From 1ca4153625a06d7f077b775189067b536ec01dea Mon Sep 17 00:00:00 2001 From: Amanda Gyles Date: Sun, 16 Feb 2025 06:30:47 +0000 Subject: [PATCH] Add 'The next Frontier for aI in China could Add $600 billion to Its Economy' --- ...China-could-Add-%24600-billion-to-Its-Economy.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 The-next-Frontier-for-aI-in-China-could-Add-%24600-billion-to-Its-Economy.md 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..1adc148 --- /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 years, China has developed a solid foundation to support its AI economy and made considerable contributions to [AI](http://124.222.6.97:3000) worldwide. Stanford University's AI Index, which assesses AI developments worldwide across different metrics in research study, development, and economy, ranks China amongst the leading 3 countries for worldwide AI vibrancy.1"Global [AI](https://www.mudlog.net) 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, for example, China produced about one-third of both AI journal documents and AI citations worldwide in 2021. In financial financial investment, China accounted for nearly one-fifth of international personal financial investment funding in 2021, attracting $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](https://git.cocorolife.tw) by geographical location, 2013-21."
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Five kinds of AI companies in China
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In China, we discover that [AI](https://git.fpghoti.com) business generally fall into one of five main classifications:
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Hyperscalers develop end-to-end AI technology ability and collaborate within the community to serve both business-to-business and business-to-consumer companies. +Traditional market business serve customers straight by developing and embracing [AI](http://119.3.70.207:5690) in internal change, new-product launch, and consumer services. +Vertical-specific [AI](https://adremcareers.com) companies develop software application and solutions for particular domain usage cases. +AI core tech service providers supply access to computer system vision, natural-language processing, voice acknowledgment, and artificial intelligence abilities to establish [AI](https://learninghub.fulljam.com) systems. +Hardware companies supply the hardware facilities to support [AI](http://101.132.163.196:3000) need in calculating power and storage. +Today, [AI](https://git.cocorolife.tw) 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 types of [AI](https://shiapedia.1god.org) companies in China").3 iResearch, iResearch serial marketing research on China's AI industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both family names in China, have ended up being understood for their extremely tailored [AI](https://sowjobs.com)-driven consumer apps. In fact, many of the [AI](http://47.90.83.132:3000) applications that have actually been extensively embraced in China to date have remained in consumer-facing markets, propelled by the world's biggest internet consumer base and the ability to engage with consumers in 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 upon field interviews with more than 50 specialists within McKinsey and across industries, in addition to substantial analysis of McKinsey market assessments in Europe, the United States, Asia, and China particularly in between October and November 2021. In performing our analysis, we looked beyond commercial 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 potential, we focused on the domains where AI applications are currently in market-entry phases and might have a disproportionate impact by 2030. Applications in these sectors that either remain in the early-exploration phase or have fully grown market 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 suggests that there is incredible opportunity for AI development in new sectors in China, consisting of some where development and R&D spending have actually traditionally lagged worldwide counterparts: automotive, transportation, and logistics \ No newline at end of file