commit 741aa080cc70fb52f58287ae4c4b0153014062da Author: ericqjp229404 Date: Thu Feb 20 03:03:58 2025 +0800 Add 'The next Frontier for aI in China might Add $600 billion to Its Economy' diff --git a/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md b/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md new file mode 100644 index 0000000..125dd07 --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the past decade, China has actually constructed a solid foundation to support its [AI](https://git.mxr612.top) economy and made substantial contributions to [AI](http://139.9.50.163:3000) worldwide. Stanford University's [AI](https://seekinternship.ng) Index, which assesses [AI](http://60.205.104.179:3000) improvements around the world throughout different metrics in research study, advancement, and economy, ranks China among the leading 3 nations for international [AI](https://gitlab.grupolambda.info.bo) vibrancy.1"Global AI Vibrancy Tool: Who's leading the worldwide 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](https://autogenie.co.uk) journal papers and AI citations worldwide in 2021. In financial financial investment, China represented almost one-fifth of global personal financial 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 financial investment in [AI](https://git.connectplus.jp) by geographical location, 2013-21."
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Five kinds of AI companies in China
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In China, we discover that AI business generally fall into one of five main classifications:
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Hyperscalers develop end-to-end [AI](https://git.pawott.de) innovation ability and collaborate within the community to serve both business-to-business and business-to-consumer companies. +Traditional industry companies serve clients straight by developing and adopting AI in internal change, new-product launch, and customer care. +Vertical-specific AI business establish software and solutions for particular domain use cases. +AI core tech service providers offer access to computer system vision, natural-language processing, voice recognition, and artificial intelligence capabilities to establish [AI](http://129.211.184.184:8090) systems. +Hardware business offer the hardware facilities to support AI need in calculating power and storage. +Today, [AI](https://pantalassicoembalagens.com.br) adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the nation's AI market (see sidebar "5 kinds of AI companies in China").3 iResearch, iResearch serial marketing research on China's AI industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both family names in China, have actually become known for their extremely tailored [AI](http://118.190.145.217:3000)-driven consumer apps. In reality, most of the AI applications that have actually been commonly adopted in China to date have actually remained in consumer-facing markets, propelled by the world's largest web consumer base and the ability to engage with customers in brand-new ways to increase consumer loyalty, profits, and market appraisals.
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So what's next for [AI](http://lty.co.kr) 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 professionals within McKinsey and across industries, in addition to substantial analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly in between October and November 2021. In performing our analysis, we looked beyond commercial sectors, such as financing and retail, where there are already mature [AI](https://www.mudlog.net) usage cases and clear adoption. In emerging sectors with the greatest value-creation potential, we focused on the domains where [AI](https://www.longisland.com) 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 mature industry adoption, such as manufacturing-operations optimization, were not the focus for the function of the study.
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In the coming decade, our research shows that there is remarkable opportunity for AI development in brand-new sectors in China, consisting of some where innovation and R&D costs have actually typically lagged global counterparts: vehicle, transport, and logistics \ No newline at end of file