11月24日，首届"绿智未来"可持续发展全球挑战赛决赛暨颁奖典礼在深圳大学城国际会议中心落幕。本 次挑战赛由祥峰投资中国基金与淡马锡基金会联合主办，聚焦绿色科技领域创新，旨在发掘技术先进、 商业可行的优质项目，为全球可持续发展目标落地注入中国动能。 值得关注的是，此次是淡马锡基金会首次将绿色相关赛事从新加坡、印尼、越南等东南亚地区延伸至中 国。祥峰投资推动赛事落地，正是看中中国庞大创业群体，以及强劲的绿色技术创新能力，希望借助中 国市场潜力推动绿色经济国际化。 新加坡外交部兼内政部高级政务部长、国会议员沈颖在致辞中指出，本次挑战赛是新中两国多领域长期 双边合作的生动实践。她肯定了中国在绿色转型领域的全球引领作用，强调气候变化作为全球性挑战， 唯有通过跨国跨界协同协作，才能推动可规模化的可持续发展解决方案落地见效。 祥峰中国创始管理合伙人郑俊聪表示，当前全球气候危机日益严峻，中国在绿色转型方面成效显著。此 次挑战赛以推动"绿色"与"科技"深度融合为核心，致力于破解可持续发展领域的关键难题。祥峰中国将 为优胜项目提供全方位支持，依托中国创新力量，共建永续宜居的"绿智未来"。 淡马锡基金会执行董事兼首席执行长黄文雄 ...

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]