证券代码：000997 证券简称：新大陆 公告编号：2025-071 新大陆数字技术股份有限公司 关于股份回购实施完成暨股份变动的公告 本公司及董事会全体成员保证信息披露内容的真实、准确、完整，没有虚假记载、误导 性陈述或重大遗漏。 一、回购股份的基本情况 新大陆数字技术股份有限公司（以下简称"公司"）分别于 2024 年 10 月 25 日、2024 年 12 月 3 日召开了第九届董事会第三次会议、2024 年第一次临时 股东会，审议通过了《关于以集中竞价交易方式回购公司股份方案的议案》。公 司使用自有或自筹资金以集中竞价交易方式回购公司已在境内发行上市人民币 普通股（A 股）股票，回购资金总额不低于人民币 3.50 亿元（含），不超过人 民币 7.00 亿元（含），回购股份价格不超过人民币 36.79 元/股（含），具体回 购资金总额以回购期满时实际回购股份使用的资金总额为准。本次回购股份的实 施期限为自股东会审议通过回购股份方案之日起 12 个月内。（内容详见公司 2024 年 10 月 26 日披露的《关于以集中竞价交易方式回购公司股份方案的公告》、2024 年 12 月 4 日披露的《2024 年 ...

新大陆数字技术股份有限公司 章 程 二〇二五年十二月 新大陆数字技术股份有限公司章程 目 录 第一章 总则 第二章 经营宗旨和范围 第三章 股份 第五章 董事和董事会 第六章 高级管理人员 1 第一节 股份发行 第二节 股份增减和回购 第三节 股份转让 第四章 股东和股东会 第一节 股东的一般规定 第二节 控股股东和实际控制人 第三节 股东会的一般规定 第四节 股东会的召集 第五节 股东会的提案与通知 第六节 股东会的召开 第七节 股东会的表决和决议 第一节 董事的一般规定 第二节 董事会 第三节 独立董事 第四节 董事会专门委员会 新大陆数字技术股份有限公司章程 第八章 通知与公告 2 第七章 财务会计制度、利润分配和审计 第一节 财务会计制度 第二节 内部审计 第三节 会计师事务所的聘任 第一节 通知 第二节 公告 第九章 合并、分立、增资、减资、解散和清算 第一节 合并、分立、增资和减资 第二节 解散和清算 第十章 修改章程 第十一章 附则 新大陆数字技术股份有限公司章程 第一章 总 则 第一条 为维护公司、股东、职工和债权人的合法权益，规范公司的组织和 行为，根据《中华人民共和国公司法》（以下简称《公 ...

本公司及董事会全体成员保证信息披露内容的真实、准确、完整，没有虚假记载、误导 性陈述或重大遗漏。 新大陆数字技术股份有限公司（以下简称"公司"）于 2025 年 8 月 25 日和 2025 年 10 月 30 日分别召开了第九届董事会第十一次会议决议、第九届监事会第 五次会议和2025年第一次临时股东会，审议通过了《关于修订<公司章程>的议案》， 同意不再设置监事会，由董事会审计委员会行使监事会的职权，同时对《公司章 程》中相关条款进行修订，授权董事会或其授权人士全权负责向相关登记机关办 理章程备案等工商变更手续，并且公司董事会或其授权人士有权按照公司登记机 关或其他政府有关主管部门提出的审批意见或要求，对本次修订后的《公司章程》 的相关条款进行必要的修改。具体内容详见同日披露在《中国证券报》、《证券 时报》、《上海证券报》及巨潮资讯网（http://www.cninfo.com.cn）的《关于修订 <公司章程>的公告》（公告编号：2025-053）。 近日，公司完成了相关工商变更登记手续及备案手续。根据福建省市场监督 管理局的要求，公司对《公司章程》进行了如下调整：1、"第八条 公司董事长 为公司的法定代 ...

新大陆公告称，公司于2024年相关会议审议通过股份回购方案，拟用3.5 - 7亿元自有或自筹资金回购股 份，价格不超36.79元/股。截至2025年10月17日，已完成回购，累计回购14,138,825股，占总股本 1.40%，最高成交价30元/股，最低20.59元/股，支付总金额37,994.85万元。本次回购符合既定方案，对 公司无不利影响，相关主体在回购期间无买卖公司股票情形。回购股份拟用于股权激励或员工持股计 划，若36个月内未使用将注销。 ...

证券日报网讯 12月2日，新大陆在互动平台回答投资者提问时表示，截至2025年11月28日，公司股东人 数为67371户。 （文章来源：证券日报） ...

Investment Rating - Investment advice: The report suggests a focus on the accelerating US-China space computing competition, highlighting key companies to watch [3][9]. Core Insights - The US-China space computing race is intensifying, with Musk proposing a space AI satellite plan and Beijing initiating the construction of a gigawatt-level space data center [3][9]. - The US "Genesis Plan" aims to integrate resources from 17 national laboratories to accelerate foundational research in key areas such as nuclear fusion and biotechnology [3][9]. - Chinese companies are demonstrating full-stack AI capabilities, with Alibaba's Qwen app achieving over 10 million downloads and DeepSeek's math model reaching international gold standards [3][9]. Summary by Sections Space Computing Developments - Musk envisions deploying AI computing centers in space within 4-5 years, with plans for 100 gigawatts of solar AI satellites annually, which is equivalent to a quarter of US power [3][9]. - Beijing's plan includes a three-phase approach for the gigawatt-level space data center, focusing on key technology breakthroughs, cost-reducing assembly, and mass production from 2025 to 2035 [3][9]. US Research Initiatives - The "Genesis Plan" was initiated by an executive order in November 2025, aiming to identify 20 national challenges within 60 days and showcase initial results within 270 days [3][9]. - Collaboration with private sector companies like NVIDIA and AMD is part of the plan to enhance computational resources for scientific research [3][9]. Chinese AI Innovations - Alibaba's Qwen app, based on the Qwen3 model, has become one of the fastest-growing AI applications globally, indicating a significant breakthrough in the AI to consumer market [3][9]. - DeepSeek's math model, DeepSeekMath-V2, has introduced a self-verification mechanism, achieving gold-level performance in international competitions [3][9].

Core Insights - The competition in space computing between China and the US is accelerating, with significant developments in AI and space infrastructure [2][3][4] Group 1: Space Computing Developments - Elon Musk has proposed a vision for deploying AI computing centers in space within the next four to five years, aiming to deploy 100 GW of solar-powered AI satellites annually, which would represent a quarter of the total electricity consumption in the US [3] - Beijing has officially announced plans to construct a gigawatt-level space data center in the 700-800 km dawn-dusk orbit, consisting of three subsystems: space computing, relay transmission, and ground control [3] - The project will be executed in three phases: from 2025 to 2027, focusing on key technologies; from 2028 to 2030, emphasizing on-orbit assembly technology; and from 2031 to 2035, aiming for mass production and large-scale networking of satellites [3] Group 2: US Initiatives - The US government has launched the "Genesis Project," a national AI science initiative aimed at accelerating breakthroughs in basic science by integrating national research resources [4] - The project, initiated by an executive order signed by President Trump in November 2025, involves the Department of Energy consolidating resources from 17 national laboratories to create AI foundational models and automated experimental platforms [4] - The initiative includes a timeline for identifying approximately 20 national technology challenges within 60 days and demonstrating initial proof-of-concept results within 270 days, with collaboration from private sector companies like NVIDIA and AMD [4] Group 3: Chinese AI Innovations - Chinese companies are demonstrating full-stack technological capabilities in AI, rapidly advancing from application-level innovations to foundational theoretical breakthroughs [5] - Alibaba's AI assistant "Qwen" app achieved over 10 million downloads within a week of its public testing, making it the fastest-growing AI application globally, leveraging the open-source model Qwen3 [5] - DeepSeek has released an open-source mathematical reasoning model, DeepSeekMath-V2, with 685 billion parameters, achieving gold medal standards in international mathematics competitions, marking a significant milestone for open-source models [5]

Group 1: Fixed Income Research - The recent correlation between government bond futures and equity markets indicates a new phase, moving beyond the previous simple "see-saw" logic [3][4] - As of November 21, the 10-day correlation between TL contracts and the CSI 300 index has significantly increased to a historical high since July 2025, suggesting a complex relationship [3][4] - The future dynamics of government bond futures are expected to be influenced by equity market movements, indicating a potential for better resilience in bond futures if growth expectations change [4] Group 2: Computer Industry Research - The release of DeepSeek R1 in 2025 is anticipated to significantly enhance general model reasoning capabilities and reduce costs, marking a turning point for AI deployment in financial institutions [5][6] - AI applications are rapidly penetrating core business and back-office scenarios in various financial institutions, aiming to optimize internal operations and enhance external value [6][7] - Large financial institutions are focusing on private deployment of large models, while smaller institutions are pursuing cost-effective solutions for agile development [8] Group 3: Investment Recommendations - Recommended stocks in financial information services include Tonghuashun and Jiufang Zhitu Holdings, while third-party payment recommendations include Newland and New Guodu [6][7] - In the banking IT sector, recommended stocks include Yuxin Technology and Jingbeifang, with additional recommendations in securities IT and insurance IT sectors [7][8]

Core Viewpoint - CATL is expanding its focus from electric vehicles to a comprehensive "electric society," aiming to integrate green transportation across land, sea, and air, with a particular emphasis on the emerging low-altitude economy, projected to reach a market size of 4 trillion yuan by 2035 [1][2]. Group 1: Low-altitude Economy Development - The low-altitude economy is currently in its early development stage, facing several constraints that need to be addressed [1]. - CATL is motivated to expand its battery applications into this new sector, leveraging its position as an industry leader to reshape the low-altitude economy and enhance the integration of renewable energy technologies across various sectors [1][2]. Group 2: Innovative Solutions - CATL has introduced the world's first zero-carbon water airport designed specifically for eVTOL aircraft, which features a large deck for takeoff and landing, and a cabin serving as a waiting area and maintenance room [4][6]. - This water airport is powered by a solar energy and battery system, enabling rapid charging for eVTOLs and supporting all-weather operations [4][6]. Group 3: Infrastructure and Efficiency - The zero-carbon water airport addresses traditional low-altitude infrastructure challenges such as site selection, slow deployment, and heavy maintenance, significantly improving efficiency and reducing overall costs [6][8]. - The proposed "sea and air integration" solution aims to fill the gap in low-altitude smart infrastructure, potentially creating the most intelligent and green low-altitude infrastructure network globally within the next 5-10 years [8]. Group 4: Application Scenarios - The "sea and air integration" solution is designed to meet various application needs, including marine energy platform operations, high-frequency commuting, marine tourism, emergency rescue, and mobile airport cluster operations [11]. - Initial demonstrations have shown that eVTOLs can drastically reduce travel times to offshore wind farms and oil platforms, enhancing operational efficiency by over ten times [12]. Group 5: Future Prospects - CATL plans to establish a flexible network of vessels and eVTOLs that can adapt to seasonal demands and project requirements, providing a level of operational flexibility not achievable with traditional infrastructure [13]. - The introduction of the "sea and air integration" solution signifies CATL's expansion of battery products from land vehicles to low-altitude aviation, with the potential for large-scale application [14].

Investment Rating - The report suggests a positive investment outlook for the AI and financial services sector, highlighting the potential for significant advancements and cost reductions due to the release of DeepSeek R1 in 2025, which is expected to be a turning point for localized AI deployment in financial institutions [7]. Core Insights - AI applications are rapidly penetrating core business areas and back-office functions of various financial institutions, enhancing both internal efficiency and external value [1][7]. - The report identifies that most financial institutions are currently in the exploration and accumulation phase of AI application, with deep application being an inevitable trend [14]. - AI is expected to transform financial business processes and organizational structures, ushering in a new era of digital intelligence in finance [7]. Summary by Sections Investment Recommendations - The report recommends focusing on several sectors within the financial industry, including: 1. Financial information services with key stocks like Tonghuashun, Jiufang Zhitu Holdings, and Guiding Compass [8]. 2. Third-party payment services, recommending stocks such as Newland and Newguodu, with related stocks like Lakala [9]. 3. Banking IT, with recommended stocks including Yuxin Technology, Jingbeifang, and Guodian Yuntong [9]. 4. Securities IT, recommending stocks like Hengsheng Electronics and Jinzhen Shares [10]. 5. Insurance IT, with recommended stocks including Xinzhi Software and Zhongke Software [11]. Application Stages - Financial institutions' AI applications are categorized into three stages: 1. Initial exploration of large model applications. 2. Development of certain model application capabilities with data accumulation. 3. Achieving deep application of large models [14]. Application Value - AI applications provide value through: 1. Internal cost reduction and efficiency improvement, optimizing operational management and core business processes [21]. 2. External value extraction, enhancing marketing and customer service to improve sales conversion and customer value [21]. Application Pathways - Different types of financial institutions exhibit varied pathways for AI application deployment: 1. Large institutions leverage strong self-research capabilities for deep AI application penetration. 2. Smaller institutions focus on cost-effective solutions, utilizing lightweight models and integrated systems for agile development [26]. AI Empowerment in Banking - AI is enhancing front-office quality and efficiency, optimizing back-office processes across various banking functions [43]. - In credit risk management, AI models can analyze financial data to identify potential risks and improve decision-making processes [47]. AI Empowerment in Securities - The number of securities firms exploring large models is rapidly increasing, with applications extending across various business functions, including investment advisory and research [58][59].