From d9407b8159f11eddfff5a26def3280633c7bf9b0 Mon Sep 17 00:00:00 2001 From: jeannastead306 Date: Fri, 21 Feb 2025 05:11:35 +0800 Subject: [PATCH] Add 'The next Frontier for aI in China could Add $600 billion to Its Economy' --- ...China-could-Add-%24600-billion-to-Its-Economy.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md diff --git a/The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md b/The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md new file mode 100644 index 0000000..599033f --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the past years, China has constructed a strong foundation to support its AI economy and made substantial contributions to AI worldwide. Stanford University's AI Index, which assesses AI developments around the world across different metrics in research, advancement, and economy, ranks China among the leading three countries for worldwide AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the global [AI](https://codes.tools.asitavsen.com) race?" Artificial Intelligence Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research, for example, China produced about one-third of both AI journal papers and AI citations worldwide in 2021. In financial investment, China represented nearly one-fifth of international 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 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 under one of 5 main categories:
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Hyperscalers establish end-to-end AI innovation ability and team up within the ecosystem to serve both business-to-business and business-to-consumer business. +Traditional market companies serve consumers straight by establishing and embracing AI in internal change, new-product launch, and customer support. +Vertical-specific AI business establish software and solutions for particular domain use cases. +AI core tech suppliers provide access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. +Hardware business provide the hardware facilities to support [AI](https://gitlab.henrik.ninja) demand in computing power and storage. +Today, AI 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://destruct82.direct.quickconnect.to:3000) 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 household names in China, have actually become understood for their highly tailored AI-driven customer apps. In truth, the majority of the [AI](http://gitlab.qu-in.com) applications that have actually been commonly adopted in China to date have actually remained in consumer-facing industries, moved by the world's largest web customer base and the ability to engage with customers in brand-new methods to increase customer commitment, income, 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 study is based on field interviews with more than 50 professionals within McKinsey and throughout industries, together with substantial 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 industrial sectors, such as financing and retail, where there are currently mature AI usage cases and clear adoption. In emerging sectors with the greatest value-creation potential, we focused on the domains where AI applications are presently in market-entry stages and could have an out of proportion impact by 2030. Applications in these sectors that either remain in the early-exploration stage or have fully grown industry adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the study.
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In the coming decade, our research study indicates that there is remarkable chance for AI development in brand-new sectors in China, including some where innovation and R&D spending have typically lagged international equivalents: automotive, transport, and logistics \ No newline at end of file