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1、Blueprint to Action:Chinas Path to AI-Powered Industry TransformationW H I T E P A P E RJ A N U A R Y 2 0 2 5In collaboration withAccentureTransformation of Industries in the Age of AIAI Governance AllianceDisclaimer This document is published by the World Economic Forum as a contribution to a proje

2、ct,insight area or interaction.The findings,interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Membe

3、rs,Partners or other stakeholders.2025 World Economic Forum.All rights reserved.No part of this publication may be reproduced or transmitted in any form or by any means,including photocopying and recording,or by any information storage and retrieval system.Images:Getty ImagesContentsReading guide 3F

4、oreword 4Executive summary 5Introduction 61 Chinas national strategy and governance approach 81.1 Strategic roadmap for AI development 81.2 Adaptive regulations balancing development,10 safety and governance1.3 Multi-level policy design to accelerate AI implementation 102 Key enablers in the AI ecos

5、ystem 112.1 Strategic infrastructure investments to support AI scaling 122.2 From internet plus to data multiplier 132.3 Advancing industry-specific AI models 142.4 Enabling sustainable energy solutions to power AI 142.5 Efforts to cultivate AI talent 153 Scaling AI innovation in industries 164 Key

6、challenges in Chinas AI development 25Conclusion 26Contributors 27Endnotes 29Blueprint to Action:Chinas Path to AI-Powered Industry Transformation2Reading guideThe World Economic Forums AI Transformation of Industries initiative seeks to catalyse responsible industry transformation by exploring the

7、strategic implications,opportunities and challenges of promoting artificial intelligence(AI)-driven innovation across business and operating models.This white paper series explores the transformative role of AI across industries.It provides insights through both broad analyses and in-depth explorati

8、ons of industry-specific and regional deep dives.The series includes:As AI continues to evolve at an unprecedented pace,each paper in this series captures a unique perspective on AI including a detailed snapshot of the landscape at the time of writing.Recognizing that ongoing shifts and advancements

9、 are already in motion,the aim is to continuously deepen and update the understanding of AIs implications and applications through collaboration with the community of World Economic Forum partners and stakeholders engaged in AI strategy and implementation across organizations.Together,these papers o

10、ffer a comprehensive viewof AIs current development and adoption,aswell as a view of its future potential impact.Each paper can be read stand-alone or alongside the others,with common themes emerging acrossindustries.Impact on industrial ecosystemsCross industryIndustry or function specificImpact on

11、 industries,sectors and functionsAdditional reports to be announced.Regional specific Impact on regionsAdvanced manufacturing andsupply chainsFinancial servicesMedia,entertainment andsportHealthcareTransportTelecommunicationsConsumer goodsLeveraging Generative AI for Job Augmentation and Workforce P

12、roductivityArtificial Intelligences EnergyParadox:BalancingChallenges andOpportunitiesArtificial Intelligence and Cybersecurity:Balancing Risks andRewardsAI in Action:Beyond Experimentation to Transform IndustryBlueprint to Action:Chinas Path to AI-Powered Industry TransformationArtificial Intellige

13、nce inFinancial ServicesFrontier Technologies in Industrial Operations:The Riseof Artificial Intelligence AgentsArtificial Intelligence in Media,Entertainment and SportThe Future of AI-Enabled Health:Leading the WayIntelligent Transport,Greener Future:AI as a Catalyst to Decarbonize GlobalLogisticsU

14、pcoming industry report:TelecommunicationsUpcoming industryreport:Consumer goodsBlueprint to Action:Chinas Path to AI-Powered Industry Transformation3ForewordAs we stand at the forefront of a new era,AI is anticipated to empower various industries,propelling Chinas digital economy to a new level.1In

15、 association with our knowledge partner,Accenture,the World Economic Forums AI Governance Alliance(AIGA)AI Transformation of Industries China deep dive is committed to sharing and equipping business leaders with insightful knowledge and foresight on remarkable transformations powered by AI while sho

16、wcasing best practices that drive innovation and growth in China.This paper presents in-depth insights into China,focusing on AI transformation through:Carol Zhou Head of Platforms and Impact,World Economic Forum BeijingSamantha Zhu Senior Managing Director and Chairperson,Accenture Greater ChinaBlu

17、eprint to Action:Chinas Path to AI-Powered Industry TransformationJanuary 2025The opportunities presented by AI are substantial,but we must also recognize the complexities that accompany this transformation.As AI development accelerates,it is imperative for all leaders to understand the nuances of t

18、his transformation not only to use AI effectively,but also to understand its profound implications for industries and society in China and beyond.The insights presented in this report are enriched by contributions from a diverse working group of experts,spanning academia and businesses.Their collabo

19、ration underscores the importance of strategic navigation and strengthened partnerships to effectively address these challenges.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation4Clarifying the strategyand roadmaps from acountry-level perspectiveIdentifying key enablersfor AI tran

20、sformation within the ecosystemEvaluating AIs potentialacross industries thatadopt AI technologiesExecutive summaryChina is positioning itself as a global leader in artificial intelligence(AI).The country aims to become a primary innovation hub for the technology by expanding its core AI industry to

21、 over$140 billion by 2030,and to boost related sectors to$1.4 trillion in value during the same period.2 Over the past decade,the country has established a robust foundation to support its AI economy and is strategically exploring AI for transformation in some sectors at speed and scale.Three factor

22、s are propelling this transformation:Government support:The government plays a proactive role in facilitating AI development,exhibiting robust strategic planning and execution capabilities.Ecosystem enablers:China has established a vibrant AI ecosystem that promotes collaborative innovation.A cultur

23、e of innovation is also taking root,enabling broader,more inclusive adoption of AI technologies at scale.Industrial application:Leading companies in China are investing heavily in the development of AI,with a focus on key business scenarios to solve industry-specific problems.Despite its success,Chi

24、nas journey towards high-impact AI transformation also highlights key challenges that,if addressed,hold the potential for even more transformative growth.To ensure a bright future for AI development in China,an open,collaborative ecosystem that encourages active participation will be needed.Governme

25、nt support,a dynamic innovation ecosystem and strong industry focus underpin Chinas goal of AI-powered transformation.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation5Introduction Today,Chinas artificial intelligence(AI)industry is large and growing fast:it now exceeds$70 billio

26、n and has cultivated over 4,300 companies that have contributed to a continuous stream ofbreakthroughs.3This transformation is propelled by a dynamic interplay between market forces and government initiatives,all operating within a comprehensive framework designed to promote innovation.Chinas fast-g

27、rowing$70 billion AI industry sees soaring optimism,yet collective effort is key to unlocking scalable impact.Research framework for the AI-powered industry transformation in ChinaFIGURE 1Industrial manufacturingAutomotive and autonomous transportation RetailHealthcarePublic servicesRenewable energy

28、and utilitiesFinanceIndustrialapplicationEcosystemenablersInfrastructureDataFoundation modelEnergyTalentGovernment supportStrategic roadmap for AI developmentAdaptive regulations balancing development,safety and governanceMulti-level policy design to accelerate AI implementationSource:World Economic

29、 Forum and Accenture.From the company perspective,AI is seen as a significant opportunity for revenue growth.Between 2018 and 2021,the share of companies revenues in China that were AI-influenced more than doubled;by 2024,the share is expected to be roughly triple 2018s figures.4 In total,90%of Chin

30、ese firms view generative AI(genAI)as essential for growth,reflecting high optimism in its potential.5 Blueprint to Action:Chinas Path to AI-Powered Industry Transformation6AI-influenced revenues at Chinese companies,2018 vs 20241,2FIGURE 2High 30%Medium 10-30%Low 10%AI-influenced revenue share(%)20

31、182021202412%25%36%Average AI-influenced revenue shareNote:1.2024=projected 2.Definition of“AI-influenced”revenues:a)sales of existing products and services made possible through better AI-driven insights on customers,supply chain,channels,b)sales of new products and services made possible by human

32、and AI,and c)higher prices through dynamic pricing ML algorithms.These sales include some cannibalization and net new revenues.In contrast,this definition is excluding higher efficiencies in production operations thanks to AI.Source:Accenture.Despite this promising outlook,studies and consultations

33、conducted for this paper indicate that genAIs industrial application in China is still in its early stages.Large-scale,integrated deployment remains limited as companies work to overcome various challenges,detailed below.As Chinas AI ecosystem matures,these initial explorations will lay the groundwo

34、rk for deeper,more transformative impact in the future.7Blueprint to Action:Chinas Path to AI-Powered Industry TransformationChinas national strategy and governance approach 1Chinas three-tiered AI strategy:a strategic roadmap,adaptive regulations and multilevel implementation.China has demonstrated

35、 a clear commitment to long-term goals in the AI sector through top-level planning.The Next Generation AI Development Plan(2017)6 details a three-phase strategy for advancing AI and its applications in the country.To achieve its AI goals,the Chinese government has also issued guidelines such as Acce

36、lerating Scenario Innovation to Promote High-Level Applications of AI for High-Quality Economic Development(2022)which emphasize the integration of AI technologies across sectors tofacilitate sustainable economic growth.7To further develop the countrys AI standards framework,the Guidelines for the C

37、onstruction of a Comprehensive Standardization System for the National Artificial Intelligence Industry(2024)were introduced.8 These guidelines aim to strengthen the standardization system for AI by establishing over 50 new national and industry standards.1.1 Strategic roadmap for AI developmentChin

38、as strategic AI development planFIGURE 3Step 1 2020Step 22025Step 32030 AI technology and applications are synchronized with the worlds advanced levels The AI industry is a new key driver of economic growth The application of AI technology provides a new way to improvepeoples livelihoods Major advan

39、cements to be made in the foundational theories of AI AI becomes a key driver of industrial and economic transformation in China Solid progress to be made in advancing the development of an intelligent society AI theories,technologies and applications to reach global-leading level,making China a key

40、 hub for global AI innovation.The breadth and depth of AI applications to be significantly expandedSource:World Economic Forum and Accenture Research.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation8Chinas AI standards framework(2024)FIGURE 4Overarching standards Technicalfounda

41、tionsKey technologies Intelligent product and service Terminology Reference architecture Assessment methods Management Sustainability Other Basic data services Smart chips Intelligence sensors Computing infrastructure Computing centre Software framework Development frameworks Hardware and software s

42、ynergy Other Machine learning Knowledge graph Large foundation models Natural language processing Intelligent language Computer vision Biometric identification Human-machine hybrid augmented intelligence Intelligent agent Collective intelligence Cross-media intelligence Embodied intelligence Other I

43、ntelligent robot Smart transport vehicles Smart mobile terminals Virtual human Intelligence services OtherIntelligence process in manufacturing and other key sectorsIndustry applicationsSecurity and ethics Smart cities Scientific computing Smart agriculture Smart energy Smart environmental protectio

44、n Smart finance Smart logistics Smart education Smart healthcare Smart transport Other Research and development design Pilot testing Manufacturing Marketing services Operations management Raw materials sector Consumer goods sector Equipment sector Basic security Data,algorithm and model security Net

45、work,technical and system security Safety management and services Safety testing and assessment Safety labelling,content identification R&D and operational services of AI OtherChinas AI standards framework(2024)Source:World Economic Forum and Accenture research,public information from government web

46、site.These standards,which are intended to impact at least1,000 Chinese technology companies by 2026,seek to promote uniformity and enhance safety within the countrys AI ecosystem.Additionally,China plans to contribute to the development of over 20 international standards tosupport global collaborat

47、ion in AI.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation91.3 Multi-level policy design to accelerate AI implementationChinas AI policy is characterized by a coordinated effort between the central government and various levels of local government.The central government provides

48、 the overarching strategic direction for AI development,while local governments focus on implementing these strategies and supporting industry growth.This multi-tiered approach allows for the creation of clusters that play to regional strengths and industry-specific advantages,thereby facilitating a

49、comprehensive national AI ecosystem.To encourage practical applications of AI,for example,the central government emphasizes both coordination and self-sufficiency among local governments.To achieve this,provinces and cities are actively establishing policy support systems tailored to their specific

50、stages of AI development.For instance,Shanghai has issued Chinas first provincial-level regulation for industrial AI development,14 while Guangzhou is focused on promoting the integrated construction of its“vehicle-road-city”model,15 which encompasses smart transport,infrastructure and urban plannin

51、g.This multifaceted approach not only tackles local challenges,but ultimately contributes to a more cohesive and effective AI ecosystem across China.The development of AI in China is,however,marked by significant regional disparities,largely due to uneven economic development across the country.The

52、central government provides the overarching strategic direction for AI development,while local governments focus on implementing these strategies and supporting industry growth.1.2 Adaptive regulations balancing development,safety and governanceA distinguishing feature of Chinas approach is the inte

53、grated relationship between the government and its highly regulated technology sector.The country has many existing regulations that impact the development and use of AI in China.Examples include the Next Generation Artificial Intelligence Governance Principles(2019),9 Next Generation Artificial Int

54、elligence Code of Ethics(2021)10andInterim Measures for Ethical Review of Science and Technology(2023).11In addition,various existing regulations address areas such as algorithm recommendations,deepfakes and content labelling.For instance,Management Measures for Internet Information Service Deep Syn

55、thesis(2022)12 aims to regulate deepfake generation,from creation to dissemination.Meanwhile,the AI Safety Governance Framework(2024)governs the classification of AI risks and corresponding safety guidelines for algorithm developers and service providers.Though the principle of balancing innovation

56、with responsible development has been established in China,the regulatory landscape continues to evolve rapidly.To provide clear directives that ensure safety while encouraging innovation for genAI,the government also issued the directive Interim Measures for the Management of Generative AI Services

57、(2023).13 The frameworks establish a tiered regulatory approach that is both cautious and flexible,allowing companies to test new products and technologies in real market conditions under the supervision of regulatory authorities.10Blueprint to Action:Chinas Path to AI-Powered Industry Transformatio

58、nKey enablers in the AI ecosystem 2Five key enablers infrastructure,data,technology,energy and talent development are powering Chinas AI innovation.China has made substantial investments to upgrade and transform its infrastructure,data and energy into a critical resource for AI.Various stakeholders

59、including government,industries,universities,research institutes and end-users are also collaborating to promote the widespread adoption of AI throughout China.This collaborative effort is,in turn,driving the development of AI industry clusters and nurturing a vibrant AIecosystem.Chinas five key ena

60、blers of AIFIGURE 51Infrastructure26%of the worlds total computing power was accounted for by China as of June 20242Data26%CAGR(compound annual growth rate)for Chinas annual data volume3Foundational models188foundation models registered at the national level as of August 20244Energy22%year-on-year i

61、ncrease in the total number of national green data centers in China in 20235Talent47%of the worlds top AI researchers are now in ChinaSource:World Economic Forum and Accenture research,with data sourced from IDC,MacroPolo and other public sources.Blueprint to Action:Chinas Path to AI-Powered Industr

62、y Transformation112.1 Strategic infrastructure investments to support AI scalingChinas advanced information and communication technology infrastructure,including extensive 5G networks,high-capacity data centres and robust cloud computing facilities,has provided a solid foundation for AI advancement.

63、The widespread deployment of 5G networks,facilitates high-speed,low-latency communication and is essential for large-scale AI model training,efficient data processing and real-time AI applications.The number of data centres in the country has also grown rapidly,with over 8.1 million standard racks n

64、ationwide,as has Chinas computing power at 230 exaflops(EFLOPS),its the second-most globally.16 In terms of computing power,companies and governments are exploring public computing service centres to maximize efficiency by leveraging underused computing resources across organizations.AI infrastructu

65、re,including computing power and technology platforms,is actively promoted for such shared use.By tapping into shared data and computing resources,small-and medium-sized companies and research institutions can engage in cost-effective AI model development and applications.These shared resources can

66、be tailored to specific application needs,too.For example,intelligent transport requires low-latency computing for real-time monitoring and data analysis,while smart manufacturing demands highly precise computing capabilities.This flexible management of computing resources enables effective support

67、for AI applications across diverse scenarios.In 2023,China Mobile launched the BaiChuan computing power grid platform,building on the 2021 computing power network concept.It integrates supercomputing,quantum computing,and more,collaborating with data centres and cloud providers to exceed 3.3 EFLOPS

68、in capacity.17 The initiative consolidates fragmented computing resources into a unified network,making temporary borrowing of computing power common in Zhejiang Province.By effectively coordinating these resources,China Mobile is using this coordination to establish a new computing power service sy

69、stem.18CASE STUDY 1China Mobiles BaiChuan platform building a unified intelligent computing power network Chinas advanced information and communication technology infrastructure has provided a solid foundation for AI advancement.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation12

70、Global growth in data volumesFIGURE 650.00100.00150.00200.00250.00300.0020222023202420252026202723.8828.0551.730.00Global data volume:2022-2027(zettabytes)The scale of data in China has achieved a CAGR of 26.3%,ranking first in the worldChinaNorth AmericaOther regions of the world30.0234.5561.7538.0

71、042.1873.3447.8952.4187.7360.8164.13105.3376.6079.54128.16Source:IDC Global DataSphere.Achieving data interoperability across diverse fields,stages and industries in China still presents a considerable challenge,however.For example,in order to overcome barriers to sharing data,local governments are

72、promoting the creation of common data repositories and open source AI technology in partnership with industry,academia and research institutions.2.2 From internet plus to data multiplier The annual volume of data produced in China will grow from 24 ZB in 2022 to an estimated 77 ZB in 2027 a compound

73、 annual growth rate(CAGR)of 26%that is unrivalled elsewhere.19 As AI technology continues to evolve,its interplay with data will become increasingly vital.China has unveiled a comprehensive data strategy that positions data as a cornerstone for national development and technological innovation.20 Ce

74、ntral to this strategy is the launch of the National Data Administration,a government agency tasked with coordinating data-related policies,promoting the construction of data infrastructure and enhancing data governance across the country.This data-focused strategy also marks ashift in Chinas approa

75、ch to the digital economy from the internet plus model,which focused on internet integration with traditional industries,to a data multiplier model that emphasizes datas transformative impact across sectors.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation13The Sunshine Zhengyan

76、GPT is an LLM that showcases the immense potential of Chinas vertical-specialization approach,combining proprietary data with sector-specific applications.Developed by Sunshine Insurance Group,this LLM was trained to enhance customer service,sales support and intelligent claims processing.Since its

77、implementation,the model has improved information extraction accuracy by 15%compared to the pre-trained language model BERT.21 Meanwhile,the injury claims bot launched in March 2024 is now used in over 80%of cases handled by the firm,with an accuracy rate of nearly 96%in document classification.22CA

78、SE STUDY 2Sunshine Zhengyan GPT transforming insurance with AI-driven claims and service excellence2.4 Enabling sustainable energy solutions to power AIAs AI advances,its energy demands are surging.Foundation models require substantial computing power and can consume up to 33 times more energy in or

79、der to complete a task compared to task-specific software.23 In response to these demands,China is prioritizing sustainable energy solutions to power AI while minimizing its environmental impact.One significant advantage for China in advancing its AI infrastructure is its ability to rapidly supply g

80、reen energy.The country has established the worlds largest and most comprehensive renewable energy industry chain.24 China is projected to account for nearly 60%of all renewable energy capacity installed globally between now and 2030 thereby positioning the country to host almost half of the worlds

81、renewable power capacity by the end of the decade.25 In addition to increasing renewable energy capacity,China is actively redistributing computing resources internally,from densely populated eastern regions to western regions where renewable energy is abundant.The East Data,West Computing strategic

82、 initiative has received over$6.1 billion in government funding over the past two years alone.26For their part,green data centres in China are rapidly evolving,driven by government initiatives,technological innovation and industry commitments to sustainability.To date,246 green data centres have bee

83、n established in the country,with an average power-usage effectiveness of approximately 1.2.27 Cooling systems,which account for 30-40%of a data centres energy consumption,28 present a significant opportunity for efficiency gains.By optimizing these systems alongside renewable energy and intelligent

84、 management,China can create greener,more sustainable data infrastructure.2.3 Advancing industry-specific AI models In the rapidly advancing field of large language models(LLMs),China is witnessing a strong trend towards the development of industry-specific or domain-specialized models.Through close

85、 collaboration with industry partners,these models integrate specific data,knowledge and task requirements,thereby enabling deeper customization and optimization.This vertical specialization could unlock significant advantages for domain-specific use cases within industries that are characterized by

86、 high levels of digitalization,robust data foundations and intricate knowledge systems.Concerns about data security and the potential leak of proprietary information,however,have made some organizations cautious about data sharing,which limits the generalizability and accuracy of industry-specific o

87、r domain-specific models.To maximize the impact of domain-specific LLMs,research shows that cross-industry collaboration and coordinated efforts between upstream and downstream partners are essential.China is prioritizing sustainable energy solutions to power AI while minimizing its environmental im

88、pact.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation14The Dongjiang Lake Big Data Centre in Hunan Province operates over 36,000 servers and is a promising example of a green data centre.It uses an innovative cooling system that pumps cold water from the lake and employs plate h

89、eat exchangers to maintain an optimal temperature of around 26C.This process only raises the water temperature by two to three degrees before returning it to the lake,ensuring minimal environmental impact.The data centre aims to save 2 billion kilowatt-hours(kWh)of electricity annually,which transla

90、tes to a decrease in carbon dioxide emissions by 2 million tonnes.Additionally,it relies on renewable energy sources such as hydroelectric,wind and solar power to sustain itsoperations.29CASE STUDY 3Dongjiang Lake Big Data Centre sustainable cooling andrenewable energy innovation2.5 Efforts to culti

91、vate AI talentWith Chinas rapid advances in AI technology,demand for skilled AI professionals has surged.Applications in fields such as autonomous driving,smart manufacturing and healthcare are further driving the need for professionals with diversified skills.At least 535 universities in China curr

92、ently offer AI-related majors,30 reflecting a growing emphasis on AI talent cultivation across the country.Its estimated that China now accounts for nearly half of the worlds top AI researchers.31 Tsinghua University,for instance,has become renowned asa hub for top AI start-ups founded byits faculty

93、 andalumni.More broadly,Chinas emphasis on AI clustering strengthens its talent pipeline by creating hubs of excellence centred around leading universities and research institutions.These clusters create a self-reinforcing cycle of talent and resource aggregation,further driving AI innovation and bo

94、osting Chinas competitiveness in the global AI talent landscape.Applications in fields such as autonomous driving,smart manufacturing and healthcare are further driving the need for professionals with diversified skills.15Blueprint to Action:Chinas Path to AI-Powered Industry TransformationScaling A

95、I innovation in industries3A strategic focus on real-world industry needs is driving sector-specific innovations.Chinas diverse industrial landscape,with extensive supply chains and varied sectors,creates a rich environment for AI adoption and innovation.As such,AI technology offers significant grow

96、th opportunities in key industries in China,particularly in manufacturing,automotive,retail,healthcare,finance,utilities and public services.The deep integration of AI technology with business use cases in China has become a catalyst for bothdriving AI innovation and accelerating industrialtransform

97、ation.Chinas AI innovation is also increasingly characterized by cross-disciplinary fusion,which involves integrating AI with 5G,industrial robotics and other advanced technologies.This multidisciplinary approach,in turn,amplifies the impact of AI across sectors.There are 1.7 million industrial robo

98、tsoperating in Chinas factories;in 2023 the total annual installations of robotics in China represented 51%of global demand.32Top AI application scenarios in China by industryFIGURE 7Automotive and autonomous transport HealthcareRetailFinanceRenewable energy and utilitiesPublic services Autonomous d

99、riving Intelligent cabins Energy management Assisted diagnosis and screening Healthcare delivery Assisted treatment Drug R&D Hyper-personalized engagement Supply chain/logistics operations Virtual live host Credit risk management Financial inclusion Fraud detection Digital payment Production optimiz

100、ation Quality management Smart cityIndustrial manufacturing Source:World Economic Forum and Accenture.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation16Industrial manufacturing Chinas manufacturing sector is undergoing a profound transformation propelled by the integration of ad

101、vanced AI technologies such as LLM,machine learning,computer vision and digital twins.This convergence is not only enhancing operational efficiencies but also redefining strategic priorities and competitive dynamics within the industry.AI applications like production optimization,predictive maintena

102、nce,intelligent quality control and AI-assisted design are revolutionizing traditional manufacturing processes by enabling real-time data collection,advanced analytics and automated decision-making.AI-driven technologies enable flexible,demand-driven manufacturing systems that replace rigid producti

103、on lines,allowing manufacturers to swiftly adapt to changing consumer preferences and market trends.This shift not only empowers companies to meet the growing demand for personalized products but also creates new service-oriented business models.Selected scenarios and solutions in industrial manufac

104、turingTABLE 1ApplicationSolutions in ChinaProduction optimization AI-equipped robots are increasingly used in factory assembly,reducing human error and enhancing safety.Mobileand collaborative AI-vision robots are projected to grow over 20%annually by 2027.33 AI and 5G-driven industrial internet sup

105、port mass customization and flexible manufacturing via the connection ofavast array of industrial equipment.Quality management The quality inspection market for industrial AI is projected to have a CAGR of33%from 2022 to 2026.34 AI and 3D visual inspection technology(including robots)have made signi

106、ficant breakthroughs in their ability toanalyse complex structural products.35 Perform root-cause analysis of defects and resolve issues,thereby establishing a closed-loop quality managementsystem.COSMOPlat is an industrial internet platform established by Haier Group,specializing in industrial inte

107、rnet solutions powered by its“Tian Zhi”AI platform.The platform facilitates comprehensive interconnection among devices,systems and processes,while also focusing on specific industries and sectors.Chuangzhi Factory,for instance,was recognized as the first lighthouse in Chinas printed circuit board a

108、ssembly industry.By integrating AI and digital technologies,COSMOPlat also successfully established a dynamic optimization network that connects six factories and over 500 ecological partners,while also achieving a 50%improvement in order-to-delivery.36USE CASE 1Haier COSMOPlat AI-driven innovation

109、hub for industrial transformationBlueprint to Action:Chinas Path to AI-Powered Industry Transformation17Traditional quality inspection,which depends largely on human eyes and experience,is slow and susceptible to mistakes.By installing seven ball-shaped cameras on its production line,GAC Honda achie

110、ved comprehensive,graphical and zero-code AI visual model production.This translated into big process improvements for the company:a mere one-second vehicle-detection time,an over 80%increase in data utilization,and a tenfold improvement in analysis efficiency.37USE CASE 2GAC Honda enhancing quality

111、 inspection with AI-driven visual detectionAutomotive and autonomous transport Using Chinas extensive 5G infrastructure and smart transport networks,autonomous driving companies in the country are actively enhancing their intelligence systems.This progress is supported by pilot testing and operation

112、al permits in Beijing,Guangzhou,Wuhan and other major cities.The development of autonomous driving in China aligns closely with the countrys“vehicle-road-cloud”collaboration framework,which facilitates integration between vehicles,road infrastructure and cloud computing.More broadly,autonomous trans

113、port has emerged as a key area for AI innovation and application in China.Selected scenarios and solutions in automotive and autonomous transportTABLE 2ApplicationSolutions in ChinaAutonomous driving Autonomous taxis are being piloted in more than 50 cities.38 Obstacle detection with computer vision

114、 technology allows vehicles to make real-time decisions without being subject to potentially dangerous distractions.Route optimization allows vehicles to integrate real-time traffic and map data.Intelligent cabins Over 67%of new vehicles sold in the first quarter of 2024 came with intelligent cabins

115、 that featured large screens,voice-controlled command systems and access to the internet.39 Intelligent cabins improve drivers experiences by analysing sensor and GPS data to provide tailored travel suggestions and services.AI companions provide services such as chatting,entertainment and itinerary

116、planning.Apollo Go,Baidus autonomous ride-hailing service that operates in multiple Chinese cities,has made significant progress in commercializing fully driverless operations over the past year.It has begun offering 100%fully driverless operation across the entirety of Wuhan City.Apollo Go has prov

117、ided about 899,000 rides in the second quarter of 2024,a year-on-year increase of 26%.As of 28 July 2024,the cumulative rides provided to the public by Apollo Go surpassed 7 million.40USE CASE 3Apollo Go pioneering fully driverless ride-hailing18Blueprint to Action:Chinas Path to AI-Powered Industry

118、 TransformationRetail Fuelled by an extensive internet user base and the influence of commercial giants like Alibaba,JD and ByteDance,Chinas New Retail model involves integrating AI deeply into online and offline shopping to enhance customer engagement and personalization.The countrys commercial gia

119、nts utilize traditional AI for operational efficiencies,such as supply-chain automation and demand forecasting,while using genAI for dynamic,consumer-facing innovations,such as personalized shopping recommendations and virtual assistants.The power of genAI and other forms of AI allows Chinese retail

120、ers to improve customer engagement,address operational challenges and adapt swiftly to Chinas highly competitive retail market.In fact,surveys show that over half of the merchants that trade on Chinas main e-commerce platforms have already used at least one genAI-enabled tool.41 Selected scenarios a

121、nd solutions in retailTABLE 3ApplicationSolutions in ChinaHyper-personalized engagement 55%of companies in China claim that genAI has impacted their customer strategy by automating some parts of customer service.42 GenAI can gather and analyse customer feedback from reviews and social media,allowing

122、 retailers to refine products based on consumer input.GenAI can provide personalized content and recommendations by integrating customer data and can predict customer needs with high levels of accuracy.Virtual live host AI-powered hosts can operate 24/7 and effectively mimic human expressions and in

123、teractions.Supply chain/logistics operations Routes can be optimized for delivery fleets,inventory management and forecasting demand accurately,ensuring timely and efficient distribution of goods.A 3D visualization solution can generate warehouse layouts using natural language instead of computer co

124、de.Livestreams with product promotions are becoming a prevalent form of retailing in China.However,the cost of a livestream can be substantial.E-commerce leader JD has advanced the application of digital human technology,focusing on key areas such as digital human creation,natural language processin

125、g and text-to-speech capabilities.These developments have enabled more lifelike appearances,voices and interaction styles.43USE CASE 4JDs Digital Human e-commerce with AI-driven livestreamSportswear company ANTA uses AI-generated content(AIGC)technology to transform its marketing and retail strategi

126、es.For example,ANTA places a strong emphasis on shopping-guide operations;by utilizing algorithm-recommended product combinations,the company aims to enhance its sales success rate.ANTA also uses AIGC during digital human live streaming to enhance customer engagement.In 2023,ANTA was recognized for

127、its innovations when Tencent named the sportswear firm in its Top 10 in Smart Retail Digital Operations list.44USE CASE 5ANTA retail with AI-generated content and smart marketingBlueprint to Action:Chinas Path to AI-Powered Industry Transformation19Healthcare China is using its vast healthcare data

128、pool to tackle systemic challenges,such as the uneven distribution of medical resources.For example,initiatives like Health China 2030 emphasize the transformative role of AI in enhancing the accessibility,efficiency and quality of medical care in the country.To support this transformation,China dev

129、eloped city-level population health information systems that allow enterprises to access data for business-to-business AI application development.These systems also provide a solid foundation for operations such as training sophisticated AI algorithms,facilitating the digitization of medical records

130、 and creating AI-assisted diagnostic tools that improve healthcare accessibility.Selected scenarios and solutions in healthcareTABLE 4ApplicationSolutions in ChinaAssisted diagnosis and treatment 76%of clinicians in China are confident in using AI for clinical decision-making,45 a figure that is hig

131、her than the global average of 61%.46 Enhance diagnostic accuracy(e.g.the accuracy of judging the absence of pancreatic lesions with AI is as high as99.9%).47 Use of AI-driven medical image screening including subfields such as AI/pathology,AI/ultrasound,AI/endoscopy and AI/electrocardiography is ex

132、panding.48Assisted treatment AI technology enhances the automation and efficiency of surgical procedures by autonomously performing denoising and modelling.Healthcare delivery AI-powered healthcare delivery in areas like telehealth,personal health record management and clinical decision support syst

133、ems is becoming more common.Virtual care,including for intelligent diagnosis and consultation,remote monitoring,remote surgery and robotic assistance,is another emerging area.5G-enabled medical robots have been deployed in hospitals to assist with patient care,disinfection and logistics.Drug researc

134、h and development(R&D)Chinas AI-driven drug R&D sector is projected to reach$187 million in 2024,making up 12%of the global market,with 30%annual growth.49 Use AI to accelerate first-in-class drug R&D,boosting drug discovery,treatment and healthcare outcomes.Accelerate R&D for traditional Chinese me

135、dicine.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation20The AI Healthcare Manager is an AI-powered platform within Alipay that exemplifies a comprehensive approach to healthcare by connecting users to over 30 health services with cross ecosystem data integration,including docto

136、r recommendations,medical report interpretation,in-hospital navigation,and personalized medical advice.50It also integrates 20 Al agents from health service providers including hospitals.One notable example is Angel,an Al agent which served over 1,000 medical institutions with over 10 million intera

137、ctions.51CASE STUDY 4Alipay AI Healthcare Manager a comprehensive platform for personalized healthcare servicesAgent Hospital,developed by Tsinghua University,uses AI-powered agents to simulate a full healthcare process,enabling virtual doctors to diagnose and treat virtual patients.Through continuo

138、us learning and case reviews,the system achieves high accuracy,outperforming existing methods in respiratory disease diagnosis with a93.06%accuracy on the MedQA dataset.53USE CASE 7Tsinghua University pioneering healthcare innovation with AI-powered virtual hospitalGE Healthcare China developed a pl

139、atform that uses AI technology for CT(computed tomography)clinical imaging,which enhances the effectiveness and quality of the clinical process.Notably,the platform is the first to apply deep learning reconstruction using deep neural network models,across both conventional and spectral imaging.Devel

140、oped by the local R&D team in response to local clinical needs,the platform marks a significant milestone in CT technology and imaging exploration.52USE CASE 6GE Healthcare China advancing CT imaging with AI-powered deep learning technologyBlueprint to Action:Chinas Path to AI-Powered Industry Trans

141、formation21The Industrial and Commercial Bank of China(ICBC)is one of the worlds largest banks.To enhance its enterprise-wide risk management,ICBC developed the ICBC Security e-Message (融安e信),an anti-fraud platform.The platform embraces digitalization in credit risk management and explores multi-sce

142、nario applications of big data and AI.The platform also integrates more than 3 billion pieces of internal and external data to provide intelligent risk control services,supporting over 300 corporate clients in the financial services sector in the process.59USE CASE 8Industrial and Commercial Bank of

143、 China enhancing risk management with AI-powered eShield anti-fraud platformFinance When it comes to digital finance,China is a leader in market size,number of users and net interest income;$460 billion in 2024,equal to about 31%of the global total.54 The country also leads in digital payments,with

144、platforms like Alipay and WeChat Pay ubiquitous in daily transactions.55 Chinas finance industry has established a solid digital foundation and is at the forefront of AI transformation efforts.For example,12 Chinese financial firms made it into the global top 20 ranking by the Massachusetts Institut

145、e of Technology(MIT)Technology Review for public patent applications related to AI models.56 Chinese financial institutions are also actively creating AI ecosystems by collaborating with tech giants,telecom operators and business clients.The goal is to aggregate multidimensional data,high-performanc

146、e computing power and advanced algorithms to make their respective firms trulyAI-driven.The table below shows widespread AI applications in Chinese finance,spanning financial inclusion,fraud detection,credit risk management and digitalpayment.ApplicationSolutions in ChinaFinancial inclusion AI expan

147、ds financial access by using alternative data for credit scoring,enabling banks to lend to individuals without traditional credit histories.Predicts small enterprise cash flow,enabling financial institutions to offer tailored wealth-management services.57Fraud detection AI strengthens fraud detectio

148、n by analysing transaction data and using predictive algorithms to spot potentialrisks.Credit risk management Machine learning analyses borrower profiles and credit histories,helping banks make more informed lendingdecisions.Digital payment A cashless ecosystem permeates daily life,with mobile payme

149、nt penetration reaching 86%of the population.58 Facial and voice recognition improve payment security,efficiency and user experience.AI enables efficient,automated processing of cross-border transactions.Selected scenarios and solutions in finance TABLE 5Blueprint to Action:Chinas Path to AI-Powered

150、 Industry Transformation22Envision Energy uses AI algorithms to monitor and optimize the performance of its wind turbines.The upshot for the company and its customers is more optimal energy output and lower maintenance costs.Thanks to its technological proficiency,Envision Energy manages over 17%(67

151、0 gigawatts)of the worlds installed capacity of renewable energy.62USE CASE 10Envision Energy AI-optimized wind turbines for maximal efficiency and reduced costsRenewable energy and utilitiesRegional and seasonal imbalances in power generation and demand,along with operational inefficiencies,are com

152、mon challenges faced by utilities companies around the world.To address these challenges,China is rapidly developing a new energy system powered by AI technologies,with key initiatives already in place.These include uncrewed power plants,more efficient energy storage and improved smart grid operatio

153、ns,equipment maintenance and optimization,etc.By transforming the business models of Chinese utilities through applications like virtual power plants,carbon trading and spare-parts platform transactions,AI is enhancing operational efficiency and promoting sustainability and decarbonization.Applicati

154、onSolutions in ChinaEnergy management AI forecasts of electricity generation and demand improve the integration of renewables into the grid.AI improves grid stability through real-time monitoring of electricity flows,optimizing power distribution and more.AI powers intelligent operations,with robots

155、 widely used for equipment inspection and testing,replacing about 80%of manual labour.60Selected scenarios and solutions in renewable energy and utilitiesTABLE 6The State Grid Corporation of China(SGCC)developed an AI platform to serve its headquarters and 27 provincial companies.The platform includ

156、es essential functions,such as data analysis and AI model training,to enhance its adaption to various application scenarios and business needs.For example,SGCC uses the AI Electricity Load Forecasting System for real-time data analysis and forecasting to better balance electricity loads during peak

157、consumption hours,while enhancing the integration of renewable energy sources into the power grid.The system achieved an accuracy rate of up to 97.8%in day-ahead forecasting in2024.61USE CASE 9State Grid Corporation of China AI-driven load forecasting forsmart grid optimization and energy efficiency

158、23Blueprint to Action:Chinas Path to AI-Powered Industry TransformationApplicationSolutions in ChinaSmart city AI integrates public services through super-apps from private and government entities,enabling citizens to pay bills,schedule appointments,etc.AI enhances urban management with a unified sy

159、stem for traffic,emergencies and environmental monitoring.Selected scenarios and solutions in public servicesTABLE 7Public servicesChina is actively promoting the application of AI in public sector management to enhance efficiency,optimize public services and improve decision-making processes.A key

160、aspect of this strategy involves developing“smart cities”,which aim to address urban management challenges and meet citizen demands by integrating technologies such as big data,AI and digital twins.China has already implemented smart city initiatives for 94%of provincial capital cities and 71%of pre

161、fecture-level cities.63 AI is expected to further improve the operational efficiency and innovation capabilities of Chinese cities.64Alibabas City Brain project is a comprehensive smart-city initiative that uses AI to optimize various aspects of urban management and to enhance quality of life for re

162、sidents.City Brain optimizes traffic flows,improves public safety,manages public healthcare efficiently and enhances urban planning.For example,in Hangzhou,the City Brain analyses data from traffic cameras and sensors to manage traffic lights dynamically,reducing congestion and improving emergency r

163、esponse times.65USE CASE 11Alibaba City Brain AI-driven smart city for traffic,safety and urban efficiencyBlueprint to Action:Chinas Path to AI-Powered Industry Transformation24Key challenges in Chinas AI development4Chinas journey towards impactful AI transformation calls for collaboration across s

164、ectors and borders to unlock its full potential.Infrastructure and computing power China has become one of the leading forces in global computing power development.Chinas computing advantage is expected to extend beyond mere capacity to include higher computational efficiency,broader application of

165、emerging technologies and more comprehensive infrastructure support.However,several challenges need to be addressed to maintain this momentum.These include improving network connectivity to facilitate seamless communication between distributed computing centres,managing the diversity of computing re

166、sources to ensure interoperability,optimizing compatibility across diverse chip architectures and instruction sets,and promoting greater collaboration among ecosystem stakeholders.Data useChinas extensive data resources are a cornerstone for its AI development.Despite this vast volume,challenges per

167、sist in data quality,interoperability and accessibility,which impact the effective training and deployment of AI models.Fragmented data flows across industries hinder the ability to consolidate data into a coherent,accessible resource pool for AI applications.These data islands prevent effective AI

168、model training and limit insights across sectors.Government agents and companies are working to improve data interoperability and encourage cross-sector data sharing and structured cross-border data circulation under-regulated frameworks to unlock the full value of Chinas data ecosystem.By tackling

169、these data-related challenges,China can further bolster its AI ecosystem while contributing to a more cohesive and innovative global data landscape.Algorithms and model sophisticationWhile China has made notable progress in both general-purpose and industry-specific AI models,there remains an opport

170、unity to increase basic research and fundamental innovation.Given the complexities and demands of industrial applications,Chinese companies often find it beneficial to prioritize specialized,smaller models tailored for specific scenarios.This practical approach has helped strengthen Chinas competiti

171、veness in terms of product-market fit and affordability.However,it also suggests that there is further potential for pioneering breakthroughs and transformative advancements.Addressing this area of opportunity could involve continued innovation in core algorithmic capabilities,possibly through encou

172、raging closer partnerships between industry and academic institutions.Such collaborations can accelerate the development of adaptable algorithms and enable China to further advance the sophistication of its AI capabilities.AI proficiency and talent Although China is home to nearly half of the worlds

173、 top AI researchers,the sheer demand for such talent has led to notable shortages.According to the countrys Ministry of Human Resources and Social Security,the talent gap in AI in China exceeds 5 million people,with a supply-demand ratio as high as 1:10.66 As AI integration across industries acceler

174、ates,the demand for interdisciplinary talent with a deep understanding of both AI and specific industry contexts is growing.Yet existing education and on-the-job training must scale up to meet this demand.Establishing joint initiatives between industry,academia and government can facilitate targeted

175、 training,on-the-job skill enhancement and tailored curriculum development.Looking ahead,global cooperation and open dialogue on talent development will be increasingly important.Engaging in international exchange programmes,research partnerships and best-practice sharing can help align global educa

176、tion standards and create a collaborative ecosystem fortalent growth.As AI integration across industries accelerates,the demand for interdisciplinary talent with a deep understanding of both AI and specific industry contexts isgrowing.Blueprint to Action:Chinas Path to AI-Powered Industry Transforma

177、tion25ConclusionChinas AI transformation reflects a synergistic interplay of policy frameworks,a robust ecosystem and industry-driven innovation,positioning the nation as a pivotal player in the global AI landscape.The continued investment in foundational infrastructure,coupled with the strategic pr

178、ioritization of industry-specific AI applications,has spurred rapid advances.Yet Chinas journey towards high-impact AI transformation also highlights key challenges.Addressing these challenges will require intensive collaboration across public and private sectors,academia,and international partners

179、to create an open ecosystem capable of achieving scalable and transformative impact in AI development.Blueprint to Action:Chinas Path to AI-Powered Industry Transformation26ContributorsWorld Economic Forum Maria BassoDigital Technologies Portfolio ManagerJill HoangInitiatives Lead,AI and Digital Tec

180、hnologiesYuzhe LiuEarly Careers Programme,Advanced Manufacturing and Centre for the Fourth Industrial RevolutionCarol ZhouChina Head,Platforms and ImpactAccentureJidong ChenManaging Director,Strategy and Consulting,Greater ChinaJeff LuoManaging Director,Data and AI Lead,Strategy&Consulting,Greater C

181、hina,Shenzhen Innovation Hub&Gen AI Studio LeadWorld Economic Forum Na NaChina Lead,Advanced Manufacturing and Centre for the Fourth Industrial RevolutionAccentureSophia Wenrui GuProject Fellow,Strategy and Consulting Director,Greater ChinaFreda Hua TongResearch ManagerBella Wenjing XuProject Fellow

182、,Song Consultant,Greater ChinaYa YuResearch ManagerLead authors Project teamThe findings in this paper are based on numerous interviews,discussions and other research.The opinions expressed above do not necessarily reflect the views of the individuals or organizations involved in the project or list

183、ed below,nor is the list of contributors below exhaustive.World Economic Forum Andre BelelieuHead,Financial Services IndustriesDaniel DobrygowskiHead,Governance and TrustGinelle Greene-DewasmesInitiatives Lead,Artificial Intelligence and EnergyZara IngilizianHead,Consumer Industries;Member of the Ex

184、ecutive CommitteeDevendra JainInitiatives Lead,Frontier Technologies for OperationsJitka KolarovaLead,Health&Healthcare InnovationBenjamin LarsenLead,Artificial Intelligence and Machine LearningCarrie LiuProject Lead,Health and Healthcare ChinaDrew PropsonHead,Technology and Innovation in Financial

185、ServicesBlueprint to Action:Chinas Path to AI-Powered Industry Transformation27Pengcheng QuHead,Geopolitical and Regional Agenda,CRTG ChinaHannah RosenfeldSpecialist,Artificial Intelligence and Machine Learning Antonio SpinaLead,Health and HealthcareFederico TortiInitiatives Lead,Advanced Manufactur

186、ing and Supply ChainsBart ValkhofHead,Information and Communication TechnologyIndustryBing XiaGovernment Engagement Lead,CRTG ChinaKarla Yee AmezagaLead,Data PolicyAccentureSerena Jing QiuAPAC Thought Leadership Lead,Greater China Lead,ResearchRebecca TanResearch ManagerAcknowledgementsThe authors t

187、hank the following working group members,who spent numerous hours providing critical input and feedback on the drafts of this report.Their diverse insights are fundamental to the success of this work.Jeff Jianfeng CaoSenior Research Fellow,Tencent Research Institute,Tencent Tzeh Chyi ChanFormer Mana

188、ging Director,Chief Data Scientist,Accenture Greater ChinaYuan ChengSenior Program Manager,Concordia AILiang FangSenior Governance Lead,Concordia AIXiaodong HeIEEE Fellow;Executive Director,JD AI Research and Head,JD Technology Artificial Intelligence BusinessKaizhu HuangDirector,Data Science Resear

189、ch Center,Duke Kunshan UniversityShuliang HuangDirector,Digital Transformation Department,Foshan Haitian Flavoring and Food Zhenhua LiExecutive Director,Ant Group Research InstituteDian LiuDirector,Strategic and Macroeconomic Research,Institute for AI International Governance,TsinghuaUniversityGang

190、LiuDirector,Institute of Economics,Nankai UniversityTao MaGeneral Manager;Chair,Group Metaverse Committee,COL GroupShi PiaoExecutive Director,Digital Economy and Green Innovation Research Center,Ant Group Research InstituteAndy Qiang WangDirector,Frontier Technology Research Center and Tencent Resea

191、rch Institute,Tencent CompaniesHaiqin XieGeneral Manager,COSMOPlat IOT Technology,COSMOPlat Digital Technology(Shanghai)Ya-Qin ZhangChair Professor and Dean,Tsinghua UniversityProductionLaurence DenmarkCreative Director,Studio MikoShey Hargreaves Editor,Studio MikoCharlotte IvanyDesigner,Studio Miko

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223、x:+41(0)22 786 2744contactweforum.orgwww.weforum.orgThe World Economic Forum,committed to improving the state of the world,is the International Organization for Public-Private Cooperation.The Forum engages the foremost political,business and other leaders of society to shape global,regional and industry agendas.