From 5436668d7f4fa6078e6a57d88f305f9ff59c46e8 Mon Sep 17 00:00:00 2001 From: Emmett Nowland Date: Fri, 7 Feb 2025 11:03:14 +0100 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..3013a4f --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-could-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](http://121.199.172.238:3000) internationally. Stanford University's AI Index, which assesses AI improvements around the world throughout various metrics in research study, advancement, and economy, ranks China among the top three countries for worldwide AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the global [AI](http://150.158.93.145:3000) 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 journal documents and AI citations worldwide in 2021. In financial investment, China represented almost one-fifth of international 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 financial investment in [AI](https://gitea.imwangzhiyu.xyz) by geographical area, 2013-21."
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Five types of AI business in China
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In China, we discover that [AI](https://niaskywalk.com) business typically fall into one of 5 main classifications:
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Hyperscalers develop end-to-end AI innovation ability and work together within the ecosystem to serve both business-to-business and business-to-consumer companies. +Traditional industry business serve customers straight by developing and embracing AI in internal improvement, new-product launch, and customer support. +Vertical-specific [AI](http://8.130.52.45) companies develop software application and solutions for particular domain usage cases. +AI core tech providers offer access to computer system vision, natural-language processing, voice recognition, and artificial intelligence capabilities to develop [AI](https://asg-pluss.com) systems. +Hardware business supply the hardware facilities to support [AI](https://git.selfmade.ninja) demand in computing power and storage. +Today, [AI](http://ribewiki.dk) adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the country's [AI](https://git.owlhosting.cloud) market (see sidebar "5 kinds of AI business in China").3 iResearch, iResearch serial market research study on China's [AI](https://theneverendingstory.net) market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both home names in China, have ended up being known for their highly tailored [AI](https://git.mbyte.dev)-driven consumer apps. In reality, most of the [AI](https://git.tbaer.de) applications that have been widely adopted in China to date have actually remained in consumer-facing markets, propelled by the world's largest internet consumer base and the capability to engage with customers in brand-new ways to increase customer loyalty, income, 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 is based upon field interviews with more than 50 specialists within McKinsey and across markets, together with extensive 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 beyond business sectors, such as finance and retail, where there are already mature AI use cases and clear adoption. In emerging sectors with the greatest value-creation potential, we concentrated on the domains where [AI](http://api.cenhuy.com:3000) applications are currently in market-entry phases and might have a disproportionate 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 function of the study.
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In the coming years, our research shows that there is tremendous chance for AI development in new sectors in China, including some where innovation and R&D costs have generally lagged worldwide equivalents: automobile, transportation, and logistics \ No newline at end of file