From 247e3632b652769a11d1faf1387cf54a08ab77ae Mon Sep 17 00:00:00 2001 From: napoleonmonaha Date: Sun, 1 Jun 2025 03:59:22 +0800 Subject: [PATCH] Add 'The next Frontier for aI in China could Add $600 billion to Its Economy' --- ...China-could-Add-%24600-billion-to-Its-Economy.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md 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..ffac17b --- /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 years, China has developed a solid foundation to support its AI economy and made significant contributions to [AI](https://www.netrecruit.al) globally. Stanford University's AI Index, which examines AI developments worldwide across different metrics in research study, development, and economy, ranks China amongst the top three nations for worldwide AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the global [AI](https://www.virfans.com) 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 journal papers and AI citations worldwide in 2021. In economic financial investment, China represented nearly one-fifth of global personal financial investment funding in 2021, drawing in $17 billion for [AI](https://git.cnpmf.embrapa.br) 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 geographical location, 2013-21."
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Five types of AI business in China
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In China, we find that [AI](https://losangelesgalaxyfansclub.com) business normally fall under among 5 main categories:
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Hyperscalers develop end-to-end [AI](http://bedfordfalls.live) technology capability and work together within the community to serve both business-to-business and business-to-consumer business. +Traditional industry business serve consumers straight by developing and adopting AI in internal improvement, new-product launch, and client services. +Vertical-specific [AI](http://106.14.174.241:3000) business develop software application and solutions for particular domain use cases. +AI core tech companies offer access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence abilities to establish [AI](https://library.kemu.ac.ke) systems. +Hardware business supply the hardware facilities to support AI demand in computing 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 country's AI market (see sidebar "5 kinds of AI companies in China").3 iResearch, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:LawerenceJeanner) iResearch serial marketing research on China's [AI](http://8.140.50.127:3000) market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both home names in China, have ended up being known for their extremely tailored [AI](http://forum.moto-fan.pl)-driven customer apps. In reality, many of the AI applications that have actually been extensively embraced in China to date have remained in consumer-facing markets, propelled by the world's biggest internet consumer base and the capability to engage with consumers in new ways to increase customer loyalty, earnings, and market appraisals.
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So what's next for [AI](http://autogangnam.dothome.co.kr) in China?
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About the research study
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This research study is based on field interviews with more than 50 specialists within McKinsey and across 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 beyond commercial sectors, such as financing and retail, where there are already mature AI usage cases and clear adoption. In emerging sectors with the greatest value-creation potential, we focused on the domains where AI applications are currently in market-entry stages and could have an out of proportion 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 purpose of the study.
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In the coming decade, our research study shows that there is incredible chance for AI growth in brand-new sectors in China, consisting of some where innovation and R&D costs have traditionally lagged global equivalents: automotive, transportation, and logistics \ No newline at end of file