Prospects for the Integrated Development of Artificial Intelligence and Consumption during the 14th Five-Year Plan Period

While strengthening the momentum of traditional consumption, relying on technological change and institutional innovation to stimulate new types of consumption is becoming the key to accelerating the release of domestic demand potential. General Secretary Xi Jinping put forward a series of important requirements such as "vigorously boosting consumption" when presiding over a symposium of non-Party figures on July 23. [1]1 A "symposium of non-Party figures" refers to meetings convened by the Chinese Communist Party to consult with representatives of other political parties, prominent individuals without party affiliation, and other sectors of society. On August 21, the State Council issued the "Opinions on Deeply Implementing the 'Artificial Intelligence+' Action", which systematically deployed the improvement of "AI+ consumption" quality. [2]2 The "Artificial Intelligence+" action is a Chinese policy initiative to integrate AI with various economic and social sectors. Looking ahead to the 15th Five-Year Plan period, "AI+ consumption" will reshape consumer behavior and value identification by reconstructing supply-demand relationships and optimizing resource allocation, becoming a key force leading the deep transformation of consumption patterns and driving the consumption system to accelerate toward a new stage of digitalization, intelligence, and personalization. [3]3 The "15th Five-Year Plan" (十五五, shíwǔwǔ) refers to China's 15th five-year plan for national economic and social development, covering the years 2026–2030.

在增强传统消费动能的同时，依靠技术变革与制度创新激发新型消费，正成为当前加快释放内需潜力的关键。习近平总书记在7月23日主持党外人士座谈会时提出“有力提振消费”等一系列重要要求。8月21日国务院出台的《关于深入实施“人工智能+”行动的意见》对“人工智能+”消费提质作出系统部署。展望“十五五”，“人工智能+消费”将通过重构供需关系、优化资源配置，重塑消费者的行为方式与价值认同，成为引领消费方式深层转型的关键力量，推动消费体系加快迈向数字化、智能化和个性化的新阶段。

1. Stage-specific characteristics of "AI+ consumption"

1.“人工智能+消费”的阶段性特征

As of December 2024, the number of users of generative AI products in China had reached 249 million, with application scenarios continuing to expand, becoming an important support for leveraging a new round of consumption upgrading. Correspondingly, from the General Office of the Central Committee of the Communist Party of China and the General Office of the State Council issuing the "Action Plan for Boosting Consumption" in March 2025 to the release of the "Digital China Construction 2025 Action Plan" in May, the national level has continuously released policy signals to promote "AI+ consumption." [4]4 The "General Office of the Central Committee" (中办, zhōngbàn) and the "General Office of the State Council" (国办, guóbàn) are the administrative organs of the Chinese Communist Party Central Committee and the central government, respectively. Facing the 15th Five-Year Plan period, relying on China's super-large market advantage and rich consumption scenario foundation, "AI+ consumption" is expected to move from a technology-driven stage to an ecological integration stage, becoming a strategic lever for releasing domestic demand potential and leading consumption transformation.

截至2024年12月，我国生成式人工智能产品用户规模已达2.49亿，应用场景持续拓展，已成为撬动新一轮消费升级的重要支撑。与之相应，从2025年3月中办国办印发《提振消费专项行动方案》到5月《数字中国建设2025年行动方案》发布，国家层面持续释放促进“人工智能+消费”的政策信号。面向“十五五”，依托我国超大规模市场优势和丰富消费场景基础，“人工智能+消费”有望从技术驱动阶段迈向生态融合阶段，成为释放内需潜能、引领消费变革的战略性抓手。

From the perspective of technological evolution, large models drive "AI+ consumption" toward ecologization and systematization. In the next few years, the compound annual growth rate of the AI large model market will reach 40%, and AI development will move to a new stage of generalization, platformization, and ecologization. In terms of underlying technology, computing hardware continues to evolve toward high efficiency and low energy consumption, while data resource quality and processing capacity improve simultaneously. In terms of integrated applications, AI is deeply integrated with transportation, medical services, finance, education, government affairs, and other fields, promoting the intelligent system reconstruction of various industries in society. This trend not only expands the boundaries of technology application but also provides a solid foundation for the multi-dimensional coordination and functional integration of consumption scenarios. In the consumption field, "AI+ consumption" shifts from empowering local scenarios to penetrating the entire chain systematically; consumers evolve from data providers to intelligent participants, and consumption patterns become more personalized, contextual, and immersive. Platform enterprises move from single technology deployment to ecosystem construction, reshaping the "person-goods-scenario" relationship and business organization forms through the coordinated support of "data + algorithms + computing power + scenarios." This evolution is expected to significantly improve consumption efficiency, expand scenario boundaries, and inject new momentum into releasing domestic demand potential and restructuring the supply system.

从技术演进看，大模型驱动“人工智能+消费”迈向生态化、系统化。未来几年，AI大模型市场规模复合增长率将达40%，人工智能发展迈向通用化、平台化、生态化新阶段。在底层技术上，计算硬件持续向高效能、低能耗方向演进，数据资源质量与处理能力同步提升。在融合应用方面，人工智能与交通运输、医疗服务、金融、教育、政务等领域深度融合，推动社会各行业的智能化系统重构。这一趋势不仅拓展了技术应用的边界，也为消费场景的多元协同和功能整合提供了坚实基础。在消费领域，“人工智能+消费”从局部场景赋能转向全链条系统渗透，消费者从数据提供者演变为智能参与者，消费模式更具个性化、情境化与沉浸式特征。而平台企业从单一技术部署迈向生态系统建设，通过“数据+算法+算力+场景”协同支撑，重塑“人货场”关系与商业组织形态。这一演化有望大幅提升消费效率、拓展场景边界，为释放内需潜力、重构供给体系注入新动能。

From the perspective of supply-demand structure, AI consumption becomes an important lever for cultivating a new domestic demand system. During the 15th Five-Year Plan period, the traditional demographic dividend will further weaken, and consumption expansion will enter a stage that places more emphasis on quality, efficiency, and matching. Against this background, AI activates new domestic demand and cultivates new momentum by reshaping consumption scenarios and supply-demand logic. On the one hand, consumer demand increasingly shows trends of stratification and personalization. From middle-income groups to the silver-haired population, from first-tier cities to lower-tier markets, various groups differ significantly in consumption preferences, service expectations, and willingness to pay, pushing consumption from mass products toward customized supply. Relying on big data and algorithm-driven capabilities, AI achieves transformations such as scenario embedding, emotional interaction, and value co-creation, significantly improving the quality and efficiency of supply-demand matching. On the other hand, consumers' consumption concepts are also quietly changing, shifting toward value-based consumption that emphasizes experience, emotion, and participation. Consumers' comprehensive expectations of "function + emotion + service" force enterprises to reconstruct production logic. This conceptual change prompts enterprises to focus on interactivity, emotionality, and companionship in product design and service processes, promoting the rapid rise of new service formats such as virtual assistants and intelligent companions. Overall, AI is making supply and demand relationships move toward dynamic adaptation, providing a realistic path for building a more efficient, flexible, and sustainable domestic demand system.

从供需结构看，人工智能消费成为培育新型内需体系的重要抓手。“十五五”时期，传统的人口红利将进一步减弱，消费扩张进入更注重质量、效率与匹配性的阶段。在这一背景下，人工智能通过重塑消费场景与供需逻辑，激活新内需、培育新动能。一方面，消费需求日益呈现分层化、个性化趋势。从中等收入群体到银发群体、从一线城市到下沉市场，各类人群在消费偏好、服务预期与支付意愿上差异显著，推动消费从大众产品走向定制供给。而人工智能依托大数据与算法驱动能力，实现场景嵌入、情感互动和价值共创的转变，显著提升了供需适配质量和效率。另一方面，消费者的消费理念也在悄然变化，转向更重体验、重情感、重参与的价值型消费。消费者对“功能+情感+服务”的综合期待倒逼企业重构生产逻辑，这种理念的变迁促使企业在产品设计和服务流程上注重互动性、情感性与陪伴感，推动虚拟助理、智能陪护等新型服务业态快速兴起。总体来看，人工智能正使供需关系走向动态适配，为构建更加高效、柔性、可持续的内需体系提供了现实路径。

From the perspective of inclusive development, "AI+ consumption" faces the dual challenges of an "intelligence divide" and demand mismatch. The deep integration of AI and consumption continuously releases new momentum, but risks of insufficient inclusiveness and structural differentiation may exacerbate the "intelligence divide" and demand mismatch. On the one hand, the application of technology is widening the gap in usage thresholds and benefit levels between groups. Highly educated and highly skilled groups, due to their higher digital literacy and stronger purchasing power, can often enjoy personalized recommendations, precise services, and consumption subsidies more fully. [5]5 "Digital literacy" (数字素养, shùzì sùyǎng) refers to the ability to effectively use digital technologies and information. Meanwhile, many low- and middle-income or elderly groups are marginalized in the intelligent consumption system, thus forming a new type of "digital consumption exclusion." [6]6 "Digital consumption exclusion" (数字消费排斥, shùzì xiāofèi páichì) describes a situation where certain groups are unable to participate in or benefit from digital consumption due to lack of access, skills, or resources. On the other hand, the algorithm-dominated supply-demand matching mechanism also exacerbates the mismatch of consumption behavior. Some platforms, when making algorithmic recommendations, may induce irrational consumption and intensify addictive use, gradually weakening consumers' space for independent choice. When so-called personalization is increasingly replaced by labeling and repetitive driving, consumption experiences easily fall into convergence, even obscuring diversity and creativity. Once this "circle-layer consumption" and "algorithmic aesthetics" become solidified, they may affect the overall vitality and fairness of the consumer market. [7]7 "Circle-layer consumption" (圈层消费, quāncéng xiāofèi) refers to consumption patterns shaped by algorithms that segregate consumers into narrow, homogeneous circles, while "algorithmic aesthetics" (算法审美, suànfǎ shěnměi) denotes the homogenization of taste driven by algorithm-driven content curation. Therefore, while promoting the expansion of intelligent consumption, it is necessary to strengthen the design of inclusive mechanisms to prevent the technological dividend from becoming a barrier to differentiation.

从包容性发展看，“人工智能+消费”面临“智能鸿沟”与需求错配的双重挑战。人工智能与消费的深度融合不断释放新动能，但普惠性不足、结构分化的风险可能加剧“智能鸿沟”与需求错配。一方面，技术的应用正在拉大人群之间在使用门槛与受益水平上的差距。高学历、高技能群体因具备更高的数字素养和更强的支付能力，往往能更充分地享受个性化推荐、精准服务和消费补贴。而不少中低收入或年长群体则在智能消费体系中处于边缘状态，进而形成新型的“数字消费排斥”。另一方面，算法主导下的供需匹配机制也加剧了消费行为的错配。部分平台在进行算法推荐时，可能诱导非理性消费、加剧沉迷性使用，逐步弱化消费者自主选择的空间。当所谓的个性化日益被标签化与重复性驱动替代时，消费体验容易陷入趋同，甚至遮蔽多样性与创造性。一旦这种“圈层消费”与“算法审美”固化，就有可能影响消费市场的整体活力与公平性。因此，要在推动智能消费扩展的同时，加强普惠机制设计，防止科技红利变成分化壁垒。

From the perspective of the institutional environment, promoting the development of "AI+ consumption" urgently requires the formation of a systematic and forward-looking governance framework. As AI and consumption become deeply integrated, the development of intelligent consumption is no longer merely a matter of technological drive or market evolution; it also faces the challenge of reshaping the institutional system and reconstructing governance logic. At present, key issues such as unclear data ownership, insufficient algorithm transparency, and blurred platform responsibility boundaries still lack unified and operable institutional norms. Tensions between data security, algorithmic fairness, user rights protection, and market efficiency are gradually emerging. Existing policies focus on demonstration pilots and industrial cultivation, but in governance links such as platform responsibility identification, cross-domain regulatory coordination, and consumer rights protection, there are still problems such as responsibility vacuums, rule gaps, and fragmented enforcement. At the same time, the trend of digital platforms operating across industries and technology evolving faster than regulatory updates is becoming increasingly obvious. The traditional regulatory system divided by industry is difficult to adapt to the new consumption ecology under the background of comprehensive intelligence. It is urgent to build a layered, classified, and dynamically adjustable AI consumption standard system. Looking ahead to the 15th Five-Year Plan period, policy orientation should focus on both development and governance, accelerate the formation of an intelligent consumption governance system with reasonable structure, clear rules, and efficient response, and safeguard the high-quality development of "AI+ consumption."

从制度环境看，推动“人工智能+消费”发展亟待形成系统化、前瞻性的治理框架。随着人工智能与消费深度融合，智能消费的发展已不再仅是技术驱动或市场演化问题，更面临制度体系重塑与治理逻辑重构的挑战。目前，数据权属不清、算法透明度不足、平台责任边界模糊等关键问题仍缺乏统一、可操作的制度规范，数据安全、算法公平、用户权益保护与市场效率之间的张力逐渐显现。现有政策侧重于示范试点与产业培育，但在平台责任认定、跨域监管协同、消费者权益保障等治理环节仍存在责任真空、规则缺位、执法碎片化等现实问题。同时，数字平台跨界经营、技术演进快于监管更新的趋势日益明显，传统按行业划分的监管体制难以适应全面智能化背景下的新型消费生态，亟须构建分层分类、动态可调的人工智能消费标准体系。面向“十五五”，政策导向应注重发展与治理并重，加快形成结构合理、规则清晰、响应高效的智能消费治理体系，护航“人工智能+消费”高质量发展。

2. Promoting the deep integration and development of "AI+ consumption"

2.推动“人工智能+消费”深度融合发展

Focus on building an intelligent supply system to promote high-quality iteration of products and services. The primary focus for promoting the deep integration of "AI+ consumption" is to build a future-oriented intelligent supply system. During the 15th Five-Year Plan period, with continuous breakthroughs in key AI technologies, the supply side is ushering in a fundamental shift from product-driven to intelligent service-driven. By accelerating integrated innovation in key areas such as intelligent manufacturing, digital content, smart homes, and cultural tourism and entertainment, AI is becoming an important engine for improving supply quality, enriching consumption scenarios, and guiding new demand. Enterprises need to deeply explore the value-added potential of "AI+" technology in product design, functional expansion, and emotional interaction, creating more high-value-added products that combine intelligence, personalization, and experiential feel. Especially in terminal areas such as home appliances, wearable devices, and automobiles, products should be pushed beyond their tool attributes to upgrade to emotional carriers. Enhance human-machine interaction experiences to meet consumers' higher-level emotional identification and life imagination. With intelligent services as the core, reshape traditional supply logic and accelerate the evolution of retail, health, education, and other fields toward companion-type, customized, and immersive consumption. Centered on the user's full lifecycle and diversified needs, build a service mechanism of intelligent recommendation, proactive response, and continuous interaction, creating a user-centered dynamic supply model. Promote platform enterprises to transform into intelligent ecological operators, building an integrated ecology covering product design, service output, and user operations. By opening up the upstream and downstream supply chain, linking small and medium-sized enterprises, industry chain partners, and content creators, form an intelligent supply system with multi-party participation, data sharing, and value co-creation, improving overall supply efficiency and collaborative innovation capacity.

发力智能供给体系建设，推动产品和服务高质量迭代。推动“人工智能+消费”深度融合，首要着力点在于构建面向未来的智能化供给体系。在“十五五”期间，伴随人工智能关键技术不断突破，供给侧正迎来从产品驱动向智能服务驱动的根本性转变。通过加快智能制造、数字内容、智能家居、文旅文娱等重点领域的融合创新，人工智能正成为提升供给质量、丰富消费场景、引导新型需求的重要动能。企业需深度挖掘“人工智能+”技术在产品设计、功能拓展与情感交互等环节的增值潜力，打造更多兼具智能化、个性化与体验感的高附加值产品。尤其在家电、穿戴设备、汽车等终端领域，推动产品超越工具属性，向情感载体升级。增强人机互动体验，满足消费者更高层次的情感认同与生活想象。以智能服务为核心，重塑传统供给逻辑，推动零售、健康、教育等领域向陪伴型、定制型、沉浸型消费加速演进。围绕用户全生命周期和多元化需求，构建智能推荐、主动响应、持续交互的服务机制，打造以用户为中心的动态供给新模式。推动平台企业向智能生态运营商转型，构建覆盖产品设计、服务输出与用户运营的融合生态。通过打通上下游供需链条，联动中小企业、产业链伙伴与内容创作者，形成多元参与、数据互通、价值共创的智能供给体系，提升整体供给效率与协同创新能力。

Expand the application ecology of key scenarios to stimulate diversified intelligent consumption demand. To deepen the integration of "AI+ consumption," it is necessary to promote deep linkage between technology and consumption around key scenarios, expand the application ecology of immersive, interactive, and multi-terminal forms, generate new business formats, shape new experiences, and release new demand. During the 15th Five-Year Plan period, with the increase in the penetration rate of smart terminals and the widespread opening of generative AI applications, consumption scenarios will evolve from single channels to cross-scenario, cross-platform, and cross-space integration. First, focus on key areas of people's livelihoods such as life services, cultural tourism, and health and elderly care, accelerating the implementation of AI application scenarios. Taking health and elderly care as an example, AI assistants, intelligent detection, and personalized health plans build a user-centered companion service system, making service supply warmer and more efficient. Second, pay attention to the innovation of online-offline integrated scenarios, promote cross-border linkage of fields such as e-commerce live streaming, unmanned retail, and smart homes, creating a more participatory intelligent consumption environment. The combination of cutting-edge technologies such as digital humans, virtual spaces, and augmented reality will also continuously expand perceptual boundaries and imagination space, shaping more diversified and sustainable consumption experiences. Third, strengthen the systematic support of public policies for scenario building, through establishing pilot projects and improving incentive mechanisms, open up the landing channels of AI in consumption scenarios. Focus on scenarios with high frequency, strong interactivity, and replicable models, cultivate a batch of leading, demonstrative, and diffusive "AI+ consumption" integrated applications, laying the foundation for AI to be more deeply integrated into daily life and for building a high-quality intelligent consumption ecology.

拓展重点场景应用生态，激发多元智能消费需求。深化“人工智能+消费”融合，需围绕重点场景推动技术与消费深层联动，拓展沉浸式、互动型、多终端的应用生态，催生新业态、塑造新体验、释放新需求。“十五五”时期，随着智能终端普及率提升和生成式人工智能应用的普遍开放，消费场景将从单一渠道向跨场景、跨平台、跨空间融合演进。一是聚焦生活服务、文化旅游、健康养老等民生重点领域，加快人工智能应用场景落地。以康养为例，AI助手、智能检测与个性化健康方案构建起以用户为中心的陪护型服务系统，让服务供给更具温度与效率。二是注重线上线下融合场景创新，推动电商直播、无人零售、智能家居等领域跨界联动，营造更具参与感的智能消费环境。数字人、虚拟空间、增强现实等前沿技术的结合，也将不断拓宽感知边界和想象空间，塑造更加多元和可持续的消费体验。三是强化公共政策对场景建设的系统支持，通过设立试点和完善激励机制，打通人工智能在消费场景中的落地通道。重点围绕高频刚需、交互性强、模式可复制的场景，培育一批具有引领性、示范性和扩散力的“人工智能+消费”融合应用，为人工智能更深层次融入日常生活、构建高质量智能消费生态奠定基础。

Strengthen the construction of underlying capability support systems to consolidate the long-term foundation for integrated development. To achieve the deep integration of "AI+ consumption," it is necessary to build a solid and reliable underlying capability system to ensure the stability and security of the intelligent consumption ecology. During the 15th Five-Year Plan period, intelligent consumption's dependence on underlying resources such as computing power, data, and algorithms will increase, and higher requirements will be placed on institutional rules and public support capabilities. Promote the popularization of computing power by optimizing infrastructure layout and lowering service thresholds, improving the accessibility of intelligent technology for small and medium-sized enterprises and non-central regions. Support local governments in building regional computing centers, promoting the formation of a "cloud-edge-device" collaborative service system. [8]8 "Cloud-edge-device" (云边端, yún biān duān) refers to a computing architecture integrating cloud computing, edge computing, and terminal devices. Accelerate the publicization of high-quality data, focusing on key areas closely related to consumption such as transportation, logistics, payment, markets, and user behavior, improve public data collection, desensitization, and opening mechanisms, and promote data collaborative sharing among multiple entities. Guide platform enterprises to explore the "data public welfare pool" mechanism, releasing the potential of data elements while ensuring privacy, and enhancing the adaptability and inclusiveness of algorithm models. [9]9 "Data public welfare pool" (数据公益池, shùjù gōngyì chí) is a concept where platform enterprises pool anonymized data for public benefit, subject to privacy safeguards. Improve basic algorithm capabilities, encourage the development of more adaptable general models and industry models, support the construction of open-source ecosystems, promote model capability improvement, and serve more widely small and medium-sized platforms and diverse consumption scenarios. By strengthening the resource base and removing technical bottlenecks, provide stable and universal basic support for "AI+ consumption," ensuring that the integration process of "AI+ consumption" proceeds steadily and far.

强化底层能力支撑体系建设，夯实融合发展的长期基础。要实现“人工智能+消费”的深度融合，必须构建坚实可靠的底层能力体系，确保智能消费生态运行的稳定性与安全性。“十五五”时期，智能消费对算力、数据、算法等底层资源的依赖日益增强，对制度规则与公共支撑能力也提出更高要求。推动算力普惠化，通过优化基础设施布局、降低服务门槛，提升中小企业和非中心区域对智能技术的可及性。支持地方建设区域性算力中心，推动形成“云边端”协同的服务体系。加快推进高质量数据公共化，聚焦与消费紧密相关的交通、物流、支付、市场、用户行为等关键领域，完善公共数据采集、脱敏处理与开放机制，推动多元主体间的数据协同共享。引导平台企业探索“数据公益池”机制，在保障隐私的前提下，释放数据要素潜能，增强算法模型的适配性与包容性。提升算法基础能力，鼓励开发更具适应性的通用模型与行业模型，支持开源生态建设，推动模型能力提升，更广泛地服务于中小平台与多元消费场景。通过强化资源底座、打通技术堵点，为“人工智能+消费”提供稳固、普惠的基础支撑，确保“人工智能+消费”融合进程行稳致远。

Build a flexible and inclusive institutional guarantee system to consolidate the governance foundation for integrated development. The integrated development of "AI+ consumption" is not only the result of technological progress and market evolution but also inseparable from the strong support of the institutional environment and policy system. At present, in key links such as data confirmation, algorithm supervision, and consumer rights protection, there are still problems such as inconsistent standards, lack of rules, and blurred responsibility boundaries, which have gradually shown constraints on the healthy development of intelligent consumption. The institutional system must be extended forward and deepened. First, strengthen pre-event regulation and risk warning, focusing on key risks such as algorithm discrimination, information misleading, and false interaction, establish a comprehensive governance mechanism covering data security, algorithm compliance, and platform responsibility, intervene in advance and intervene in time to prevent problems from accumulating and expanding. Second, improve the collaborative and efficient policy implementation system, break down departmental barriers and information silos, promote multi-field and regulatory department linkage coordination among industry, data, culture, finance, and other areas, and explore the establishment of governance pilots covering different consumption scenarios. Encourage local governments to introduce "AI+ consumption" support policies tailored to local conditions, providing precise support in areas such as computing platform construction, data resource opening, and cultivation of new consumption formats, gradually forming an institutional ecology that balances development and regulation, vitality and order. Third, build a layered and classified governance toolbox to enhance the flexibility and precision of institutional responses. For different industries, platform sizes, and technology types, explore adapted regulatory rules and responsibility mechanisms. For large platforms, strengthen external accountability and transparency obligations; for small and medium-sized enterprises, provide technical guidance and inclusive supervision, gradually establishing a set of graded supervision, classified policy, and dynamically optimized intelligent consumption governance system.

构建灵活包容的制度保障体系，筑牢融合发展的治理基座。“人工智能+消费”的融合发展不仅是技术进步和市场演化的结果，更离不开制度环境和政策体系的有力支撑。当前，在数据确权、算法监管、消费者权益保护等关键环节，尚存在标准不一、规则缺位和责任界限模糊等问题，已逐步显现出对智能消费健康发展的掣肘，要推动制度体系向前延伸、向深推进。一是强化事前规范与风险预警，聚焦算法歧视、信息误导、虚假交互等重点隐患，建立覆盖数据安全、算法合规和平台责任的综合治理机制，提前介入、及时干预，防止问题累积扩大。二是健全协同高效的政策执行体系，打破部门壁垒与信息孤岛，推动工业、数据、文化、金融等多领域和监管部门联动协同，探索设立覆盖不同消费场景的治理试点。鼓励地方因地制宜推出“人工智能+消费”支持政策，在算力平台建设、数据资源开放、消费新业态培育等方面提供精准扶持，逐步形成兼顾发展与规范、活力与秩序的制度生态。三是构建分层分类的治理工具箱，增强制度响应的弹性与精准性。针对不同行业、平台体量与技术类型，探索适配的监管规则与责任机制。对大型平台应强化外部问责与透明义务，对中小企业则应给予技术引导和包容监管，逐步建立一套分级监管、分类施策、动态优化的智能消费治理体系。

(The authors: Xia Jiechang, Wang Wenji, respectively a researcher at the National Academy of Economic Strategy, Chinese Academy of Social Sciences, and a distinguished researcher at the Jiangsu Research Center for Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era and associate professor at the School of Management, Nanjing University of Posts and Telecommunications)

（作者：夏杰长、王文姬，分别系中国社会科学院财经战略研究院研究员，江苏省习近平新时代中国特色社会主义思想研究中心特约研究员、南京邮电大学管理学院副教授）

Online editor: Tongxin

网络编辑：同心