From 826c5e8c2702483668b9625127734b5aef4ff900 Mon Sep 17 00:00:00 2001 From: gracielaforand Date: Wed, 9 Apr 2025 19:14:55 +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..846c438 --- /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 developed a strong foundation to support its AI economy and made considerable contributions to [AI](http://git.guandanmaster.com) worldwide. Stanford University's [AI](https://xn--939a42kg7dvqi7uo.com) Index, which assesses AI advancements worldwide across various metrics in research study, advancement, and economy, ranks China amongst the top three countries for global AI vibrancy.1"Global [AI](https://jobs.fabumama.com) Vibrancy Tool: Who's leading the global AI race?" Artificial Intelligence Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research, for instance, China produced about one-third of both [AI](https://source.futriix.ru) journal documents and AI citations worldwide in 2021. In financial financial investment, China represented nearly one-fifth of international personal investment financing in 2021, bring in $17 billion for [AI](http://43.139.182.87:1111) 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 geographic location, 2013-21."
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Five kinds of AI companies in China
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In China, we find that [AI](https://jobsekerz.com) business generally fall into one of 5 main categories:
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Hyperscalers establish end-to-end AI innovation ability and collaborate within the environment to serve both business-to-business and business-to-consumer companies. +Traditional industry business serve clients straight by developing and embracing AI in internal change, new-product launch, and client service. +Vertical-specific [AI](https://www.rozgar.site) business develop software and services for specific domain use cases. +AI core tech suppliers supply access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. +Hardware companies offer the hardware infrastructure to support AI demand in computing power and storage. +Today, [AI](https://gitea.dusays.com) adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the nation's [AI](http://sdongha.com) market (see sidebar "5 kinds of AI companies in China").3 iResearch, iResearch serial marketing research on China's [AI](https://git.hitchhiker-linux.org) industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both household names in China, have actually ended up being understood for their extremely tailored AI-driven customer apps. In truth, most of the AI applications that have actually been widely embraced in China to date have remained in consumer-facing industries, moved by the world's biggest internet customer base and the capability to engage with consumers in new ways to increase consumer loyalty, revenue, and market appraisals.
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So what's next for AI in China?
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About the research study
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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 substantial 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 beyond industrial sectors, such as financing and retail, where there are already mature AI usage cases and clear adoption. In emerging sectors with the highest value-creation capacity, we focused on the domains where AI applications are presently 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 industry 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 study shows that there is remarkable opportunity for AI development in new sectors in China, including some where innovation and R&D costs have typically lagged international counterparts: automobile, transportation, and logistics \ No newline at end of file