commit 41a938288741f7cf760958321353b102aa650c12 Author: hanswakehurst1 Date: Fri Feb 28 19:27:56 2025 +0000 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..6180002 --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the previous decade, China has actually constructed a strong foundation to support its [AI](http://git.jishutao.com) economy and made considerable contributions to AI worldwide. Stanford University's AI Index, which assesses AI developments worldwide throughout various metrics in research, development, and economy, ranks China among the leading three nations for global [AI](https://karis.id) vibrancy.1"Global AI Vibrancy Tool: Who's leading the worldwide [AI](https://andonovproltd.com) race?" Expert System 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](http://git.mutouyun.com:3005) journal documents and [AI](http://123.207.52.103:3000) citations worldwide in 2021. In economic financial investment, China represented nearly one-fifth of worldwide personal financing in 2021, attracting $17 billion for [AI](http://git.morpheu5.net) 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://catvcommunity.com.tr) 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 generally fall into among 5 main classifications:
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Hyperscalers develop end-to-end [AI](http://copyvance.com) innovation ability and team up within the community to serve both business-to-business and business-to-consumer business. +Traditional industry companies serve clients straight by establishing and embracing AI in internal transformation, new-product launch, and consumer services. +Vertical-specific [AI](https://gitlab.dndg.it) business establish software and solutions for particular domain use cases. +AI core tech suppliers supply access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. +Hardware business supply the hardware infrastructure to support AI need in calculating power and storage. +Today, [AI](http://170.187.182.121:3000) adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the nation's [AI](https://21fun.app) market (see sidebar "5 kinds of AI companies in China").3 iResearch, iResearch serial market research on China's [AI](https://heyplacego.com) industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both family names in China, have ended up being understood for their highly tailored AI-driven consumer apps. In reality, the majority of the [AI](https://tube.zonaindonesia.com) applications that have actually been extensively embraced in China to date have remained in consumer-facing markets, moved by the world's biggest web customer base and the capability to engage with consumers in new methods to increase consumer loyalty, income, and market appraisals.
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So what's next for [AI](https://gitoa.ru) 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 industries, together with substantial analysis of McKinsey market assessments in Europe, the United States, Asia, and China specifically in between October and November 2021. In performing our analysis, we looked beyond business sectors, such as financing 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 an out of proportion effect by 2030. Applications in these sectors that either remain in the early-exploration stage or have mature industry 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 shows that there is remarkable chance for [AI](https://home.zhupei.me:3000) growth in new sectors in China, including some where innovation and R&D costs have generally lagged global counterparts: automotive, transportation, and logistics \ No newline at end of file