From bf7a8b013abbc1ce989e91c39939bcb6f05420d7 Mon Sep 17 00:00:00 2001 From: Anne Paulson Date: Thu, 6 Mar 2025 04:24:20 +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..689b6ca --- /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 foundation to support its AI economy and made substantial contributions to AI internationally. Stanford University's AI Index, which evaluates AI advancements around the world throughout numerous metrics in research study, advancement, and economy, ranks China amongst the top three nations for international [AI](https://laborando.com.mx) vibrancy.1"Global [AI](https://test1.tlogsir.com) Vibrancy Tool: Who's leading the international [AI](http://park1.wakwak.com) 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 papers and AI citations worldwide in 2021. In economic financial investment, China accounted for nearly one-fifth of worldwide private financial investment funding 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 by geographical area, 2013-21."
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Five types of AI companies in China
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In China, we find that [AI](http://118.31.167.228:13000) business typically fall under one of five main categories:
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Hyperscalers establish end-to-end AI technology ability and collaborate within the ecosystem to serve both business-to-business and business-to-consumer companies. +Traditional market business serve consumers straight by developing and adopting [AI](https://githost.geometrx.com) in internal improvement, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2672496) new-product launch, and customer care. +Vertical-specific AI business establish software application and solutions for particular domain usage cases. +AI core tech service providers offer access to computer vision, natural-language processing, voice recognition, and artificial intelligence abilities to establish [AI](https://gitr.pro) systems. +Hardware companies offer the hardware infrastructure to support AI need in calculating power and storage. +Today, [AI](https://agora-antikes.gr) 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 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 known for their extremely tailored AI-driven customer apps. In reality, the majority of the [AI](http://mirae.jdtsolution.kr) applications that have actually been widely embraced in China to date have remained in consumer-facing industries, propelled by the world's biggest web consumer base and the ability to engage with customers in new methods to increase customer commitment, revenue, and market appraisals.
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So what's next for [AI](https://giaovienvietnam.vn) in China?
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About the research study
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This research is based on field interviews with more than 50 professionals within McKinsey and throughout markets, in addition to comprehensive analysis of McKinsey market evaluations 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 usage cases and clear adoption. In emerging sectors with the highest value-creation capacity, we focused on the domains where AI applications are presently in market-entry phases and could have an out of proportion impact by 2030. Applications in these sectors that either remain in the early-exploration stage or have mature market 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 shows that there is significant chance for AI development in brand-new sectors in China, consisting of some where development and R&D costs have actually generally lagged international counterparts: vehicle, transportation, and logistics \ No newline at end of file