commit e359965a4130ddb5a612221ea9642293d62ee654 Author: aracelykeiser Date: Mon Feb 17 08:47:44 2025 +0100 Add 'The next Frontier for aI in China could Add $600 billion to Its Economy' 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..9d1bf9e --- /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 decade, China has actually constructed a strong foundation to support its AI economy and made significant contributions to AI internationally. Stanford University's [AI](http://kanghexin.work:3000) Index, which examines [AI](https://gitlab.liangzhicn.com) improvements worldwide throughout various metrics in research, advancement, and economy, ranks China amongst the leading 3 nations for worldwide AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the global AI race?" Artificial Intelligence Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), [wiki.snooze-hotelsoftware.de](https://wiki.snooze-hotelsoftware.de/index.php?title=Benutzer:Mittie72K990) Stanford University, 2021 ranking. On research, for instance, China produced about one-third of both AI journal documents and AI citations worldwide in 2021. In economic investment, China represented nearly one-fifth of global private financial investment financing in 2021, drawing in $17 billion for [AI](http://jobteck.com) 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://biiut.com) business in China
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In China, we discover that AI business normally fall under one of 5 main classifications:
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Hyperscalers develop end-to-end AI innovation ability and collaborate within the community to serve both business-to-business and business-to-consumer business. +Traditional industry business serve customers straight by developing and adopting AI in internal transformation, new-product launch, and customer support. +Vertical-specific AI companies establish software and services for specific domain usage cases. +AI core tech providers offer access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. +Hardware business supply the hardware infrastructure to support [AI](https://www.remotejobz.de) 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 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 family names in China, have become understood for their highly tailored [AI](https://goalsshow.com)-driven consumer apps. In reality, most of the [AI](http://git.lovestrong.top) applications that have been commonly adopted in China to date have actually remained in consumer-facing markets, propelled by the world's biggest web customer base and the capability to engage with consumers in brand-new methods to increase consumer commitment, 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 study is based upon field interviews with more than 50 professionals within McKinsey and throughout industries, in addition to comprehensive analysis of McKinsey market assessments in Europe, the United States, Asia, and China specifically between October and November 2021. In performing our analysis, we looked outside of commercial sectors, such as finance and retail, where there are already mature AI usage cases and clear adoption. In emerging sectors with the highest value-creation potential, we focused on the domains where AI applications are presently in market-entry phases and could have a disproportionate impact by 2030. Applications in these sectors that either remain in the early-exploration phase or have mature industry adoption, such as manufacturing-operations optimization, were not the focus for the function of the research study.
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In the coming years, our research study suggests that there is significant chance for AI development in brand-new sectors in China, including some where development and R&D spending have actually generally lagged international counterparts: automobile, transport, and logistics \ No newline at end of file