From 554610099c23982316dba71399713b29bb97a212 Mon Sep 17 00:00:00 2001 From: Blake Gutierrez Date: Sun, 16 Feb 2025 08:33:19 +0800 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..e8b3903 --- /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 substantial contributions to [AI](https://carrieresecurite.fr) worldwide. Stanford University's AI Index, which evaluates [AI](https://southwales.com) advancements around the world across different metrics in research study, advancement, and economy, ranks China amongst the top 3 countries for international AI vibrancy.1"Global [AI](https://sapjobsindia.com) 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 instance, China produced about one-third of both [AI](https://gitlab.ccc.org.co) journal papers and AI citations worldwide in 2021. In financial investment, China represented nearly one-fifth of worldwide personal financial investment financing in 2021, attracting $17 billion for [AI](http://code.hzqykeji.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 investment in [AI](https://jobidream.com) by geographic area, 2013-21."
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Five types of AI business in China
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In China, we find that [AI](https://jobdd.de) business usually fall into among five main classifications:
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Hyperscalers develop end-to-end [AI](https://premiergitea.online:3000) technology ability and team up within the ecosystem to serve both business-to-business and business-to-consumer business. +Traditional industry business serve clients straight by developing and embracing AI in internal transformation, new-product launch, and customer care. +Vertical-specific AI business develop software application and options for particular domain usage cases. +[AI](http://touringtreffen.nl) core tech companies offer access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to establish AI systems. +Hardware companies provide the hardware facilities to support AI need in computing power and storage. +Today, AI 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 business in China").3 iResearch, iResearch serial market research study on China's AI industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both home names in China, have actually ended up being understood for their extremely tailored AI-driven customer apps. In truth, many of the AI applications that have actually been widely embraced in China to date have remained in consumer-facing markets, propelled by the world's biggest internet customer base and the capability to engage with consumers in new ways to increase customer loyalty, profits, and market appraisals.
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So what's next for [AI](http://tv.houseslands.com) in China?
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About the research study
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This research is based on field interviews with more than 50 professionals within McKinsey and across markets, in addition to 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 industrial sectors, such as finance and retail, where there are currently mature [AI](https://git.the-kn.com) use cases and clear adoption. In emerging sectors with the highest value-creation potential, we concentrated on the domains where AI applications are currently 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 fully grown 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 indicates that there is tremendous chance for AI growth in brand-new sectors in China, including some where innovation and R&D costs have traditionally lagged global counterparts: vehicle, transportation, and logistics \ No newline at end of file