commit ead621d4a2b18c3878339e2a3a5a78d645e7a968 Author: rozellabonney Date: Thu Feb 27 12:20:19 2025 +0800 Add 'The next Frontier for aI in China could Add $600 billion to Its Economy' 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..6d2b02e --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the previous decade, China has built a solid foundation to support its AI economy and made considerable contributions to [AI](http://117.50.220.191:8418) globally. Stanford University's AI Index, which examines AI developments worldwide across numerous metrics in research, advancement, and economy, ranks China among the top three nations for international [AI](http://106.14.140.71:3000) vibrancy.1"Global [AI](http://shammahglobalplacements.com) Vibrancy Tool: Who's leading the global [AI](https://www.stormglobalanalytics.com) 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 journal documents and AI citations worldwide in 2021. In financial investment, China represented nearly one-fifth of global personal investment financing in 2021, 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://friendspo.com) by geographical location, 2013-21."
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Five kinds of AI business in China
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In China, we find that AI business typically fall into among 5 main classifications:
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Hyperscalers establish end-to-end [AI](https://cmegit.gotocme.com) innovation ability and collaborate within the ecosystem to serve both business-to-business and business-to-consumer companies. +Traditional industry companies serve clients straight by establishing and adopting [AI](http://121.36.27.6:3000) in internal change, new-product launch, and client services. +Vertical-specific AI business develop software application and solutions for particular domain use cases. +AI core tech providers provide access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to establish AI systems. +Hardware companies supply the hardware facilities to support [AI](https://jobflux.eu) need in calculating power and storage. +Today, [AI](http://shammahglobalplacements.com) 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 instance, leaders Alibaba and ByteDance, both household names in China, have actually ended up being understood for their highly tailored AI-driven customer apps. In reality, the majority of the [AI](https://nujob.ch) applications that have been widely embraced in China to date have actually remained in consumer-facing industries, propelled by the world's biggest web customer base and the ability to engage with customers in new ways to increase client loyalty, profits, 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 upon field interviews with more than 50 professionals within McKinsey and throughout markets, along with comprehensive 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 outside of industrial 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 potential, we concentrated on the domains where AI applications are presently in market-entry stages and might 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 decade, our research shows that there is tremendous chance for [AI](https://git.andert.me) growth in brand-new sectors in China, consisting of some where innovation and R&D costs have traditionally lagged global equivalents: vehicle, transport, and logistics \ No newline at end of file