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<br>In the previous decade, China has built a strong foundation to support its AI economy and made significant contributions to [AI](https://redsocial.cl) internationally. Stanford University's AI Index, which assesses [AI](https://asicwiki.org) improvements around the world across numerous metrics in research study, development, and economy, ranks China amongst the top three countries for international [AI](https://tnrecruit.com) vibrancy.1"Global [AI](https://ruraltv.co.za) Vibrancy Tool: Who's leading the worldwide [AI](https://thedatingpage.com) race?" Artificial Intelligence Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research, for example, China produced about one-third of both [AI](https://git.dadunode.com) journal documents and [AI](https://gajaphil.com) citations worldwide in 2021. In financial investment, China accounted for almost one-fifth of worldwide private financial investment funding in 2021, drawing 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 types of AI companies in China<br> |
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<br>In China, we find that AI business generally fall into one of five main categories:<br> |
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<br>Hyperscalers establish end-to-end [AI](http://101.200.33.64:3000) technology capability and work together within the environment to serve both business-to-business and business-to-consumer business. |
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Traditional market business serve customers straight by developing and adopting [AI](http://www.tuzh.top:3000) in internal change, new-product launch, and customer support. |
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Vertical-specific [AI](https://lonestartube.com) business establish software and services for specific domain usage cases. |
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AI core tech providers supply access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. |
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Hardware companies supply the hardware facilities to support AI demand in computing power and storage. |
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Today, [AI](http://98.27.190.224) adoption is high in China in finance, retail, and high tech, which together represent more than one-third of the nation's [AI](http://81.70.93.203:3000) market (see sidebar "5 kinds of AI business in China").3 iResearch, iResearch serial marketing research on [AI](https://git.ffho.net) market III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both home names in China, have actually ended up being understood for their highly tailored AI-driven consumer apps. In fact, many of the AI applications that have been commonly adopted in China to date have remained in consumer-facing markets, moved by the world's biggest web consumer base and the capability to engage with consumers in brand-new methods to increase consumer commitment, revenue, 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 study<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 extensive analysis of McKinsey market assessments in Europe, the United States, Asia, and China particularly between October and November 2021. In performing our analysis, we looked outside of commercial sectors, such as financing and retail, where there are already fully grown AI usage cases and clear adoption. In emerging sectors with the greatest value-creation potential, we concentrated on the domains where AI applications are currently in market-entry phases and could have an out of proportion 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 function of the research study.<br> |
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<br>In the coming years, our research study suggests that there is significant chance for [AI](http://47.92.159.28) development in new sectors in China, consisting of some where development and R&D costs have typically lagged global counterparts: vehicle, transportation, and logistics |
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