From 6a747e72b16fcae2efdc712fea644b22dac3b3a6 Mon Sep 17 00:00:00 2001 From: gregjyx548278 Date: Sat, 15 Feb 2025 01:05:50 +0100 Subject: [PATCH] Add 'The next Frontier for aI in China might Add $600 billion to Its Economy' --- ...China-might-Add-%24600-billion-to-Its-Economy.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md diff --git a/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md b/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md new file mode 100644 index 0000000..80de8ea --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the previous decade, China has actually constructed a solid foundation to support its AI economy and made substantial contributions to AI globally. Stanford University's [AI](https://sos.shinhan.ac.kr) Index, which examines AI improvements around the world throughout different metrics in research study, development, and economy, ranks China amongst the top three countries for worldwide 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, for example, China produced about one-third of both [AI](https://esvoe.video) journal documents and [AI](http://62.210.71.92) citations worldwide in 2021. In economic financial investment, China represented nearly one-fifth of global private financial investment funding in 2021, attracting $17 billion for [AI](https://wiki.trinitydesktop.org) 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 geographical location, 2013-21."
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Five types of AI business in China
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In China, we discover that AI business typically fall into among 5 main classifications:
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Hyperscalers develop end-to-end AI innovation capability and team up within the environment to serve both business-to-business and business-to-consumer business. +Traditional industry business serve clients straight by developing and [pediascape.science](https://pediascape.science/wiki/User:CaroleRinaldi) adopting AI in internal transformation, new-product launch, and customer services. +Vertical-specific [AI](https://rubius-qa-course.northeurope.cloudapp.azure.com) business establish software and solutions for particular domain use cases. +AI core tech service providers offer access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence abilities to develop AI systems. +Hardware companies supply the hardware facilities to support [AI](https://www.sportpassionhub.com) need 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 country's AI market (see sidebar "5 kinds of [AI](https://dronio24.com) business in China").3 iResearch, iResearch serial market research study on China's AI market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both home names in China, have actually ended up being understood for their highly tailored [AI](http://49.235.130.76)-driven consumer apps. In truth, the majority of the AI applications that have been widely adopted in China to date have remained in consumer-facing industries, moved by the world's biggest internet consumer base and the capability to engage with customers in brand-new ways to increase client loyalty, profits, 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 is based upon field interviews with more than 50 specialists within McKinsey and across industries, together with 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 industrial sectors, such as financing and retail, where there are already fully grown [AI](https://git.intelgice.com) usage cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we focused on the domains where [AI](http://git.agdatatec.com) applications are currently in market-entry stages and could have a disproportionate impact by 2030. Applications in these sectors that either remain in the early-exploration stage or have mature market 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 indicates that there is significant chance for AI growth in new sectors in China, including some where innovation and R&D spending have typically lagged international counterparts: automotive, transport, and logistics \ No newline at end of file