commit 4ed07293c0dbe3d1ae6ac9eb6b1f39cd3e7444fe Author: dorthea96o185 Date: Fri Apr 4 22:08:57 2025 +0000 Add 'The next Frontier for aI in China might Add $600 billion to Its Economy' 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..f2319c7 --- /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 built a strong structure to support its [AI](http://www.colegio-sanandres.cl) economy and made substantial contributions to AI worldwide. Stanford University's [AI](https://heyplacego.com) Index, which evaluates [AI](https://precise.co.za) improvements worldwide across different metrics in research, advancement, and economy, ranks China amongst the leading three countries for global AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the international AI race?" Artificial Intelligence 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 documents and AI citations worldwide in 2021. In economic investment, China accounted for almost one-fifth of worldwide personal financial investment funding in 2021, bring 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](http://123.207.52.103:3000) by geographic location, 2013-21."
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Five kinds of [AI](https://wiki.awkshare.com) business in China
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In China, we find that [AI](https://kiaoragastronomiasocial.com) business typically fall under among five main classifications:
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Hyperscalers develop end-to-end AI technology capability and team up within the community to serve both business-to-business and business-to-consumer business. +Traditional industry companies serve clients straight by developing and adopting [AI](https://ari-sound.aurumai.io) in internal improvement, new-product launch, and client service. +Vertical-specific [AI](https://wiki.monnaie-libre.fr) business develop software application and solutions for specific domain use cases. +AI core tech providers offer access to computer system vision, natural-language processing, voice recognition, and artificial intelligence capabilities to develop AI systems. +Hardware business offer the hardware facilities to support AI demand in computing power and storage. +Today, [AI](https://livy.biz) 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 companies in China").3 iResearch, iResearch serial marketing research on China's AI market III, December 2020. In tech, [higgledy-piggledy.xyz](https://higgledy-piggledy.xyz/index.php/User:JayVachon971) for example, leaders Alibaba and ByteDance, both family names in China, have become known for their extremely tailored AI-driven consumer apps. In reality, the majority of the AI applications that have been commonly embraced in China to date have actually remained in consumer-facing industries, moved by the world's biggest web customer 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 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 specialists within McKinsey and across industries, in addition to 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 finance and retail, where there are already mature AI use cases and clear adoption. In emerging sectors with the highest value-creation capacity, we focused on the domains where AI are presently 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 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 study shows that there is significant chance for AI growth in new sectors in China, consisting of some where innovation and R&D spending have typically lagged worldwide counterparts: automotive, transportation, and logistics \ No newline at end of file