commit 3784b2509c9b9098c54c5e92756b92f3efbaf6b7 Author: boristrivett86 Date: Wed Apr 9 09:49:06 2025 +0200 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..02e5d60 --- /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 strong structure to support its AI economy and made considerable contributions to AI globally. Stanford University's [AI](http://www.scitqn.cn:3000) Index, which assesses AI advancements around the world across different metrics in research, development, and economy, ranks China among the leading 3 countries for international [AI](https://aipod.app) vibrancy.1"Global [AI](https://letustalk.co.in) Vibrancy Tool: Who's leading the global [AI](https://gitlab.radioecca.org) 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](http://115.29.202.246:8888) journal papers and AI citations worldwide in 2021. In economic investment, China accounted for almost one-fifth of global private 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](https://www.armeniapedia.org) by geographic area, 2013-21."
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Five kinds of AI business in China
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In China, we discover that [AI](https://gitea.winet.space) business generally fall into one of 5 main categories:
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Hyperscalers establish end-to-end AI innovation capability and collaborate within the community to serve both business-to-business and business-to-consumer companies. +Traditional industry business serve customers straight by developing and embracing [AI](https://edtech.wiki) in internal transformation, new-product launch, and customer services. +Vertical-specific AI companies develop software and solutions for particular domain usage cases. +[AI](http://52.23.128.62:3000) core tech service providers provide access to computer vision, natural-language processing, voice recognition, and artificial intelligence capabilities to establish AI systems. +Hardware companies provide the hardware facilities to support [AI](https://wiki.airlinemogul.com) need in computing power and storage. +Today, AI adoption is high in China in finance, retail, and high tech, which together represent more than one-third of the country's [AI](http://47.92.218.215:3000) market (see sidebar "5 types of AI companies in China").3 iResearch, iResearch serial marketing research on China's [AI](http://52.23.128.62:3000) industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both home names in China, have actually ended up being known for their highly tailored AI-driven consumer apps. In reality, the majority of the [AI](https://snowboardwiki.net) applications that have been extensively embraced in China to date have remained in consumer-facing industries, moved by the world's biggest internet customer base and the ability to engage with consumers in brand-new ways to increase client commitment, revenue, 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 professionals within McKinsey and across markets, along with substantial analysis of McKinsey market evaluations 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 currently fully grown AI usage cases and clear adoption. In emerging sectors with the highest value-creation capacity, we focused on the domains where [AI](http://211.119.124.110:3000) applications are currently 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 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 decade, our research study indicates that there is incredible chance for [AI](https://gantnews.com) development in new sectors in China, consisting of some where development and R&D costs have traditionally lagged worldwide counterparts: automobile, transportation, and logistics \ No newline at end of file