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<br>In the past decade, China has built a solid foundation to support its AI economy and made considerable contributions to AI worldwide. Stanford University's [AI](https://git.jzmoon.com) Index, which examines AI advancements around the world throughout various metrics in research, advancement, and economy, ranks China amongst the leading three countries for worldwide AI vibrancy.1"Global [AI](https://napvibe.com) Vibrancy Tool: Who's leading the global 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 financial investment, China represented nearly one-fifth of global private investment funding in 2021, drawing in $17 billion for [AI](https://bihiring.com) 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 normally fall under one of five main classifications:<br> |
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<br>Hyperscalers develop end-to-end [AI](https://gitea.fcliu.net) technology capability and team up within the ecosystem to serve both business-to-business and business-to-consumer business. |
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Traditional market business serve consumers straight by establishing and adopting [AI](http://124.129.32.66:3000) in internal change, new-product launch, and client service. |
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Vertical-specific AI companies establish software and solutions for specific domain usage cases. |
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AI core tech providers provide access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to establish AI systems. |
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Hardware business offer the hardware infrastructure to support AI demand in calculating power and storage. |
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Today, [AI](https://esunsolar.in) adoption is high in China in finance, retail, and high tech, which together represent more than one-third of the nation's [AI](https://careerportals.co.za) market (see sidebar "5 kinds of AI business in China").3 iResearch, iResearch serial market research study on China's AI 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 reality, most of the [AI](https://gitea.sync-web.jp) applications that have been extensively adopted in China to date have remained in consumer-facing markets, propelled by the world's largest internet customer base and the ability to engage with consumers in new methods to increase client commitment, earnings, and market appraisals.<br> |
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<br>So what's next for AI in China?<br> |
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<br>About the research<br> |
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<br>This research is based upon field interviews with more than 50 professionals within McKinsey and across markets, together with comprehensive analysis of McKinsey market assessments in Europe, the United States, Asia, and China specifically in between October and November 2021. In performing our analysis, we looked beyond commercial sectors, such as finance and retail, where there are already fully grown [AI](http://gitlab.kci-global.com.tw) use cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we concentrated on the domains where [AI](https://eastcoastaudios.in) applications are currently in market-entry phases and could have a disproportionate effect by 2030. Applications in these sectors that either remain in the early-exploration phase or have fully grown market adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the research study.<br> |
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<br>In the coming years, our research study indicates that there is incredible opportunity for [AI](http://8.136.199.33:3000) growth in new sectors in China, including some where development and R&D spending have typically lagged worldwide equivalents: automotive, transport, and logistics |
