From ffdbcc73810f2e3a77ea358202abd57a2f4f172c Mon Sep 17 00:00:00 2001 From: samuel92724192 Date: Thu, 10 Apr 2025 23:31:54 +0800 Subject: [PATCH] Add 'The next Frontier for aI in China might Add $600 billion to Its Economy' --- ...China-might-Add-%24600-billion-to-Its-Economy.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md 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..3c76380 --- /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 developed a solid structure to support its AI economy and made substantial contributions to [AI](https://167.172.148.93:4433) worldwide. Stanford University's [AI](https://chutpatti.com) Index, which examines AI improvements worldwide throughout various metrics in research study, development, and economy, ranks China among the top three nations for international AI vibrancy.1"Global [AI](https://wiki.solsombra-abdl.com) Vibrancy Tool: Who's leading the global [AI](http://secdc.org.cn) race?" Artificial Intelligence 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://diskret-mote-nodeland.jimmyb.nl) journal documents and AI citations worldwide in 2021. In economic financial investment, China accounted for almost one-fifth of worldwide personal 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 by geographic area, 2013-21."
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Five types of [AI](https://datemyfamily.tv) companies in China
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In China, we discover that AI companies typically fall into one of 5 main classifications:
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Hyperscalers develop end-to-end [AI](https://www.flytteogfragttilbud.dk) technology capability and team up within the environment to serve both business-to-business and business-to-consumer companies. +Traditional industry business serve consumers straight by establishing and adopting AI in internal transformation, new-product launch, and customer care. +Vertical-specific AI companies establish software application and services for particular domain use cases. +AI core tech suppliers offer access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence abilities to establish AI systems. +Hardware business offer the hardware facilities to support AI need in calculating power and storage. +Today, [AI](https://www.jooner.com) adoption is high in China in financing, retail, and high tech, which together account for more than one-third of the nation's [AI](https://mypetdoll.co.kr) market (see sidebar "5 kinds of [AI](http://106.52.121.97:6088) business in China").3 iResearch, iResearch serial market research on China's AI market III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both family names in China, have actually become understood for their highly tailored AI-driven consumer apps. In fact, the majority of the [AI](https://degroeneuitzender.nl) applications that have actually been widely adopted in China to date have actually remained in consumer-facing markets, moved by the world's largest internet consumer base and the capability to engage with consumers in new methods to increase customer loyalty, income, and market appraisals.
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So what's next for AI in China?
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About the research
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This research study is based upon field interviews with more than 50 experts within McKinsey and throughout markets, along with substantial 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 industrial 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 capacity, we concentrated on the domains where AI applications are presently in market-entry stages and could have a disproportionate 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 function of the research study.
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In the coming decade, our research shows that there is significant chance for AI development in new sectors in China, including some where development and R&D costs have typically lagged global counterparts: automobile, transport, and logistics \ No newline at end of file