commit 679c4670bbb3e24c07fc34e845ffca6c40d3f9ab Author: ezequielfortne Date: Sun Feb 16 08:59:19 2025 +0000 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..dfd0207 --- /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 foundation to support its AI economy and made significant contributions to AI globally. Stanford University's AI Index, which examines [AI](http://8.129.8.58) advancements around the world throughout various metrics in research, advancement, and [wiki.vst.hs-furtwangen.de](https://wiki.vst.hs-furtwangen.de/wiki/User:ReubenQid343925) economy, ranks China among the top 3 countries for international [AI](http://81.70.93.203:3000) vibrancy.1"Global [AI](https://gitea.itskp-odense.dk) Vibrancy Tool: Who's leading the global [AI](http://jobs.freightbrokerbootcamp.com) race?" Artificial Intelligence 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 citations worldwide in 2021. In financial financial investment, China accounted for almost one-fifth of global personal investment financing in 2021, attracting $17 billion for [AI](https://gitea.scubbo.org) 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://men7ty.com) by geographic location, 2013-21."
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Five kinds of AI business in China
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In China, we find that AI business generally fall under one of five main categories:
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Hyperscalers establish end-to-end [AI](https://git.camus.cat) technology ability and work together within the ecosystem to serve both business-to-business and business-to-consumer business. +Traditional market business serve customers straight by developing and embracing AI in internal change, new-product launch, and customer care. +Vertical-specific [AI](http://139.199.191.197:15000) business develop software and services for particular domain usage cases. +[AI](https://demo.shoudyhosting.com) core tech companies supply access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to develop AI systems. +Hardware business 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 nation's AI market (see sidebar "5 kinds of AI companies in China").3 iResearch, iResearch serial market research study on China's [AI](https://kahkaham.net) industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both family names in China, have ended up being understood for their highly tailored [AI](http://gitlab.ileadgame.net)-driven customer apps. In fact, most of the [AI](http://170.187.182.121:3000) applications that have actually been commonly adopted in China to date have remained in consumer-facing industries, propelled by the world's largest web consumer base and the capability to engage with consumers 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 study
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This research is based upon 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 outside of industrial sectors, such as financing and retail, where there are already mature 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 stages and might have an out of proportion 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 indicates that there is significant opportunity for AI development in new sectors in China, including some where development and R&D costs have actually traditionally lagged global equivalents: vehicle, transport, and logistics \ No newline at end of file