From cb67fb548f743f1eca2bf7c6ecb5834ca0feb4c1 Mon Sep 17 00:00:00 2001 From: denisecate938 Date: Sat, 1 Mar 2025 04:20:15 +0800 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..eae969d --- /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 years, China has built a strong foundation to support its [AI](https://incomash.com) economy and made substantial contributions to AI globally. Stanford University's [AI](http://103.197.204.162:3025) Index, which assesses AI developments around the world throughout various metrics in research, development, and economy, ranks China amongst the top 3 countries for international [AI](http://8.137.103.221:3000) vibrancy.1"Global AI Vibrancy Tool: Who's leading the international [AI](https://repo.serlink.es) race?" Expert System 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://topbazz.com) journal documents and [AI](http://www.lebelleclinic.com) citations worldwide in 2021. In financial financial investment, China represented almost one-fifth of worldwide private investment financing in 2021, drawing 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 by geographic area, 2013-21."
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Five kinds of AI business in China
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In China, we find that [AI](http://moyora.today) business generally fall under among five main classifications:
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Hyperscalers establish end-to-end [AI](http://112.112.149.146:13000) innovation capability and collaborate within the community to serve both business-to-business and business-to-consumer companies. +Traditional industry companies serve customers straight by developing and embracing [AI](https://fotobinge.pincandies.com) in internal improvement, new-product launch, and customer care. +Vertical-specific [AI](https://complete-jobs.co.uk) business establish software and solutions for particular domain use cases. +AI core tech suppliers supply access to computer system vision, natural-language processing, voice recognition, and artificial intelligence abilities to develop [AI](https://wavedream.wiki) systems. +Hardware business offer the hardware facilities to support AI need in calculating power and storage. +Today, [AI](http://www.hnyqy.net:3000) 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 marketing research on China's AI industry III, December 2020. In tech, for instance, leaders Alibaba and ByteDance, both home names in China, have actually become known for their extremely tailored AI-driven consumer apps. In reality, the majority of the [AI](https://www.allclanbattles.com) applications that have actually been widely embraced in China to date have remained in consumer-facing markets, moved by the world's biggest internet consumer base and the capability to engage with customers in new methods to increase client commitment, income, 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 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 outside of commercial sectors, such as finance and retail, where there are currently fully grown AI usage cases and clear adoption. In emerging sectors with the greatest value-creation potential, we concentrated on the domains where [AI](https://sowjobs.com) 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 mature 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 shows that there is remarkable chance for AI development in new sectors in China, consisting of some where development and R&D spending have actually traditionally lagged international equivalents: vehicle, transportation, and logistics \ No newline at end of file