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In the previous decade, China has constructed a solid structure to support its [AI](http://slfood.co.kr) economy and made substantial contributions to AI internationally. Stanford University's AI Index, which examines AI developments worldwide across various metrics in research study, advancement, and economy, ranks China amongst the top 3 countries for global AI vibrancy.1"Global [AI](https://pattondemos.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 study, for example, China produced about one-third of both AI journal documents and AI citations worldwide in 2021. In financial financial investment, [pediascape.science](https://pediascape.science/wiki/User:GitaLemaster) China accounted for almost one-fifth of worldwide personal investment financing 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 investment in AI by geographic area, 2013-21."
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Five types of [AI](https://www.almanacar.com) companies in China
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In China, we find that [AI](https://knightcomputers.biz) business normally fall under one of five main categories:
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Hyperscalers establish end-to-end AI innovation ability and team up within the environment to serve both business-to-business and business-to-consumer business. +Traditional industry companies serve customers straight by establishing and embracing [AI](https://www.racingfans.com.au) in internal improvement, new-product launch, and customer support. +Vertical-specific [AI](https://git.ipmake.me) business develop software and solutions for particular domain use cases. +AI core tech providers offer access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to establish AI systems. +Hardware business provide the hardware facilities to support [AI](https://myclassictv.com) need in calculating power and storage. +Today, [AI](http://1.15.150.90:3000) adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the country's AI market (see sidebar "5 kinds of [AI](http://publicacoesacademicas.unicatolicaquixada.edu.br) companies in China").3 iResearch, iResearch serial market research on China's [AI](http://advance5.com.my) market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both family names in China, have become understood for their highly tailored [AI](https://myvip.at)-driven consumer apps. In reality, most of the [AI](https://foke.chat) applications that have actually been widely embraced in China to date have remained in consumer-facing markets, propelled by the world's largest web customer base and the ability to engage with customers in new methods to increase client commitment, revenue, and market appraisals.
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So what's next for AI in China?
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About the research study
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This research is based upon field interviews with more than 50 specialists within McKinsey and throughout markets, together with comprehensive analysis of McKinsey market assessments in Europe, the United States, Asia, and China specifically between October and November 2021. In performing our analysis, we looked outside of commercial sectors, such as finance and retail, where there are currently fully grown [AI](https://runningas.co.kr) use 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 could have a disproportionate effect 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 research study.
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In the coming years, our research shows that there is tremendous chance for AI development in brand-new sectors in China, consisting of some where development and R&D costs have traditionally lagged global equivalents: automobile, transport, and logistics \ No newline at end of file