Core Insights - The "Green Intelligence Future" Global Sustainability Challenge concluded in Shenzhen, focusing on innovative green technology projects to support global sustainable development goals [1][3] - The event highlighted China's leadership in green transformation and the importance of international collaboration to address climate change [1][2] Group 1: Event Overview - The challenge was co-hosted by Xiangfeng Investment China Fund and Temasek Foundation, aiming to discover advanced and commercially viable projects in the green technology sector [1] - Over 1,000 green technology solutions from more than 70 countries and regions participated, with 10 projects reaching the finals [3] Group 2: Key Themes and Discussions - Experts emphasized the role of charitable capital as "patient" and "catalytic" to bridge the investment gap in climate industries, advocating for technology sharing and capital linkage between China and Singapore [2] - The integration of technology and industry innovation was discussed, focusing on enhancing high-quality tech supply and the transformation of scientific achievements [2] Group 3: Award Winners and Innovations - The Tianjin Feiman Power Technology Co., Ltd. won the Excellence Award, while Shenzhen Daotong New Energy Co., Ltd., ROTOBOOST, and Shenzhen Zhonghe Energy Storage Technology Co., Ltd. received Elite Awards for their breakthroughs in CO resource utilization, battery regeneration, emission reduction in the steel industry, and long-duration energy storage technology [3] - The challenge marked Temasek Foundation's first extension of green-related competitions to China, recognizing the country's vast entrepreneurial ecosystem and strong green technology innovation capabilities [3] Group 4: Future Outlook - Xiangfeng Investment remains committed to long-term investments in the green sector, despite lower exit activity compared to TMT and consumer sectors, believing in the long-term social and commercial value of green initiatives [3]

10月16日上午，联合国气候变化全球创新中心第十六届系统性创新研讨会在深圳生物圈三号碳中和实验 园区成功举办。本次会议由联合国气候变化全球创新中心主办，深石集团协办。 圆桌讨论环节由深圳理工大学未来农业研究院讲席教授、院长杨贞标主持，来自政府机构、国内外企业 及国际组织的代表围绕"可持续农业助力零碳城市食品系统转型"展开深入交流，探讨气候变化背景下粮 食安全与农业创新的全球挑战，并分享可持续农业和畜牧业创新项目的成功经验及推广策略。嘉宾们一 致认为，推动绿色农业发展需要政策、技术与市场的协同创新，并在全球南方等地区加强成功模式的复 制与落地，以加速城市食品系统的绿色低碳转型。 作为COP30的重要预热活动，本次会议以"南南合作－助力零碳城市转型"为主题，不仅聚焦"能源转型 助力净零未来"、"可持续供应链与循环经济及净零社区路径"以及"可持续农业与食品系统变革"三大方 向，也为各方交流合作、创新经验分享及解决方案落地提供了高效平台。未来，深石集团将继续发挥产 业与技术优势，加速全球零碳城市建设进程，为实现可持续发展目标贡献自己的力量。 此外，深圳理工大学党委书记朱迪俭在致辞时表示，深理工将继续在绿色低碳发展、人 ...

Core Insights - The integration of AI and sustainability is seen as a strategic necessity for future competitiveness, rather than an optional approach for companies [9][10] - Companies that embrace the "AI + sustainability" model are expected to gain a competitive edge in addressing global challenges such as climate change and regulatory demands [4][9] Group 1: AI and Sustainability Synergy - AI is viewed as a powerful engine for productivity enhancement, while sustainability is often perceived as a cost burden; combining both can create significant synergies [2] - The global race in AI innovation is accelerating, with governments and companies striving to push boundaries, but neglecting sustainable infrastructure could be shortsighted [2][10] - Successful integration of AI into sustainable practices allows companies to optimize operations and accelerate the adoption of low-carbon technologies [4][5] Group 2: Industrial AI and Market Transformation - A report by Reuters and Siemens highlights the potential of industrial AI to reshape industries and drive large-scale sustainable development [5] - AI can act as a "super booster" for industrial transformation, aiding in the deployment and optimization of renewable energy, energy-efficient manufacturing, and electric transportation [5] - Companies need to invest in technology, talent, and data infrastructure to fully unlock the value of AI in sustainability [5][6] Group 3: AI's Impact on Emission Reduction - A simulation study by SystemiQ indicates that AI could help reduce global carbon emissions by up to 6 billion tons by 2035 through accelerated deployment of low-carbon technologies [6] - AI applications in renewable energy optimization, alternative protein production, and predictive maintenance are crucial for achieving significant emission reductions [6] Group 4: Urban Infrastructure and Mobility - AI is significantly influencing urban infrastructure and transportation systems, as seen in projects like Saudi Arabia's NEOM, which integrates AI for energy efficiency and carbon-free transportation [7] - Singapore has implemented AI traffic management systems to reduce congestion and carbon emissions, contributing to a smarter and greener urban environment [7] Group 5: Global Trends and Opportunities - Different regions are advancing the integration of AI and sustainability in various ways, with China embedding AI in key green industries and the EU promoting a dual transformation strategy [10] - Companies that can quickly adapt to AI-driven sustainable development will define future standards for innovation, environmental responsibility, and long-term competitive advantage [10]