thereby constructing a unified data platform to break down information silos [2] - Core aspects include comprehensive data integration and intelligent decision-making, leveraging AI for situational awareness and decision optimization within the parks [2]