commit a4391441e68f6ce46d17b3b910ac2a91b6485603 Author: florentinaruzi Date: Sun Feb 9 18:59:47 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..b9cd5fa --- /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 constructed a solid foundation to support its AI economy and made considerable contributions to [AI](https://bdstarter.com) internationally. Stanford University's AI Index, which examines AI advancements around the world across numerous metrics in research study, development, and economy, ranks China amongst the leading 3 nations for global AI vibrancy.1"Global [AI](https://kaiftravels.com) 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, for instance, China produced about one-third of both [AI](https://codecraftdb.eu) journal documents and [AI](https://huconnect.org) citations worldwide in 2021. In economic financial investment, China accounted for nearly one-fifth of global personal 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 investment in [AI](http://39.105.203.187:3000) by geographical location, 2013-21."
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Five types of AI companies in China
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In China, we find that [AI](https://sujansadhu.com) business normally fall under one of five main classifications:
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Hyperscalers establish end-to-end [AI](https://git.cacpaper.com) technology capability and work together within the community to serve both business-to-business and business-to-consumer business. +Traditional market companies serve consumers straight by establishing and embracing AI in internal transformation, new-product launch, and client services. +Vertical-specific AI business develop software application and options for specific domain use cases. +AI core tech companies supply access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence abilities to develop [AI](https://teengigs.fun) systems. +Hardware companies provide the hardware facilities to support [AI](https://noteswiki.net) demand in computing 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 nation's AI market (see sidebar "5 types of AI companies in China").3 iResearch, iResearch serial market research on China's AI market III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both family names in China, have become understood for their extremely tailored AI-driven consumer apps. In reality, the majority of the AI applications that have actually been commonly adopted in China to date have remained in consumer-facing industries, moved by the world's biggest web customer base and the ability to engage with customers in new methods to increase customer commitment, 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 study is based on field interviews with more than 50 experts within McKinsey and throughout industries, in addition to substantial 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 beyond business sectors, such as financing and retail, where there are currently fully grown AI usage cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we concentrated on the domains where AI applications are presently in market-entry phases and might have a disproportionate effect by 2030. Applications in these sectors that either remain in the early-exploration stage or have fully grown industry adoption, such as manufacturing-operations optimization, were not the focus for the function of the research study.
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In the coming decade, our research suggests that there is significant chance for AI development in brand-new sectors in China, including some where innovation and R&D costs have actually traditionally lagged worldwide counterparts: automobile, transportation, and logistics \ No newline at end of file