From 3cd6b85ba0dee12bc8da0f07f95881cfdfd73af0 Mon Sep 17 00:00:00 2001 From: Angela Hanton Date: Fri, 21 Feb 2025 12:52:34 +0000 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..c15427f --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the past decade, China has actually developed a strong foundation to support its [AI](https://rhcstaffing.com) economy and made considerable contributions to [AI](https://social.engagepure.com) globally. Stanford University's [AI](https://www.ukdemolitionjobs.co.uk) Index, which examines AI advancements worldwide across various metrics in research, advancement, and economy, ranks China among the top 3 countries for global AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the global AI 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 documents and AI citations worldwide in 2021. In economic financial investment, China accounted for almost one-fifth of international private investment financing in 2021, attracting $17 billion for [AI](https://equipifieds.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 companies in China
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In China, we find that [AI](https://thewerffreport.com) companies generally fall into among 5 main categories:
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Hyperscalers establish end-to-end AI technology ability and team up within the community to serve both business-to-business and business-to-consumer companies. +Traditional industry companies serve clients straight by developing and embracing AI in internal improvement, new-product launch, and customer care. +Vertical-specific AI business establish software and options for particular domain use cases. +[AI](https://ddsbyowner.com) core tech providers provide access to computer vision, natural-language processing, voice recognition, and artificial intelligence abilities to establish [AI](http://www.umzumz.com) systems. +Hardware business 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 market (see sidebar "5 types of [AI](https://kiaoragastronomiasocial.com) business in China").3 iResearch, iResearch serial marketing research on China's [AI](https://ka4nem.ru) industry III, December 2020. In tech, for example, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:TiffanyMedworth) leaders Alibaba and ByteDance, both household names in China, have ended up being understood for their highly tailored AI-driven consumer apps. In reality, most of the AI applications that have actually been commonly 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 customers in new ways to increase customer loyalty, earnings, 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 specialists within McKinsey and throughout markets, in addition to extensive analysis of McKinsey market assessments in Europe, the United States, Asia, and China particularly between October and November 2021. In performing our analysis, we looked beyond industrial sectors, such as finance and retail, where there are already fully grown AI use cases and clear adoption. In emerging sectors with the highest value-creation capacity, we concentrated on the domains where AI applications are currently in market-entry stages and could have a disproportionate effect by 2030. Applications in these sectors that either remain in the early-exploration stage or have fully grown 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 remarkable opportunity for [AI](https://www.chinami.com) growth in brand-new sectors in China, including some where innovation and R&D spending have typically lagged worldwide equivalents: automotive, transportation, and logistics \ No newline at end of file