commit f2b68f2d598e55af9312a55574d10adc4cd2b497 Author: franziskagoldh Date: Sat Apr 5 06:43:00 2025 +0800 Add 'The next Frontier for aI in China could Add $600 billion to Its Economy' 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..f145071 --- /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 actually built a solid structure to support its AI economy and made substantial contributions to AI worldwide. Stanford University's AI Index, which examines [AI](http://123.111.146.235:9070) improvements around the world across different metrics in research study, advancement, and economy, ranks China amongst the top three countries for worldwide [AI](https://southernsoulatlfm.com) 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 study, for example, China produced about one-third of both AI journal papers and [AI](https://git.jzcscw.cn) citations worldwide in 2021. In financial financial investment, China accounted for nearly one-fifth of international personal financial investment financing 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 by geographical location, 2013-21."
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Five kinds of AI companies in China
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In China, we discover that [AI](https://www.maisondurecrutementafrique.com) business typically fall into one of five main classifications:
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Hyperscalers establish end-to-end [AI](http://60.205.210.36) innovation capability and work together within the community to serve both business-to-business and business-to-consumer companies. +Traditional industry business serve consumers straight by developing and embracing AI in internal transformation, new-product launch, and customer support. +Vertical-specific AI companies establish software application and services for particular domain usage cases. +[AI](https://git.xantxo-coquillard.fr) core tech companies offer access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence abilities to establish AI systems. +Hardware companies offer the hardware infrastructure to support AI 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](http://114.132.230.24:180) business in China").3 iResearch, iResearch serial market research on China's [AI](https://gitea.moerks.dk) market III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both home names in China, have actually become understood for their highly tailored [AI](https://gogs.lnart.com)-driven consumer apps. In reality, the majority of the AI applications that have been commonly embraced in China to date have remained in consumer-facing industries, propelled by the world's biggest internet consumer base and the ability to engage with customers in brand-new ways to increase consumer loyalty, profits, and market appraisals.
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So what's next for [AI](https://kewesocial.site) in China?
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About the research
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This research is based upon field interviews with more than 50 experts within McKinsey and throughout industries, along with extensive analysis of McKinsey market assessments in Europe, the United States, Asia, and China particularly between October and November 2021. In performing our analysis, we looked outside of industrial sectors, such as finance and retail, where there are already mature [AI](http://1.15.150.90:3000) use cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we focused on the domains where AI applications are currently in market-entry phases and could have a disproportionate effect by 2030. Applications in these sectors that either remain in the early-exploration phase or have fully grown industry adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the research study.
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In the coming decade, our research suggests that there is tremendous chance for AI growth in new sectors in China, consisting of some where innovation and R&D spending have actually generally lagged international equivalents: automotive, transportation, and logistics \ No newline at end of file