commit 60fbe1c5d9d114b725b87f4dd7e21bcb80db05dd Author: christenarasco Date: Fri Apr 11 17:28:08 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..d9399ed --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the previous decade, China has constructed a strong foundation to support its [AI](https://testgitea.educoder.net) economy and made considerable contributions to AI internationally. Stanford University's AI Index, which assesses AI advancements worldwide across different metrics in research study, development, and economy, ranks China amongst the leading three nations for global AI vibrancy.1"Global AI Vibrancy Tool: Who's leading the worldwide AI 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](https://dev-members.writeappreviews.com) journal papers and AI citations worldwide in 2021. In financial 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 investment in [AI](http://saehanfood.co.kr) by geographic location, 2013-21."
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Five kinds of AI business in China
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In China, we discover that AI business typically fall into one of five main classifications:
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Hyperscalers develop end-to-end [AI](http://120.237.152.218:8888) innovation ability and team up within the environment to serve both business-to-business and business-to-consumer companies. +Traditional market business serve clients straight by developing and adopting AI in internal improvement, new-product launch, and customer care. +Vertical-specific AI companies develop software and services for specific domain use cases. +AI core tech companies provide access to computer vision, natural-language processing, voice acknowledgment, and artificial intelligence capabilities to establish [AI](https://wiki.uqm.stack.nl) systems. +Hardware companies offer the hardware facilities to support AI demand in computing power and storage. +Today, [AI](http://123.56.247.193:3000) adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the nation's [AI](http://unired.zz.com.ve) market (see sidebar "5 types of AI business in China").3 iResearch, iResearch serial market research on China's AI market III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both household names in China, have become understood for their highly tailored AI-driven customer apps. In truth, many of the AI applications that have been widely adopted in China to date have actually remained in consumer-facing markets, propelled by the world's biggest internet customer base and the ability to engage with consumers in brand-new methods to increase consumer commitment, revenue, and market appraisals.
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So what's next for [AI](http://ep210.co.kr) 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 throughout industries, in addition to extensive analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly between October and November 2021. In performing our analysis, we looked outside of commercial sectors, such as financing and retail, where there are currently fully grown [AI](http://47.100.3.209:3000) usage cases and clear adoption. In emerging sectors with the highest value-creation potential, we concentrated on the domains where AI applications are currently in market-entry stages and could 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 years, our research study suggests that there is tremendous opportunity for AI growth in brand-new sectors in China, including some where innovation and R&D costs have actually typically lagged global counterparts: vehicle, transportation, and logistics \ No newline at end of file