责任编辑：何俊熹 新浪科技讯 12月11日下午消息，蚂蚁数科CEO赵闻飙在生态伙伴大会上的表态，"AI的真正价值不仅在 于技术的先进性，更在于能否深入产业一线、解决实际问题。"为当下火热的AI产业锚定了务实方向。 新浪科技了解到，过去一年，蚂蚁数科以"技术落地"为核心目标，推动AI从实验室走进真实业务场景， 聚焦金融、能源、交通、制造等关键领域，携手近20家头部伙伴上架100余个智能体联合解决方案，宁 波银行、上海银行、新华人寿、富邦银行、昆山农商行等一批金融机构，正基于蚂蚁数科自研的金融推 理大模型，打造专属"AI大脑"。目前，蚂蚁数科服务已覆盖100%的国有股份制银行、超60%的地方性 商业银行及数百家金融机构。 目前，蚂蚁数科正将经过实践验证的AI方案推向全球：今年10月，其入选香港金融管理局生成式AI沙 盒项目，为沙盒提供AI智能体服务与AI安全产品，助力提升香港地区银行的运营效率、用户体验与风 险防控能力。目前，蚂蚁数科已服务南洋商业银行、渣打银行等超百家海外金融机构。 2025年，蚂蚁数科已与300家合作伙伴建立深度合作，共同服务超13000家终端客户。基于全年实践与伙 伴反馈，蚂蚁数科在大会上正 ...

"AI的真正价值不仅在于技术的先进性，更在于能否深入产业一线、解决实际问题。"12月11日，蚂蚁数科CEO赵闻飙在生态伙伴大会上的表态，为当下火热 的AI产业锚定了务实方向。据悉，这家AI to B服务商在成绩上足够惊喜，尽管低调了一年，但其已经不动声色地进入了中国智能体开发平台的领导者象 限。 图注：蚂蚁数科CEO赵闻飙 数据显示，过去一年，蚂蚁数科以"技术落地"为核心目标，推动AI从实验室走进真实业务场景，聚焦金融、能源、交通、制造等关键领域，携手近20家头部 伙伴上架100余个智能体联合解决方案，真正实现了"客户愿意用、持续用"的产业价值。 从最难场景切入：成为金融行业AI转型首选 客户的选择是最好的评价。产业AI落地的最大难点，往往藏在规则最复杂、要求最严苛的场景中。面对行业不确定性，蚂蚁数科做出"反共识"选择——将突 破口锁定在数据门槛最高、合规要求最严的金融领域。这种战略定力迅速转化为市场成果：目前其服务已覆盖100%的国有股份制银行、超60%的地方性商 业银行及数百家金融机构，成为金融行业AI转型的首选伙伴。 宁波银行、上海银行、新华人寿、富邦银行、昆山农商行等一批金融机构，正基于蚂蚁数科自研的 ...

Core Insights - The 2025 Bund Conference in Shanghai highlights the evolution of fintech from a novel concept to an integral part of daily life, focusing on Real World Assets (RWA), token economy, smart investment, and AI for good [1][3][8] Group 1: Fintech Integration - Fintech has become deeply integrated into urban life in Shanghai, moving beyond theoretical discussions to practical applications that benefit small businesses and the general public [1][3] - The financing of the Malu grape through a digital asset model at the Shanghai Data Exchange exemplifies the shift towards practical applications of fintech, where investors acquire rights across the entire agricultural value chain [2][3] Group 2: AI and Financial Services - Ant Financial's launch of the first financial reasoning large model in China signifies a major advancement in AI's role in the financial sector, enabling better understanding of complex semantics and user needs [2][4] - A Shanghai bank has implemented this AI model in its mobile banking system, enhancing customer satisfaction and increasing monthly active users by 25% [2][4] Group 3: Global Positioning - Shanghai is positioned as a global leader in fintech, with five cities in China ranking among the top 20 fintech centers worldwide, surpassing the United States [4][5] - The Shanghai Financial Technology Industry Alliance's report places Shanghai third in the global fintech center development index, indicating its competitive edge [4][5] Group 4: Policy and Innovation - The Shanghai government has introduced a comprehensive action plan with 31 policy measures to enhance the city's fintech competitiveness, reflecting a strong commitment to fostering innovation [4][6] - The city has seen significant advancements in AI applications across various financial institutions, with nine vertical large models already registered [5][6] Group 5: Grassroots Impact - Innovations like the "Dazhanque" system by MyBank demonstrate the grassroots impact of fintech, providing precise credit services to farmers, with a total credit issuance of 199 billion yuan [7][8] - The Bund Conference has evolved into one of Asia's top fintech events, showcasing the city's growing influence and attracting global attention [6][7]

Group 1 - The core viewpoint is that the 科创创业50ETF fund (588660) has shown significant growth, with a 3.17% increase as of August 18, 2025, marking a six-day consecutive rise and reaching a new high since its launch [1] - The fund has accumulated an 8.52% increase over the past week as of August 15, 2025, indicating strong performance in the market [1] - Several technology companies have recently announced advancements in large model technologies, including OpenAI's GPT-5, Tencent's mixed reality model, Alibaba's AI glasses, and Ant Group's financial reasoning model, showcasing diverse applications and technological highlights [1] Group 2 - 海通国际 highlights that the large-scale deployment of AI is reshaping the semiconductor roadmap, with innovations concentrated in five key areas: advanced logic, next-generation high-performance DRAM, high-bandwidth storage and stacking, advanced packaging, and power semiconductors [2] - Applied Materials anticipates that its packaging business revenue will double in the coming years, exceeding $3 billion annually, becoming a core segment with high visibility and growth certainty [2] - The semiconductor industry is entering a new growth cycle, supported by over 100 wafer fabs under construction or expansion globally, driven by increased infrastructure investment in AI [2] Group 3 - The MACD golden cross signal has formed, indicating positive momentum in certain stocks [3]

Core Insights - Ant Group's Ant Financial Technology announced the launch of China's first commercial large model focused on financial reasoning at the World Artificial Intelligence Conference (WAIC) [1] - The introduction of the Finova evaluation benchmark and the DeepFinance training dataset is seen as a significant breakthrough in the AI application within the financial sector [1] Industry Pain Points - Despite increasing investments in AI by global financial institutions, the penetration rate of AI in core business scenarios remains low, with 93% of financial institutions expecting AI to enhance profits in the next five years [2] - A projected increase of 9% in banking profits, amounting to $170 billion, is anticipated by 2028 due to AI [2] - The complexity and specialized nature of financial scenarios create significant barriers to the application of AI, leading to a cautious approach from many institutions [4][5] Ant Group's Strategy - Ant Group's CTO emphasized a focus on vertical depth in financial and energy sectors rather than developing a general-purpose model, aiming to build a competitive edge [6] - The newly launched financial model addresses complex reasoning needs in finance through a two-phase training process, significantly enhancing its professional performance [6] - The integration of a safety assessment layer ensures compliance with financial standards, addressing the high-stakes nature of financial applications [6] Future Development Trends - The future of financial AI is expected to transition from being a tool to becoming a decision-maker, with multi-agent collaboration becoming the norm [8] - Ant Group's open-sourcing of the DeepFinance dataset aims to tackle the industry's data scarcity issue, promoting a shift towards more capable AI systems [8] - The competition in the financial AI space will increasingly revolve around compliance and accountability, with a focus on the penetration of reasoning models and cost democratization [9]