From 907acb120ba7e9f64ddc3984a4fd042e4c49de3f Mon Sep 17 00:00:00 2001 From: vidavandiver1 Date: Thu, 6 Feb 2025 15:03:40 +0000 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..346ac3b --- /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 years, China has actually built a solid structure to support its AI economy and made significant contributions to AI internationally. Stanford University's AI Index, which assesses AI advancements worldwide across numerous metrics in research study, development, and economy, ranks China among the leading three nations for global AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the international [AI](https://138.197.71.160) race?" Artificial Intelligence 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](http://43.139.10.64:3000) journal documents and AI citations worldwide in 2021. In economic investment, China accounted for almost one-fifth of international private financial 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 geographic location, 2013-21."
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Five kinds of AI business in China
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In China, we discover that [AI](https://gitea.sprint-pay.com) business typically fall under one of five main classifications:
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Hyperscalers establish end-to-end [AI](https://4realrecords.com) innovation ability and team up within the ecosystem to serve both business-to-business and business-to-consumer business. +Traditional market companies serve customers straight by establishing and embracing [AI](https://git.kuyuntech.com) in internal transformation, new-product launch, and client services. +Vertical-specific [AI](http://39.105.203.187:3000) business develop software application and solutions for specific domain use cases. +AI core tech service providers offer access to computer system vision, natural-language processing, voice recognition, and artificial intelligence capabilities to establish AI systems. +Hardware companies supply the hardware facilities to support AI demand in calculating power and storage. +Today, AI 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://matchpet.es) market (see sidebar "5 kinds of AI business in China").3 iResearch, iResearch serial market research on China's AI industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both family names in China, have actually ended up being understood for their highly tailored [AI](https://napolifansclub.com)-driven customer apps. In truth, the majority of the AI applications that have been extensively adopted in China to date have remained in consumer-facing industries, propelled by the world's largest web consumer base and the capability to engage with consumers in brand-new ways to increase consumer commitment, profits, and market appraisals.
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So what's next for [AI](http://47.120.57.226:3000) 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 across markets, along with comprehensive 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 outside of industrial 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](https://www.ayurjobs.net) applications are currently 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 suggests that there is incredible opportunity for [AI](https://cosplaybook.de) growth in brand-new sectors in China, consisting of some where development and R&D costs have generally lagged global equivalents: automobile, transport, and logistics \ No newline at end of file