From d7fefbd3ff8bf67244df5644a2de9afb00477281 Mon Sep 17 00:00:00 2001 From: Allen Runion Date: Wed, 28 May 2025 16:44:01 +0000 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..c5fcb8e --- /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 years, China has constructed a solid structure to support its [AI](https://staff-pro.org) economy and made significant contributions to AI internationally. Stanford University's AI Index, which evaluates AI developments worldwide across various metrics in research, development, and economy, ranks China among the top three nations for worldwide [AI](https://rhabits.io) vibrancy.1"Global [AI](http://101.34.87.71) Vibrancy Tool: Who's leading the international 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 economic investment, China accounted for nearly one-fifth of worldwide private investment financing in 2021, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:Monte35P2532) attracting $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://seconddialog.com) by geographical area, 2013-21."
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Five kinds of AI companies in China
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In China, we find that [AI](http://101.132.73.14:3000) business usually fall into one of 5 main classifications:
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Hyperscalers establish end-to-end AI technology capability and work together within the ecosystem to serve both business-to-business and business-to-consumer business. +Traditional industry business serve consumers straight by developing and embracing AI in internal change, new-product launch, and customer services. +Vertical-specific AI business develop software and options for particular domain usage cases. +AI core tech suppliers offer access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. +Hardware business provide the hardware facilities to support AI need in calculating power and storage. +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 types of AI companies in China").3 iResearch, iResearch serial market research study on China's AI market III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both household names in China, have actually become understood for their extremely tailored AI-driven consumer apps. In fact, the majority of the [AI](http://gitea.digiclib.cn:801) applications that have actually been extensively adopted in China to date have actually remained in consumer-facing markets, moved by the world's biggest internet customer base and the ability to engage with consumers in new ways to increase consumer loyalty, profits, and market appraisals.
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So what's next for [AI](http://hitq.segen.co.kr) 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 across markets, along with substantial analysis of McKinsey market assessments in Europe, the United States, Asia, and China particularly in between October and November 2021. In performing our analysis, we looked beyond industrial 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](http://nysca.net) 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 stage or have fully grown market adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the study.
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In the coming years, our research study suggests that there is incredible chance for AI growth in brand-new sectors in China, including some where development and R&D costs have typically lagged global counterparts: vehicle, transport, and logistics \ No newline at end of file