commit de957ed8182d67a02491b5ec7c274c91923622c3 Author: felicitasparen Date: Fri Feb 28 04:11:31 2025 +0100 Add 'The next Frontier for aI in China might Add $600 billion to Its Economy' 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..f2ec87d --- /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 developed a strong foundation to support its AI economy and made substantial contributions to [AI](https://vagas.grupooportunityrh.com.br) internationally. Stanford University's AI Index, which assesses [AI](http://rernd.com) improvements around the world across numerous metrics in research, development, and economy, ranks China amongst the leading three countries for worldwide [AI](https://gitlab.dndg.it) vibrancy.1"Global AI Vibrancy Tool: Who's leading the global [AI](http://51.222.156.250:3000) race?" Expert System 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](https://gitlab.profi.travel) journal documents and [AI](https://www.teamswedenclub.com) citations worldwide in 2021. In financial investment, China accounted for almost one-fifth of worldwide personal financial investment financing in 2021, drawing in $17 billion for [AI](https://www.lokfuehrer-jobs.de) 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 geographic location, 2013-21."
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Five kinds of AI companies in China
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In China, we find that AI companies normally fall into among 5 main categories:
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Hyperscalers develop end-to-end AI technology capability and collaborate within the ecosystem to serve both business-to-business and business-to-consumer business. +Traditional industry companies serve clients straight by developing and adopting [AI](https://tube.zonaindonesia.com) in internal improvement, new-product launch, and customer support. +Vertical-specific AI companies develop software application and services for specific domain usage cases. +AI core tech companies offer access to computer vision, natural-language processing, voice recognition, and artificial intelligence abilities to establish AI systems. +Hardware companies provide the hardware infrastructure 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 nation's [AI](https://git.nosharpdistinction.com) market (see sidebar "5 types of AI companies in China").3 iResearch, iResearch serial market research on China's AI market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both family names in China, [higgledy-piggledy.xyz](https://higgledy-piggledy.xyz/index.php/User:KarolynShanahan) have actually become understood for their highly tailored AI-driven customer apps. In reality, the majority of the AI applications that have actually been commonly adopted in China to date have actually remained in consumer-facing industries, propelled by the world's biggest internet customer base and the capability to engage with consumers in new methods to increase consumer commitment, profits, 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 professionals within McKinsey and throughout markets, together 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 commercial sectors, such as finance and retail, where there are already fully grown [AI](http://www.thegrainfather.com.au) use cases and clear adoption. In emerging sectors with the highest value-creation capacity, we concentrated on the domains where AI applications are presently in market-entry stages and might have a disproportionate 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 function of the study.
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In the coming decade, our research indicates that there is tremendous opportunity for AI growth in brand-new sectors in China, including some where development and R&D spending have actually traditionally lagged global counterparts: automobile, transport, and logistics \ No newline at end of file