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<br>In the past years, China has built a strong structure to support its [AI](http://193.123.80.202:3000) economy and made considerable contributions to [AI](http://114.55.54.52:3000) internationally. Stanford University's AI Index, which assesses AI advancements worldwide across different metrics in research, development, and economy, ranks China amongst the top 3 countries for international AI vibrancy.1"Global [AI](https://bantooplay.com) Vibrancy Tool: Who's leading the international AI race?" Expert System Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research, for instance, China produced about one-third of both AI journal papers and AI citations worldwide in 2021. In economic investment, China represented almost one-fifth of worldwide personal investment financing in 2021, bring in $17 billion for AI start-ups.2 Daniel Zhang et al., Artificial Intelligence Index report 2022, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, March 2022, Figure 4.2.6, "Private financial investment in AI by geographic location, 2013-21."<br> |
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<br>Five kinds of AI business in China<br> |
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<br>In China, we find that AI business typically fall under among 5 main classifications:<br> |
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<br>Hyperscalers establish end-to-end [AI](https://smarthr.hk) technology ability and team up within the ecosystem to serve both business-to-business and business-to-consumer companies. |
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Traditional market business serve customers straight by developing and adopting AI in internal improvement, new-product launch, and client service. |
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Vertical-specific AI business develop software application and solutions for particular domain usage cases. |
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AI core tech service providers provide access to computer system vision, natural-language processing, voice recognition, and artificial intelligence abilities to establish AI systems. |
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Hardware companies supply the hardware infrastructure to support AI need in computing power and storage. |
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Today, AI adoption is high in China in finance, retail, and high tech, which together represent more than one-third of the nation's [AI](https://tv.360climatechange.com) market (see sidebar "5 types of [AI](https://www.lightchen.info) companies in China").3 iResearch, iResearch serial market research on China's [AI](http://home.rogersun.cn:3000) industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both household names in China, have become known for their extremely tailored AI-driven customer apps. In truth, the majority of the AI applications that have been commonly embraced in China to date have remained in consumer-facing markets, moved by the world's biggest internet customer base and the capability to engage with customers in brand-new methods to increase consumer loyalty, profits, and market appraisals.<br> |
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<br>So what's next for [AI](http://gitfrieds.nackenbox.xyz) in China?<br> |
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<br>About the research<br> |
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<br>This research study is based on field interviews with more than 50 professionals within McKinsey and throughout markets, together with comprehensive analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly in between October and November 2021. In performing our analysis, we looked beyond industrial sectors, such as finance and retail, where there are already mature AI use cases and clear adoption. In emerging sectors with the highest value-creation capacity, we focused on the domains where [AI](https://git.ffho.net) applications are presently in market-entry phases and could have a disproportionate effect by 2030. Applications in these sectors that either remain in the early-exploration stage or have mature market adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the study.<br> |
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<br>In the coming decade, our research indicates that there is tremendous opportunity for [AI](https://www.unotravel.co.kr) growth in new sectors in China, including some where innovation and R&D costs have generally lagged global equivalents: automobile, transport, and logistics |
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