From 1bedf6a2246032ad87b76428a54ad48d43c667c9 Mon Sep 17 00:00:00 2001 From: florianfreelin Date: Fri, 4 Apr 2025 07:16:20 +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..58a8dba --- /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 structure to support its AI economy and made considerable contributions to AI worldwide. Stanford University's AI Index, which examines AI advancements around the world across different metrics in research, development, and economy, ranks China among the top 3 countries for global [AI](http://kcinema.co.kr) vibrancy.1"Global AI Vibrancy Tool: Who's leading the global AI 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](https://gamingjobs360.com) journal documents and AI citations worldwide in 2021. In financial financial investment, China represented almost one-fifth of worldwide private 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 location, 2013-21."
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Five types of [AI](https://open-gitlab.going-link.com) business in China
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In China, we discover that AI business generally fall into one of 5 main categories:
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Hyperscalers establish end-to-end AI innovation ability and collaborate within the ecosystem to serve both business-to-business and business-to-consumer business. +Traditional market companies serve consumers straight by developing and embracing [AI](https://inamoro.com.br) in internal change, new-product launch, and consumer services. +Vertical-specific AI business establish software and solutions for specific domain use cases. +[AI](https://www.sociopost.co.uk) core tech providers offer access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence abilities to establish AI systems. +Hardware business offer the hardware infrastructure to support [AI](https://suprabullion.com) demand in computing power and storage. +Today, [AI](https://cphallconstlts.com) adoption is high in China in financing, retail, and high tech, which together account for more than one-third of the country's [AI](https://giftconnect.in) market (see sidebar "5 kinds of AI companies in China").3 iResearch, iResearch serial marketing research on China's AI market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both home names in China, have become understood for their extremely tailored [AI](https://bestwork.id)-driven customer apps. In truth, most of the AI applications that have actually been commonly embraced in China to date have actually remained in consumer-facing markets, moved by the world's biggest web customer base and the ability to engage with customers in brand-new ways to increase consumer loyalty, 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 is based upon field interviews with more than 50 experts within McKinsey and throughout markets, in addition to substantial analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly between October and November 2021. In performing our analysis, we looked outside of commercial sectors, such as financing and retail, where there are currently mature AI use cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we focused on the domains where [AI](http://git.lovestrong.top) applications are currently in market-entry stages and could have an out of proportion effect by 2030. Applications in these sectors that either remain in the early-exploration phase or have mature market adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the research study.
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In the coming decade, our research indicates that there is remarkable opportunity for AI growth in brand-new sectors in China, including some where development and R&D spending have actually typically lagged global equivalents: vehicle, transport, and logistics \ No newline at end of file