From 5475bd7aa77ef0defebda262f54ec5ac9bc02d01 Mon Sep 17 00:00:00 2001 From: Alan Kahle Date: Fri, 14 Mar 2025 16:54:57 +0100 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..68ef00d --- /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 strong structure to support its AI economy and made substantial contributions to AI internationally. Stanford University's AI Index, which evaluates AI advancements around the world throughout different metrics in research study, advancement, and economy, ranks China among the top three countries for international AI vibrancy.1"Global [AI](http://gogs.fundit.cn:3000) 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 instance, China produced about one-third of both AI journal papers and [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11987384) AI citations worldwide in 2021. In financial investment, China represented almost one-fifth of worldwide private financial investment financing in 2021, attracting $17 billion for [AI](https://scienetic.de) 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://chumcity.xyz) by geographical location, 2013-21."
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Five kinds of AI companies in China
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In China, we find that AI companies usually fall under among 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 industry business serve customers straight by establishing and embracing AI in internal transformation, new-product launch, and customer care. +Vertical-specific AI business develop software and options for specific domain use cases. +AI 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 demand in calculating power and storage. +Today, [AI](https://wiki.aipt.group) adoption is high in China in finance, retail, and high tech, which together represent more than one-third of the country's AI market (see sidebar "5 kinds of AI companies in China").3 iResearch, iResearch serial marketing research on China's AI industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both household names in China, have actually become known for their highly tailored AI-driven consumer apps. In fact, most of the AI applications that have actually been extensively embraced in China to date have remained in consumer-facing markets, propelled by the world's largest internet customer base and the ability 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 study is based upon field interviews with more than 50 experts within McKinsey and across 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 outside of commercial sectors, such as finance and retail, where there are already fully grown [AI](https://gertsyhr.com) use cases and clear adoption. In emerging sectors with the highest value-creation potential, we focused on the domains where [AI](http://47.92.149.153:3000) applications are presently in market-entry phases and could have a disproportionate impact by 2030. Applications in these sectors that either remain in the early-exploration phase or have mature market adoption, [gratisafhalen.be](https://gratisafhalen.be/author/dellar7195/) such as manufacturing-operations optimization, were not the focus for the purpose of the research study.
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In the coming years, our research shows that there is incredible opportunity for AI development in brand-new sectors in China, including some where development and R&D spending have actually traditionally lagged global equivalents: automobile, transport, and logistics \ No newline at end of file