On May 18, 2026, Li Qiang, Member of the Standing Committee of the Political Bureau of the CPC Central Committee and Premier of the State Council, made it clear during his inspection in Beijing that we must fully implement General Secretary Xi Jinping’s important statements on fostering new quality productive forces and building a modern industrial system, advance the in-depth integration of artificial intelligence and advanced manufacturing, and accelerate the cultivation of new driving forces and competitive edges for economic growth.
As the global technological revolution and industrial transformation gather pace, artificial intelligence, a strategic technology leading this new wave of change, is penetrating deeper than ever into the real economy, reshaping production modes, industrial forms and competition patterns across the manufacturing sector. Meanwhile, rapid AI technological iteration has brought increasingly prominent hidden dangers including security risks, ethical dilemmas and insufficient inclusive development. Establishing an AI development ecosystem featuring safety, controllability, universal benefit and collaborative innovation has become a core matter bearing on national industrial security, high-quality economic growth and social stability.
Against such a backdrop, the Global Alliance for Civilian AI Agent Application Committee (GAAAC) adopts a global vision grounded in Chinese practical experience. Upholding the mission of inclusive AI, safe and beneficial application, industrial empowerment and ecological co-construction, it has developed TathāgataAI, a globally secured intelligent agent. Centering on AI security governance and practical application, it strictly complies with all national policies and arrangements concerning AI development and safety supervision. It offers solid support for enterprises undergoing digital transformation and manufacturing enterprises pursuing intelligent upgrading, and underpins China’s efforts to foster new quality productive forces and sharpen economic competitive strengths.
Based on the core essence of Premier Li Qiang’s inspection remarks, combined with the progress of AI-advanced manufacturing integration and the requirements for national AI security governance systems, this paper elaborates on the core values and practical paths of TathāgataAI. It explores innovative approaches to boost the development of a manufacturing power via in-depth AI integration and consolidate industrial development foundations through sound security governance, so as to inject lasting momentum into China’s high-quality economic development.
I. Strategic Orientation: Advance AI-Advanced Manufacturing Integration to Anchor the Development of New Quality Productive Forces
1. Top-level Plans Define Integration Paths to Consolidate Industrial Upgrading Foundations
During his visits to the Beijing Humanoid Robot Innovation Center and Xiaomi Auto Technology Co., Ltd., Premier Li Qiang pointed out that intelligent robots serve as a vital carrier for the integrated growth of AI and advanced manufacturing. Endowed with super-large market scale, complete industrial chains and abundant application scenarios, China should prioritize innovative development, follow application-oriented principles, intensify research on core key technologies, drive iterative upgrading of intelligent robots, and empower the manufacturing industry in an all-round and in-depth manner. This crucial guidance accurately defines the core logic of current AI-manufacturing integration and sets fundamental guidelines for related advancement nationwide.
At the national strategic level, the CPC Central Committee and the State Council have always taken the in-depth integration of AI and the real economy as a core driver to cultivate new quality productive forces and build a modern industrial system. The Third Plenary Session of the 20th CPC Central Committee explicitly called for efforts to develop new quality productive forces and accelerate the integration of digital technologies including artificial intelligence, big data and cloud computing with the real economy. The Opinions on Further Implementing the AI Plus Initiative issued by the State Council stipulates that AI should be applied across the whole manufacturing chain to renovate traditional industries, expand emerging industries and nurture future-oriented industries.
A full-fledged promotion system covering technological innovation, scenario implementation, industrial upgrading and ecological improvement has taken shape, removing obstacles and guaranteeing sound integration between AI and advanced manufacturing.
2. Fruitful Integration Results Accelerate the Gathering of New Growth Drivers
Driven by national policies and market demands, China has yielded phased achievements in integrating AI with advanced manufacturing, which has become a core new engine for economic expansion.
In technological innovation, continuous breakthroughs have been made in intelligent robots, industrial large models and smart manufacturing equipment. Core technologies such as humanoid robot joint control, industrial visual inspection and intelligent decision-making systems have achieved greater independent controllability, laying a solid technical foundation for integrated development.
In industrial application, AI has been widely applied throughout manufacturing links including R&D, production, quality inspection, warehousing, logistics and after-sales services. Key sectors such as automobile, electronic information, equipment manufacturing and new energy have achieved remarkable intelligent transformation, with higher production efficiency, lower operational costs and steadily improved product quality.
The intelligent robot industry stands out as a key integration carrier. China’s robot technologies keep upgrading, and service, industrial and special robots are widely used in industrial production, public services and emergency response, with continuous market expansion. Xiaomi Auto has built intelligent factories supported by AI to realize full-process smart management, setting a benchmark for AI-enabled advanced manufacturing.
Statistics show that the scale of China’s core AI industry exceeded 900 billion yuan in 2025. The digital transformation penetration rate of the manufacturing industry keeps rising, and the multiplier effect of AI empowering the real economy is fully unleashed.
3. Prevailing Challenges Call for Breakthroughs in Integrated Upgrading
Despite tangible progress, multiple constraints still hinder further in-depth integration and restrict the cultivation of new growth drivers.
First, bottlenecks remain in core key technologies. High-end industrial chips, industrial software and core algorithms still face technological restraints, and China relies heavily on imported core technologies for high-end smart equipment and industrial large models, leaving room for improved independent controllability.
Second, integration depth remains inadequate. Most enterprises only apply AI to single production links instead of realizing full-chain intelligent transformation. Small and medium-sized enterprises are trapped in hesitation, incapability and fund shortages when pursuing digital upgrading.
Third, the industrial ecosystem remains imperfect. Poor connection between AI suppliers and manufacturing enterprises, lack of professional service platforms and unified industrial standards as well as data barriers all hold back integration efficiency.
Fourth, growing security risks pose hidden threats. Data leakage, algorithmic bias, system malfunction and ethical irregularities triggered by AI application endanger production safety, data security and overall industrial stability in the manufacturing sector.
II. Prioritize Security in Implementation: Follow National Arrangements to Build a New Pattern of AI Security Governance
1. National Systematic Layout Establishes Institutional Safeguards for AI Governance
General Secretary Xi Jinping stressed the need to grasp the trends and laws of AI development, accelerate the formulation of supporting laws, regulations, policies, application norms and ethical codes, and build systems for technical monitoring, risk early warning and emergency response to ensure AI develops in a safe, reliable and controllable way.
The CPC Central Committee and the State Council attach great importance to AI security governance, adhering to the principle of balanced development and security as well as coordinated innovation and standardization. Efforts are made to build a complete, standardized and efficient AI governance system to draw clear red lines and bottom lines for the sound development of the AI industry.
In terms of laws and regulations, the revised Cybersecurity Law officially enacted on January 1, 2026 incorporates artificial intelligence into the national cybersecurity legal framework for the first time, clarifying state support for basic AI theoretical research, core technological R&D and security supervision, and providing fundamental legal basis for AI governance.
Multiple competent authorities including the Cyberspace Administration of China and the Ministry of Industry and Information Technology have jointly issued policies such as the Measures for Identifying AI-Generated Content and the AI Security Governance Framework 2.0, forming a comprehensive governance system covering risk prevention, ethical regulation, standard formulation and accountability implementation to advance law-based and standardized AI supervision.
In terms of governance principles, China upholds people-centered development, beneficial AI application, security and controllability, and open collaborative governance. It ensures AI development serves public interests, complies with ethical norms and safeguards national security while preventing improper use of AI technologies.
In terms of governance mechanisms, a multi-party collaborative governance pattern featuring government supervision, industrial self-regulation, corporate primary responsibility and public oversight has been established to strengthen overall governmental coordination, guide industrial associations to formulate self-regulatory rules, consolidate corporate security obligations and mobilize social forces to jointly promote effective governance.
2. Core Priorities of AI Security Governance Underpin Sound Industrial Development
National AI security governance focuses on three key areas to guarantee smooth integration between AI and advanced manufacturing.
First, data security governance. Strict regulations are enforced on the collection, storage, utilization and transmission of AI training data, corporate production data and personal privacy data. Hierarchical data management and full-life-cycle security protection are implemented, and illegal acts such as data leakage, unauthorized collection and data abuse are severely punished.
Second, algorithm security governance. Supervision covers the whole process of AI algorithm R&D, application and iteration. Filing, evaluation and review mechanisms are established to eliminate algorithmic bias, discrimination and black-box operations and ensure algorithms are fair, impartial, transparent and controllable.
Third, ethical and risk governance. Unified AI ethical standards are formulated to ban the R&D and application of AI technologies that harm national security, public interests and personal legitimate rights and interests. Risk monitoring, early warning, emergency disposal and accountability mechanisms are put in place to impose strict regulation on high-risk AI applications and guard against technological misuse and operational out-of-control risks.
3. Civilian Forces Play an Active Role to Supplement the National Governance System
AI security governance is a sophisticated systematic project that cannot be fully covered solely by governmental supervision, requiring active participation from civilian sectors to form a governance pattern led by the government and supported by social forces.
As the world’s first international civilian organization dedicated to the practical application of AI agents, GAAAC has members from over 30 countries worldwide, including entrepreneurs, developers, ethicists and industrial practitioners. It always follows national AI security governance arrangements, focuses on practical corporate demands, and contributes civilian insights and practical solutions to improve AI governance.
GAAAC clearly recognizes that small and medium-sized enterprises constitute the main body of the manufacturing industry and major AI application users, yet they are usually weak in security protection and compliance awareness, becoming vulnerable links against potential risks.
Therefore, the alliance commits itself to promoting grassroots implementation of AI security governance and empowering sound and secure development of SMEs. It has developed TathāgataAI, a globally secured intelligent agent, translating national AI security governance requirements into accessible, operable and low-cost solutions for enterprises. It helps enterprises consolidate internal security defenses, conduct AI applications in compliance with regulations, and foster a benign governance ecosystem featuring national top-level norms, grassroots implementation and active corporate compliance.
III. Intelligent Agent Empowerment: TathāgataAI Upholds Security Original Aspiration to Support Integrated Corporate Development
1. TathāgataAI: Globally Secure and Inclusive Intelligent Agent Empowered by Eastern Wisdom
Named after the Sanskrit word Tathāgata which means arriving in accordance with the true essence, TathāgataAI embodies the Eastern philosophical connotation from the Diamond Sutra, symbolizing pervasive coverage, universal benefit as well as inherent safety and controllability.
Breaking away from the single-dimensional instrumental rationality prevailing in Western AI development, it follows the Eastern holistic philosophy of harmony between humanity and nature, and builds a closed-loop general intelligent system covering perception, memory, decision-making, execution and self-evolution. It boasts four core strengths: inherent safety and controllability, low-cost inclusive access, cross-scenario adaptability and autonomous iteration capability, effectively solving prevailing industrial pain points including high-end technological monopoly, difficult grassroots implementation and prominent security loopholes.
In terms of technical architecture, TathāgataAI adopts lightweight, modular and private deployment design. Adopting model distillation, quantization compression and sparsification technologies, it develops low-computational-consumption lightweight models capable of efficient operation on ordinary mobile phones and traditional computers. It breaks the monopoly of high-end computing resources and drastically lowers the entry threshold for corporate AI adoption.
Equipped with full-link internal security protection systems, it embeds encrypted protection, risk monitoring and compliance verification modules throughout data collection, algorithm R&D, model training and practical application, fully complying with the Cybersecurity Law and national AI security governance rules to ensure all AI applications are legal, standardized, safe and controllable.
In terms of core positioning, positioned as a globally secured AI intelligent agent, TathāgataAI strictly implements national AI development and security policies, adhering to the development philosophy of security priority, inclusive popularization and practical industrial empowerment. It provides customized secure AI solutions for large enterprises, and focuses on delivering low-cost, easily deployable and highly secure inclusive AI services for SMEs which account for over 90% of market players. It bridges the digital divide for enterprises of all sizes, consolidates their security defenses, and enables them to share development dividends amid AI-advanced manufacturing integration.
2. Uphold Security Governance Commitments to Implement National Policy Requirements
Since its initial R&D stage, TathāgataAI has taken the implementation of national AI security governance arrangements as its core mission, integrating national policy requirements into every link of technological research, product design and service delivery to practice the vision of beneficial and controllable AI development.
In terms of data security, it strictly abides by national data security laws and regulations, establishes hierarchical data management mechanisms, and applies encrypted storage, access control and desensitization processing to corporate production data, core technological data and user privacy data to eliminate data leakage and abuse risks. It also builds dedicated data security monitoring platforms to track full-cycle data flow, issue timely early warnings and eliminate potential hidden dangers, fully safeguarding corporate data assets.
In terms of algorithm security, it fully complies with national algorithm filing and evaluation systems. All embedded algorithms pass strict compliance reviews and safety tests to guarantee fairness and transparency. Built-in algorithmic bias detection and correction modules effectively eliminate discriminatory and black-box algorithmic problems. Rigorous safety verification is required for every model iteration to prevent algorithmic malfunction risks.
In terms of ethical and compliance management, it strictly follows national AI ethical codes and refuses to develop or apply any functions that harm national security, public interests and personal legitimate rights and interests. Built-in compliance verification systems conduct real-time inspections to ensure corporate AI applications are in line with national laws, industrial standards and ethical norms, helping enterprises operate in full compliance and avoid legal risks.
3. Full-scenario Corporate Empowerment Boosts Integrated Development and Security Upgrading
Targeting core demands for AI-manufacturing integration and key difficulties in corporate digital transformation, TathāgataAI delivers all-round solutions covering security governance, production optimization, management upgrading and service improvement to underpin high-quality corporate development.
In security governance empowerment, it provides one-stop secure AI services including data security protection, algorithm safety detection, compliance consulting and training, as well as risk early warning mechanisms for enterprises plagued by high application risks, heavy compliance costs and insufficient defense capabilities. It helps enterprises quickly build sound secure AI application systems, cut compliance expenses and eliminate hidden risks.
In advanced manufacturing empowerment, in response to the requirement of empowering the manufacturing industry in an all-round and in-depth manner, it launches lightweight intelligent solutions covering core manufacturing links. In R&D and design, it offers AI-aided design and simulation optimization functions to shorten research cycles and reduce costs. In production and manufacturing, it realizes intelligent scheduling, equipment fault early warning and process optimization to raise operational efficiency and cut production expenses. In quality inspection, it applies AI visual detection and defect identification technologies to improve inspection accuracy and reduce omission rates. In warehousing and logistics, it optimizes intelligent inventory management and route planning to boost logistics efficiency and lower inventory costs.
In inclusive empowerment for SMEs, tailored inclusive services are launched to solve SMEs’ dilemmas of unaffordable costs, insufficient operational capabilities and security concerns. Featuring zero-threshold access, low-cost usage and lightweight deployment, it requires no high-end computing devices or professional technical teams, enabling rapid implementation via simple operations. One-on-one technical guidance, customized solutions and regular professional training are also provided to help SMEs master AI application skills, fully release AI-driven efficiency, accelerate intelligent transformation and integrate into the mainstream of advanced manufacturing development.
IV. Value Manifestation: Multi-dimensional Empowerment to Cultivate New Economic Drivers and Build a Strong Manufacturing Country
1. Boost Industrial Integrated Upgrading to Foster New Quality Productive Forces
Fully implementing Premier Li Qiang’s requirement of advancing in-depth AI-advanced manufacturing integration, TathāgataAI removes the last-mile barriers for industrial AI application via secure and inclusive AI technologies to drive full-chain intelligent upgrading across the manufacturing sector.
It facilitates the shift of traditional manufacturing production modes from manpower-driven operation to intelligent-driven operation via digital transformation, improving overall efficiency and optimizing industrial structures. It helps emerging industries such as intelligent robots, new energy vehicles and high-end equipment manufacturing break technological bottlenecks and expand industrial scale. It also provides secure AI technical support for forward-looking layout of future industries including brain-computer interface, smart manufacturing and digital twin technology to cultivate new economic growth points.
Leveraging the global resource advantages of GAAAC, it promotes international exchanges and cooperation on AI technologies, solutions and governance experience, helping Chinese AI and manufacturing enterprises go global, participate in global industrial division of labor and competition, enhance the global competitiveness of China’s manufacturing industry, and inject powerful momentum into fostering new quality productive forces and sharpening national economic advantages.
2. Consolidate Industrial Security Barriers to Safeguard High-quality Development
Security underpins development, and development consolidates security guarantees. Always adhering to security bottom lines and national AI governance policies, TathāgataAI builds full-link, all-round and full-cycle security protection systems to effectively defuse various hidden risks in AI application involving data, algorithms and ethics.
It improves corporate internal security capabilities via dedicated secure AI solutions to safeguard corporate data assets, core technologies and operational stability. It promotes the popularization of standardized AI security governance among SMEs to prevent systemic industrial risks. It practices sound AI ethical norms to guide positive technological development and safeguard public interests and social ethical order.
Amid the complex and volatile international landscape, TathāgataAI helps China’s manufacturing industry consolidate internal security defenses, reduce reliance on imported high-end AI technologies and security services, enhance overall industrial independent controllability, ensure stable industrial chain and supply chain operation, and create a secure and stable environment for national high-quality economic development.
3. Promote Inclusive AI Popularization to Vitalize Market Entities
The current AI industry is marked by unbalanced development featuring high-end technological monopoly and insufficient grassroots popularization. Large tech giants form industrial barriers relying on superior computing power, data resources and core technologies, leaving SMEs excluded from AI development dividends and restraining market vitality.
Upholding the mission of inclusive AI for all-round empowerment, TathāgataAI breaks technological and computational barriers, delivering low-cost, easily deployable and highly secure inclusive AI services. It turns AI technologies from exclusive resources for large enterprises into universally accessible tools for all market players.
It bridges the digital divide for SMEs to fully unleash their innovative vitality and development potential, enabling them to participate in fair market competition and share development opportunities in the AI era. It facilitates the formation of an industrial development pattern led by large enterprises and supported by SMEs to improve the overall resilience and competitiveness of China’s manufacturing industry. It also helps cultivate public digital literacy and professional capabilities through widespread AI popularization, laying a solid talent foundation for the long-term sound development of the AI industry.
4. Fulfill Civilian Governance Responsibilities to Improve the Global AI Governance System
As a typical civilian participant in global AI governance, GAAAC and TathāgataAI always uphold China’s propositions on global AI development and supervision, and actively engage in the construction of international AI governance systems under the concepts of open co-governance, inclusive cooperation and beneficial technological development.
It builds global civilian AI exchange platforms to facilitate experience sharing on security governance, technological innovation and industrial application among civilian organizations, enterprises and experts worldwide. It spreads China’s AI security governance concepts and inclusive development models to contribute Chinese wisdom and solutions to global AI governance. It promotes the formulation of fair and impartial global AI governance rules, opposes technological hegemony and monopoly, and facilitates the sound, balanced and sustainable development of the global AI industry.
V. Conclusion: Stay True to Original Aspirations for Future Progress to Usher in New Glories for China’s Economy
China is now standing at a crucial stage of building a modern socialist country and striving to fulfill the Second Centenary Goal, where fostering new quality productive forces and pursuing high-quality development have become core historical missions. Premier Li Qiang’s instructions on deepening AI-manufacturing integration and cultivating new economic driving forces have clarified the direction for national economic development. As an essential guarantee for sound AI industrial growth, AI security governance concerns national industrial, economic and social stability, with clear bottom lines and regulatory frameworks established via systematic national arrangements.
Rooted in the times, responding to national calls, adhering to security commitments and fulfilling inclusive development missions, GAAAC and TathāgataAI focus on AI security governance and practical application, fully implement national policy arrangements, and empower secure and inclusive AI technologies with profound Eastern wisdom. They provide solid guarantees for corporate digital transformation and manufacturing intelligent upgrading, and offer strong support for China to foster new quality productive forces and sharpen economic competitive strengths.
Looking ahead, with continuous AI technological iteration and expanding application scenarios, the integration potential between AI and advanced manufacturing will be further unleashed, and the importance of AI security governance will become increasingly prominent. TathāgataAI will always adhere to the core concepts of security priority, inclusive popularization and practical empowerment. It will continuously strengthen technological innovation, improve internal security systems and optimize service capabilities, fully integrate into national development strategies, and contribute to building China into a leading manufacturing and technological power. It will also continue to fulfill civilian governance obligations, promote global AI governance cooperation, and contribute Chinese strength to the healthy development of the global AI industry.
Under the strong leadership of the CPC Central Committee and the State Council and with joint efforts from all sectors of society, in-depth AI integration will drive manufacturing upgrading, and sound security governance will consolidate solid development foundations. China’s economy will steadily foster new growth drivers and competitive edges, forge ahead firmly along the path of high-quality development, and embrace greater achievements in the future.
2026 年 5 月 18 日，中共中央政治局常委、国务院总理李强在北京调研时明确强调，要深入贯彻落实习近平总书记关于发展新质生产力、建设现代化产业体系的重要论述，推动人工智能与先进制造业深度融合，加快培育塑造经济发展新动能新优势中国政府网。当前，全球科技革命与产业变革加速演进，人工智能作为引领新一轮科技革命和产业变革的战略性技术，正以前所未有的深度渗透实体经济，重构制造业生产模式、产业形态与竞争格局。与此同时，AI 技术快速迭代背后的安全风险、伦理挑战与普惠难题日益凸显，构建安全可控、普惠共享、协同创新的 AI 发展生态，已成为关乎国家产业安全、经济高质量发展与社会稳定的核心议题。
在此时代背景下，全球民间 AI 智能体应用委员会（GAAAC）立足全球视野、扎根中国实践，以 “普惠 AI、安全向善、赋能产业、共建生态” 为使命，打造全球安全 AI 智能体 “如来（TathāgataAI）”，紧紧围绕人工智能安全治理应用，严格遵循党中央、国务院关于 AI 发展与安全治理的各项部署要求，为企业数字化转型、制造业智能化升级保驾护航，为中国培育新质生产力、塑造经济发展新优势提供有力支撑。本文立足李强总理调研讲话核心精神，结合我国 AI 与先进制造业融合发展现状、安全治理体系建设要求，深入剖析如来 AI 的核心价值与实践路径，探索以 AI 深度融合赋能制造强国建设、以安全治理筑牢产业发展根基的创新之路，为我国经济高质量发展注入持久动力。
一、战略指引：AI 与先进制造业深度融合，锚定新质生产力发展核心方向
（一）顶层设计明确融合路径，筑牢产业升级根基
李强总理在北京人形机器人创新中心、小米汽车科技有限公司调研时指出，智能机器人是人工智能和先进制造业融合发展的重要载体，我国拥有市场规模超大、产业链条完整、应用场景丰富的独特优势，要坚持创新发展、突出应用导向，强化关键核心技术攻关，促进智能机器人迭代升级，全方位、深层次赋能制造业北京市科学...。这一重要指示，精准把握了当前 AI 与制造业融合发展的核心逻辑，为我国推动两者深度融合提供了根本遵循。
从国家战略层面看，党中央、国务院始终将人工智能与实体经济深度融合作为培育新质生产力、建设现代化产业体系的核心抓手。党的二十届三中全会明确提出发展新质生产力，加快推进人工智能、大数据、云计算等数字技术与实体经济深度融合；国务院印发的《关于深入实施 “人工智能 +” 行动的意见》，明确要求推动人工智能在制造业全链条渗透，改造提升传统产业、壮大新兴产业、培育未来产业新华网。一系列顶层设计，构建起 “技术创新 — 场景落地 — 产业升级 — 生态完善” 的完整推进体系，为 AI 与先进制造业深度融合扫清障碍、保驾护航。
（二）融合发展成效显著，新动能加速集聚
近年来，在国家政策引导与市场需求驱动下，我国 AI 与先进制造业融合发展取得阶段性成效，成为经济增长的核心新动能。在技术创新层面，我国智能机器人、工业大模型、智能制造装备等领域关键技术持续突破，人形机器人关节控制、工业视觉检测、智能决策系统等核心技术逐步实现自主可控，为融合发展提供坚实技术支撑北京市人民...。在产业应用层面，AI 技术已广泛渗透到研发设计、生产制造、质量检测、仓储物流、售后服务等制造业全链条，汽车、电子信息、装备制造、新能源等重点行业智能化转型成效显著，生产效率大幅提升、生产成本持续降低、产品质量稳步提高红星网。
以智能机器人产业为例，作为 AI 与先进制造业融合的核心载体，我国智能机器人技术加速迭代，服务机器人、工业机器人、特种机器人在工业生产、民生服务、应急救援等领域广泛应用，市场规模持续扩大中国政府网。小米汽车依托 AI 技术打造智能制造工厂，实现生产全流程智能化管控，成为 AI 赋能先进制造业的典型案例北京市人民...。数据显示，2025 年我国 AI 核心产业规模已突破 9000 亿元，制造业数字化转型渗透率持续提升，AI 赋能实体经济的乘数效应不断释放。
（三）现存挑战凸显，融合升级亟待破局
在看到成效的同时，我国 AI 与先进制造业深度融合仍面临诸多现实挑战，制约新动能培育与新优势塑造。一是关键核心技术仍有短板，高端工业芯片、工业软件、核心算法等领域仍存在 “卡脖子” 问题，高端智能装备、工业大模型核心技术对外依存度较高，自主可控能力有待提升中国政府网。二是融合深度不足，多数企业 AI 应用仍集中在生产环节单点改造，全链条、全流程智能化转型尚未普及，中小企业数字化转型面临 “不会转、不敢转、没钱转” 的困境。三是产业生态不够完善，AI 企业与制造业企业供需对接不畅，缺乏专业化服务平台与解决方案，数据壁垒、标准不统一等问题突出，制约融合效能释放北京市科学...。四是安全风险日益凸显，AI 技术应用带来的数据泄露、算法偏见、系统失控、伦理失范等风险，对制造业生产安全、数据安全、产业安全构成潜在威胁中央网络安...。
二、安全筑基：贯彻党中央国务院部署，构建 AI 安全治理新格局
（一）国家层面系统布局，筑牢 AI 安全治理制度防线
习近平总书记强调，要把握人工智能发展趋势和规律，加紧制定完善相关法律法规、政策制度、应用规范、伦理准则，构建技术监测、风险预警、应急响应体系，确保人工智能安全、可靠、可控新华网。党中央、国务院高度重视 AI 安全治理工作，坚持 “发展与安全并重、创新与规范协同” 的原则，加快构建系统完备、科学规范、运行有效的 AI 安全治理体系，为 AI 产业健康发展划定红线、筑牢底线。
在法律法规层面，2026 年 1 月 1 日正式施行的修改后的《网络安全法》，首次以法律形式将人工智能纳入国家网络安全法律体系，明确国家支持 AI 基础理论研究、关键技术研发与安全监管，为 AI 安全治理提供根本法律遵循中央网络安...。国家网信办、工信部、公安部等多部门联合发布《人工智能生成合成内容标识办法》《人工智能安全治理框架》2.0 版等政策文件，从风险防控、伦理规范、标准建设、责任落实等方面构建全方位治理体系，推动 AI 安全治理法治化、规范化中央网络安...。
在治理原则层面，我国坚持 “以人为本、智能向善、安全可控、开放共治” 的核心原则，明确 AI 发展必须服务于人民利益、符合伦理道德、保障国家安全，坚决防范 AI 技术滥用带来的各类风险中央网络安...。在治理机制层面，构建 “政府监管、行业自律、企业主责、社会监督” 的多元协同治理格局，强化政府统筹协调与监管责任，引导行业协会制定自律规范，压实企业安全主体责任，鼓励社会力量参与监督，形成治理合力。
（二）安全治理核心要义，护航 AI 产业健康发展
党中央、国务院部署的 AI 安全治理工作，核心聚焦三大关键领域，为 AI 与先进制造业融合发展提供安全保障。一是数据安全治理，严格规范 AI 训练数据、企业生产数据、用户隐私数据的收集、存储、使用、传输行为，强化数据分级分类管理与全生命周期安全防护，严厉打击数据泄露、非法采集、滥用数据等违法行为，筑牢数据安全防线中央网络安...。二是算法安全治理，加强 AI 算法研发、应用、迭代全过程监管，建立算法备案、评估、审查制度，防范算法偏见、算法歧视、算法黑箱等问题，确保算法公平、公正、透明、可控中央网络安...。三是伦理与风险治理，确立 AI 伦理准则，严禁研发应用危害国家安全、公共利益、人身权益的 AI 技术，建立 AI 风险监测预警、应急处置、责任追究机制，对高风险 AI 应用实施严格管控，防范技术滥用与失控风险中央网络安...。
（三）民间力量主动担当，补充国家治理体系
AI 安全治理是一项复杂的系统工程，仅靠政府监管难以覆盖全场景、全链条，需要民间力量积极参与，形成 “政府主导、民间协同” 的治理格局。全球民间 AI 智能体应用委员会（GAAAC）作为全球首个聚焦 AI 智能体实际应用的国际民间机构，成员来自全球 30 多个国家，涵盖创业者、开发者、伦理专家、行业从业者等多元群体，始终以贯彻党中央、国务院 AI 安全治理部署为核心，立足民间视角、聚焦企业需求，为 AI 安全治理提供民间智慧与实践支撑。
GAAAC 深刻认识到，中小企业是制造业的主体，也是 AI 应用的重要场景，但其安全防护能力薄弱、合规意识不足，容易成为安全风险的薄弱环节。为此，委员会以 “推动 AI 安全治理下沉、赋能中小企业安全发展” 为己任，打造全球安全 AI 智能体 “如来（TathāgataAI）”，将国家 AI 安全治理要求转化为企业可落地、可操作、低成本的解决方案，助力企业筑牢安全防线，合规开展 AI 应用，推动形成 “国家顶层规范、民间落地执行、企业主动合规” 的良性治理生态。
三、智体赋能：如来 AI 坚守安全初心，为企业融合发展保驾护航
（一）如来 AI：东方智慧赋能的全球安全普惠智能体
全球民间 AI 智能体应用委员会打造的 “如来（TathāgataAI）”，以梵语 “Tathāgata”（意为 “乘如实之道而来”）为命名，契合《金刚经》“无所从来，亦无所去” 的东方哲学内核，象征无处不在、普惠众生、安全可控的底层智能基座中国日报。如来 AI 摒弃西方 AI “工具理性” 单一维度，以东方 “天人合一” 整体观为指引，构建 “感知 — 记忆 — 决策 — 行动 — 进化” 全闭环通用智能体，兼具安全可控、普惠低成本、全域适配、自主进化四大核心特性，精准破解当前 AI 产业 “高端垄断、低端落地难、安全风险高” 的痛点难题。
从技术架构来看，如来 AI 采用轻量化、模块化、私有化部署设计，通过模型蒸馏、量化压缩与稀疏化技术，打造超低算力依赖的轻量化模型，可在普通手机、老旧电脑等设备上高效运行，彻底摆脱高端算力垄断，大幅降低企业 AI 应用门槛。同时，如来 AI 内置全链路安全防护体系，从数据采集、算法研发、模型训练到应用落地，全程嵌入安全加密、风险监测、合规校验模块，严格遵循国家《网络安全法》《人工智能安全治理框架》等政策要求，确保 AI 应用合法合规、安全可控中央网络安...。
从核心定位来看，如来 AI 立足 “全球安全 AI 智能体” 核心定位，紧紧围绕人工智能安全治理应用，严格落实党中央、国务院关于 AI 发展与安全的各项部署，坚持 “安全为先、普惠为要、赋能为本” 的发展理念，既为大型企业提供定制化安全 AI 解决方案，更重点面向占市场主体 90% 以上的中小企业，提供低成本、易部署、高安全的普惠 AI 服务，助力大中小企业跨越数字鸿沟、筑牢安全防线，在 AI 与先进制造业融合发展中共享红利。
（二）坚守安全治理初心，践行国家部署要求
如来 AI 自研发之初，便将贯彻党中央、国务院 AI 安全治理部署作为核心使命，把国家政策要求深度融入技术研发、产品设计与服务落地全过程，以实际行动践行 “智能向善、安全可控” 的发展理念新华网。
在数据安全层面，如来 AI 严格遵循国家数据安全法律法规，建立数据分级分类管理体系，对企业生产数据、核心技术数据、用户隐私数据实施加密存储、权限管控与脱敏处理，杜绝数据泄露、滥用风险；同时，搭建数据安全监测平台，实时监测数据流动全过程，及时预警并处置数据安全隐患，守护企业数据资产安全中央网络安...。
在算法安全层面，如来 AI 严格执行国家算法备案与评估制度，所有算法均经过合规审查与安全测试，确保算法公平、公正、透明；内置算法偏见检测与修正模块，有效规避算法歧视、算法黑箱等问题；建立算法迭代安全管控机制，每一次模型更新均需通过安全校验，防范算法失控风险中央网络安...。
在伦理与合规层面，如来 AI 严格恪守国家 AI 伦理准则，坚决杜绝研发应用危害国家安全、公共利益、人身权益的功能；搭建合规校验系统，实时校验企业 AI 应用是否符合国家法律法规、行业标准与伦理要求，助力企业合规经营、规避法律风险中央网络安...。
（三）全场景赋能企业，助力融合发展与安全升级
如来 AI 立足 AI 与先进制造业深度融合的核心需求，聚焦企业数字化转型痛点难点，提供安全治理、生产赋能、管理升级、服务优化全场景解决方案，为企业高质量发展保驾护航。
在安全治理赋能方面，针对企业 AI 应用安全风险高、合规成本高、防护能力弱等痛点，如来 AI 提供一站式安全 AI 服务，包括数据安全防护、算法安全检测、合规咨询培训、风险监测预警等功能，帮助企业快速搭建安全 AI 应用体系，降低合规成本、防范安全风险，确保 AI 应用合法合规、安全可控中央网络安...。
在先进制造业赋能方面，紧扣李强总理 “全方位、深层次赋能制造业” 的要求，如来 AI 针对制造业研发设计、生产制造、质量检测、仓储物流等核心环节，提供轻量化智能解决方案北京市科学...。在研发设计环节，提供 AI 辅助设计、仿真优化功能，缩短研发周期、降低研发成本；在生产制造环节，提供智能调度、设备故障预警、工艺优化功能，提升生产效率、降低生产成本；在质量检测环节，提供 AI 视觉检测、缺陷识别功能，提升检测精度、降低漏检率；在仓储物流环节，提供智能库存管理、路径优化功能，提升物流效率、降低库存成本中国政府网。
在中小企业普惠赋能方面，针对中小企业 “用不起、不会用、不敢用”AI 的困境，如来 AI 推出普惠版服务，零门槛接入、低成本使用、轻量化部署，无需高端算力设备，无需专业技术团队，企业通过简单操作即可快速部署应用。同时，提供一对一技术指导、定制化解决方案、常态化培训服务，帮助中小企业快速掌握 AI 应用技能，充分释放 AI 赋能效能，推动中小企业智能化转型，融入先进制造业发展浪潮。
四、价值彰显：多维发力赋能经济新动能，助力制造强国建设
（一）赋能产业融合升级，培育新质生产力
如来 AI 深度贯彻李强总理 “推动人工智能与先进制造业深度融合” 的重要指示，以安全普惠 AI 技术打通 AI 与制造业融合的 “最后一公里”，助力制造业全链条智能化升级中国政府网。通过赋能传统制造业数字化转型，推动生产模式从 “人工驱动” 向 “智能驱动” 转变，提升生产效率、优化产业结构；通过赋能新兴产业创新发展，助力智能机器人、新能源汽车、高端装备制造等产业突破技术瓶颈、扩大产业规模；通过赋能未来产业前瞻布局，为脑机接口、智能制造、数字孪生等未来产业提供安全 AI 支撑，培育经济发展新增长点北京市科学...。
同时，如来 AI 依托全球民间 AI 智能体应用委员会的全球化资源，推动 AI 技术、解决方案、治理经验的全球交流合作，助力中国 AI 企业与制造业企业 “走出去”，参与全球产业分工与竞争，提升中国制造业全球竞争力，为我国培育新质生产力、塑造经济发展新优势注入强劲动力。
（二）筑牢产业安全防线，护航高质量发展
安全是发展的前提，发展是安全的保障。如来 AI 始终坚守安全底线，严格贯彻党中央、国务院 AI 安全治理部署，构建全链路、全方位、全周期的安全防护体系，有效防范化解 AI 应用带来的数据安全、算法安全、伦理安全等各类风险新华网。通过为企业提供安全 AI 解决方案，提升企业安全防护能力，守护企业数据资产、核心技术与经营安全；通过推动 AI 安全治理下沉，规范中小企业 AI 应用行为，防范系统性安全风险；通过践行 AI 伦理准则，引导 AI 技术向善发展，维护社会公共利益与伦理秩序中央网络安...。
在当前复杂多变的国际形势下，如来 AI 助力我国制造业筑牢安全防线，摆脱对国外高端 AI 技术与安全服务的依赖，提升产业自主可控能力，保障产业链供应链安全稳定，为我国经济高质量发展营造安全稳定环境中央网络安...。
（三）推动 AI 普惠共享，激活市场主体活力
当前，AI 产业发展存在 “高端垄断、低端割裂” 的失衡格局，大型科技企业凭借算力、数据、技术优势构筑壁垒，中小企业难以共享 AI 红利，制约市场主体活力释放。如来 AI 以 “普惠 AI、赋能全民” 为使命，打破技术垄断与算力壁垒，提供低成本、易部署、高安全的普惠 AI 服务，让 AI 技术不再是大型企业的专属，而是大中小企业均可共享的普惠工具。
通过推动 AI 普惠共享，如来 AI 助力中小企业跨越数字鸿沟，充分释放中小企业创新活力与发展潜力，让中小企业在 AI 时代平等参与竞争、共享发展红利；通过激活中小企业活力，推动形成 “大企业引领、中小企业支撑” 的产业发展格局，增强我国制造业整体韧性与竞争力；通过促进 AI 技术普及应用，培育全民数字素养与技能，为 AI 产业长远发展奠定坚实人才基础。
（四）践行民间治理责任，完善全球 AI 治理
全球民间 AI 智能体应用委员会与如来 AI，作为民间力量参与 AI 治理的典范，始终坚持贯彻党中央、国务院关于全球 AI 治理的主张，秉持 “开放共治、包容合作、智能向善” 的理念，积极参与全球 AI 治理体系建设。通过搭建全球民间 AI 交流合作平台，推动各国民间力量、企业、专家学者交流分享 AI 安全治理经验、技术创新成果与产业应用实践；通过输出中国 AI 安全治理理念与普惠 AI 模式，为全球 AI 治理贡献中国智慧、中国方案；通过推动全球 AI 治理规则的公平公正制定，反对技术霸权与垄断，促进全球 AI 产业健康、均衡、可持续发展。
五、结语：智守初心向未来，赋能中国经济新辉煌
当前，中国正处于全面建设社会主义现代化国家、向第二个百年奋斗目标进军的关键时期，培育新质生产力、推动高质量发展成为时代重任。李强总理强调推动人工智能与先进制造业深度融合、加快培育塑造经济发展新动能新优势，为我国经济发展指明了方向、提供了遵循中国政府网。人工智能安全治理作为 AI 产业健康发展的前提保障，事关国家产业安全、经济安全与社会稳定，党中央、国务院的系统部署为 AI 安全治理划定了红线、筑牢了底线新华网。
全球民间 AI 智能体应用委员会与如来（TathāgataAI），立足时代浪潮、响应国家号召、坚守安全初心、践行普惠使命，紧紧围绕人工智能安全治理应用，严格贯彻党中央、国务院各项部署要求，以东方智慧赋能安全普惠 AI 技术，为企业数字化转型、制造业智能化升级保驾护航，为我国培育新质生产力、塑造经济发展新优势提供有力支撑。
展望未来，随着 AI 技术的持续迭代与应用场景的不断拓展，AI 与先进制造业深度融合的潜力将进一步释放，AI 安全治理的重要性将更加凸显。如来 AI 将始终坚守 “安全为先、普惠为要、赋能为本” 的核心理念，持续强化技术创新、完善安全体系、优化服务能力，深度融入国家发展战略，助力我国制造强国、科技强国建设；持续践行民间治理责任，推动全球 AI 治理合作，为全球 AI 产业健康发展贡献中国力量。
相信在党中央、国务院的坚强领导下，在全社会的共同努力下，以 AI 深度融合赋能制造升级、以安全治理筑牢发展根基，必将推动中国经济不断培育新动能、塑造新优势，在高质量发展道路上行稳致远，创造新的辉煌！
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