From aacfb303a80c026c23002328c6b37d862020fe8f Mon Sep 17 00:00:00 2001 From: jenniecarone5 Date: Thu, 3 Apr 2025 04:27:42 +0200 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..ba74d26 --- /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 years, China has actually built a solid foundation to support its AI economy and made substantial contributions to AI worldwide. Stanford University's AI Index, which evaluates AI improvements worldwide across various metrics in research, [larsaluarna.se](http://www.larsaluarna.se/index.php/User:EmilyHodel) advancement, and economy, ranks China among the top 3 nations for international [AI](http://39.101.160.11:8099) vibrancy.1"Global AI Vibrancy Tool: Who's leading the worldwide AI 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 citations worldwide in 2021. In financial investment, China accounted for nearly 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 investment in [AI](https://www.ayurjobs.net) by geographical area, 2013-21."
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Five types of [AI](http://103.140.54.20:3000) companies in China
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In China, we discover that AI companies generally fall under one of five main categories:
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Hyperscalers develop end-to-end AI technology capability and collaborate within the community to serve both business-to-business and business-to-consumer business. +Traditional industry companies serve customers straight by developing and adopting [AI](https://afacericrestine.ro) in internal change, new-product launch, and client service. +Vertical-specific AI business develop software and options for particular domain usage cases. +AI core tech suppliers supply access to computer vision, natural-language processing, [wavedream.wiki](https://wavedream.wiki/index.php/User:DannieSalter0) voice recognition, and artificial intelligence capabilities to establish AI systems. +Hardware companies offer the hardware facilities to support [AI](http://47.109.24.44:4747) demand in computing power and storage. +Today, [AI](http://taesungco.net) adoption is high in China in financing, retail, and high tech, which together represent more than one-third of the nation's AI market (see sidebar "5 types of AI business in China").3 iResearch, iResearch serial marketing research on China's [AI](http://bhnrecruiter.com) industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both family names in China, have ended up being understood for their extremely tailored AI-driven consumer apps. In fact, many of the AI applications that have been extensively adopted in China to date have remained in consumer-facing markets, propelled by the world's largest web consumer base and the ability to engage with customers in brand-new methods to increase client loyalty, profits, and market appraisals.
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So what's next for [AI](https://igazszavak.info) 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 across industries, together with substantial analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly in between October and November 2021. In performing our analysis, we looked outside of business sectors, such as finance and retail, where there are already mature [AI](https://git.bubbleioa.top) use cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we focused on the domains where AI applications are currently in market-entry phases and could 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 purpose of the study.
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In the coming decade, our research study shows that there is tremendous chance for [AI](http://gitea.digiclib.cn:801) development in new sectors in China, consisting of some where innovation and R&D costs have typically lagged international equivalents: automotive, transportation, and logistics \ No newline at end of file