From 2be5ab930d8e4234f0be38301e8b75791fbef4e5 Mon Sep 17 00:00:00 2001 From: Chun Karr Date: Mon, 17 Feb 2025 03:33:55 +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..6e65649 --- /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 years, China has developed a solid structure to support its [AI](http://43.138.236.3:9000) economy and made substantial contributions to AI worldwide. Stanford University's AI Index, which examines AI advancements worldwide throughout various metrics in research, advancement, and economy, ranks China amongst the leading three nations for international AI .1"Global AI Vibrancy Tool: Who's leading the international [AI](http://150.158.93.145:3000) race?" Expert System Index, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University, 2021 ranking. On research study, for instance, China produced about one-third of both AI journal papers and [demo.qkseo.in](http://demo.qkseo.in/profile.php?id=999232) AI citations worldwide in 2021. In economic financial investment, China accounted for nearly one-fifth of worldwide personal financial investment financing in 2021, bring in $17 billion for [AI](https://filuv.bnkode.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 financial investment in AI by geographical area, 2013-21."
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Five types of AI companies in China
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In China, we discover that [AI](https://kanjob.de) business usually fall under among 5 main classifications:
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Hyperscalers develop end-to-end AI innovation capability and work together within the environment to serve both business-to-business and business-to-consumer companies. +Traditional market business serve customers straight by establishing and adopting AI in internal improvement, new-product launch, and customer support. +Vertical-specific [AI](https://www.jobzpakistan.info) business establish software application and solutions for specific domain usage cases. +[AI](http://111.230.115.108:3000) core tech providers offer access to computer vision, natural-language processing, voice recognition, and artificial intelligence abilities to establish AI systems. +Hardware companies provide the hardware facilities to support [AI](https://plamosoku.com) need in calculating power and storage. +Today, AI adoption is high in China in financing, retail, and high tech, which together account for more than one-third of the country's AI market (see sidebar "5 types of [AI](https://titikaka.unap.edu.pe) business in China").3 iResearch, iResearch serial market research on China's AI industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both home names in China, have ended up being known for their extremely tailored [AI](http://kacm.co.kr)-driven consumer apps. In truth, the majority of the AI applications that have been commonly embraced in China to date have actually remained in consumer-facing markets, propelled by the world's biggest internet customer base and the ability to engage with customers in brand-new methods to increase customer 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 study is based on field interviews with more than 50 professionals within McKinsey and throughout markets, along 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 beyond industrial sectors, such as financing and retail, where there are already fully grown AI usage cases and clear adoption. In emerging sectors with the highest value-creation capacity, we focused on the domains where [AI](https://aloshigoto.jp) applications are presently in market-entry phases and might have an out of proportion impact by 2030. Applications in these sectors that either remain in the early-exploration phase 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 years, our research indicates that there is tremendous opportunity for [AI](http://okosg.co.kr) growth in new sectors in China, consisting of some where development and R&D spending have actually generally lagged worldwide equivalents: vehicle, transportation, and logistics \ No newline at end of file