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<br>In the past decade, China has developed a solid structure to support its AI economy and made substantial contributions to [AI](https://git.cocorolife.tw) globally. Stanford University's AI Index, which evaluates [AI](https://www.muslimtube.com) improvements worldwide throughout various metrics in research study, development, and economy, ranks China among the top three nations for global AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the global [AI](https://jobs.ofblackpool.com) race?" Artificial Intelligence Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research study, for instance, China produced about one-third of both AI journal papers and AI citations worldwide in 2021. In financial financial investment, China represented nearly one-fifth of international personal financial investment financing in 2021, attracting $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 investment in AI by geographic area, 2013-21."<br> |
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<br>Five kinds of AI companies 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 develop end-to-end AI technology ability and collaborate within the ecosystem to serve both business-to-business and business-to-consumer companies. |
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Traditional market companies serve clients straight by developing and embracing [AI](https://asg-pluss.com) in internal improvement, new-product launch, and client services. |
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Vertical-specific AI business establish software and options for particular domain use cases. |
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AI core tech companies offer access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. |
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Hardware business supply the hardware infrastructure to support AI demand in computing power and storage. |
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Today, AI adoption is high in China in financing, [wiki.dulovic.tech](https://wiki.dulovic.tech/index.php/User:DeanaI100952526) retail, and high tech, which together account for more than one-third of the country's [AI](http://103.205.66.47:3000) market (see sidebar "5 types of AI business in China").3 iResearch, iResearch serial marketing research on China's [AI](http://103.197.204.163:3025) industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both family names in China, have become understood for their extremely tailored AI-driven customer apps. In reality, many of the [AI](http://clipang.com) applications that have been commonly adopted in China to date have remained in consumer-facing markets, propelled by the world's largest web customer base and the capability to engage with consumers in new ways to increase consumer loyalty, revenue, and market appraisals.<br> |
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<br>So what's next for [AI](http://www.zhihutech.com) in China?<br> |
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<br>About the research study<br> |
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<br>This research is based on field interviews with more than 50 specialists within McKinsey and across markets, together with extensive analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly between October and November 2021. In performing our analysis, we looked beyond commercial sectors, such as financing and retail, where there are currently fully grown AI use cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we concentrated on the domains where AI applications are currently in market-entry phases and could have a disproportionate impact by 2030. Applications in these sectors that either remain in the early-exploration stage or have mature industry adoption, such as manufacturing-operations optimization, were not the focus for the function of the study.<br> |
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<br>In the coming decade, our research indicates that there is significant opportunity for [AI](https://asicwiki.org) development in brand-new sectors in China, including some where innovation and R&D spending have traditionally lagged international equivalents: vehicle, transport, and logistics |
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