From f7d9d83040f561f70b8aaef7735ef7b3a90dfe2d Mon Sep 17 00:00:00 2001 From: georgiannasaue Date: Sun, 9 Feb 2025 12:27:21 +0100 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..121d636 --- /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](https://223.130.175.147:6501) economy and made substantial contributions to AI globally. Stanford University's AI Index, which evaluates [AI](https://kryza.network) developments around the world across numerous metrics in research study, advancement, and economy, ranks China among the leading 3 countries for international [AI](http://git.ai-robotics.cn) vibrancy.1"Global AI Vibrancy Tool: Who's leading the international [AI](https://uptoscreen.com) race?" Artificial Intelligence Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research, for example, China produced about one-third of both AI journal documents and [AI](https://careers.ecocashholdings.co.zw) citations worldwide in 2021. In economic financial investment, China represented almost one-fifth of international personal investment funding in 2021, drawing in $17 billion for [AI](https://gl.vlabs.knu.ua) start-ups.2 Daniel Zhang et al., [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11857434) 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 geographic location, 2013-21."
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Five kinds of AI companies in China
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In China, we discover that AI business typically fall into among five main classifications:
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Hyperscalers establish end-to-end AI technology capability and work together within the community to serve both business-to-business and business-to-consumer companies. +Traditional market companies serve consumers straight by establishing and embracing AI in internal change, new-product launch, and customer support. +Vertical-specific AI companies develop software and options for specific domain use cases. +AI core tech suppliers supply access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to establish AI systems. +Hardware companies provide the hardware infrastructure to support AI need in computing power and storage. +Today, [AI](https://77.248.49.22:3000) adoption is high in China in finance, retail, and high tech, which together represent more than one-third of the nation's AI market (see sidebar "5 kinds of [AI](http://www.lucaiori.it) business 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 home names in China, have become known for their extremely tailored [AI](https://octomo.co.uk)-driven consumer apps. In fact, most of the [AI](https://hgarcia.es) applications that have actually been extensively embraced in China to date have actually remained in consumer-facing industries, moved by the world's biggest web customer base and the ability to engage with consumers in new ways to increase client commitment, earnings, and market appraisals.
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So what's next for [AI](https://www.ojohome.listatto.ca) 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 specialists within McKinsey and throughout markets, in addition to extensive analysis of McKinsey market evaluations in Europe, the United States, Asia, and China specifically between October and November 2021. In performing our analysis, we looked beyond business sectors, such as finance and retail, where there are currently 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 presently in market-entry phases and might have an out of proportion impact 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 function of the study.
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In the coming years, our research indicates that there is significant chance for AI growth in brand-new sectors in China, consisting of some where innovation and R&D spending have typically lagged international equivalents: vehicle, transportation, and logistics \ No newline at end of file