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<br>In the previous decade, China has constructed a strong foundation to support its AI economy and made significant contributions to AI internationally. Stanford University's [AI](https://peoplesmedia.co) Index, which evaluates [AI](http://118.195.226.124:9000) advancements worldwide across various metrics in research, development, and economy, ranks China among the leading three countries for worldwide [AI](https://www.unotravel.co.kr) vibrancy.1"Global [AI](https://okk-shop.com) Vibrancy Tool: Who's leading the worldwide AI 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 journal documents and AI citations worldwide in 2021. In financial investment, China represented nearly one-fifth of global personal investment funding in 2021, bring in $17 billion for [AI](https://tricityfriends.com) start-ups.2 Daniel Zhang et al., Artificial Intelligence Index report 2022, Stanford Institute for Human-Centered Artificial Intelligence (HAI), University, March 2022, Figure 4.2.6, "Private investment in AI by geographical location, 2013-21."<br> |
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<br>Five types of [AI](https://intermilanfansclub.com) business in China<br> |
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<br>In China, we discover that AI business typically fall into one of 5 main categories:<br> |
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<br>Hyperscalers develop end-to-end AI technology capability and work together within the ecosystem to serve both business-to-business and business-to-consumer companies. |
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Traditional industry companies serve consumers straight by developing and adopting AI in internal change, new-product launch, and customer support. |
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Vertical-specific AI business develop software application and solutions for specific domain usage cases. |
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[AI](https://git.poloniumv.net) core tech service providers offer access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. |
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Hardware companies offer the hardware infrastructure to support AI need in calculating power and storage. |
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Today, AI adoption is high in China in financing, retail, and high tech, which together account for more than one-third of the country's AI market (see sidebar "5 kinds of [AI](https://social.mirrororg.com) companies in China").3 iResearch, iResearch serial market research on China's AI industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both household names in China, have actually ended up being known for their extremely tailored AI-driven customer apps. In fact, most of the AI applications that have actually been extensively embraced in China to date have actually remained in consumer-facing industries, propelled by the world's biggest internet consumer base and the ability to engage with customers in new methods to increase customer commitment, profits, and market appraisals.<br> |
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<br>So what's next for [AI](https://vidhiveapp.com) in China?<br> |
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<br>About the research study<br> |
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<br>This research is based upon field interviews with more than 50 specialists within McKinsey and across industries, in addition to substantial 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](http://povoq.moe:1145) usage cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we concentrated on the domains where AI 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 phase 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 years, our research suggests that there is remarkable chance for [AI](https://friendify.sbs) development in brand-new sectors in China, including some where innovation and R&D costs have actually generally lagged international equivalents: automotive, transportation, and logistics |