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 <br>In the past years, China has constructed a strong foundation to support its AI economy and made significant contributions to [AI](http://lifethelife.com) internationally. Stanford University's [AI](http://116.204.119.171:3000) Index, which evaluates [AI](http://gsrl.uk) advancements around the world across different metrics in research, advancement, and economy, ranks China amongst the top three countries for worldwide AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the global AI 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 documents and AI citations worldwide in 2021. In financial financial investment, China accounted for almost one-fifth of worldwide private financial 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](https://medea.medianet.cs.kent.edu) by geographic area, 2013-21."<br>
 <br>Five types of AI business in China<br>
 <br>In China, we find that AI business generally fall under one of 5 main categories:<br>
 <br>Hyperscalers establish end-to-end AI technology capability and team up within the community to serve both business-to-business and business-to-consumer companies.
 Traditional market companies serve consumers straight by establishing and adopting AI in internal change, new-product launch, and customer care.
 Vertical-specific AI business develop software and solutions for specific domain usage cases.
 [AI](http://www.jedge.top:3000) core tech providers offer access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems.
 Hardware business offer the hardware facilities to support AI demand in calculating power and storage.
 Today, AI adoption is high in China in financing, retail, and high tech,  [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11880731) which together represent more than one-third of the country's AI market (see sidebar "5 kinds of AI 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 home names in China, have become understood for their extremely tailored AI-driven customer apps. In fact, many of the [AI](http://106.52.134.22:3000) applications that have been widely adopted in China to date have remained in consumer-facing markets, moved by the world's biggest internet consumer base and the capability to engage with consumers in brand-new ways to increase customer commitment, income, and market appraisals.<br>
 <br>So what's next for [AI](https://stepaheadsupport.co.uk) in China?<br>
 <br>About the research<br>
 <br>This research is based on field interviews with more than 50 experts within McKinsey and throughout markets, along with extensive analysis of McKinsey market evaluations 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 currently 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 stages and might have an out of proportion impact by 2030. Applications in these sectors that either remain in the early-exploration stage or have fully grown market adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the study.<br>
 <br>In the coming years, our research study indicates that there is significant chance for [AI](http://csserver.tanyu.mobi:19002) growth in new sectors in China, consisting of some where innovation and R&D costs have typically lagged international equivalents: automobile, transport, and logistics