commit 2a88c757fb442505bd1df6d0d4264472ab88ec66 Author: darnellgarrett Date: Fri Feb 28 13:36:37 2025 +0000 Add 'The next Frontier for aI in China might Add $600 billion to Its Economy' diff --git a/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md b/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md new file mode 100644 index 0000000..45b867c --- /dev/null +++ b/The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md @@ -0,0 +1,13 @@ +
In the previous years, China has actually built a strong structure to support its [AI](https://git.youxiner.com) economy and made substantial contributions to [AI](http://rackons.com) globally. 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 leading three nations for global [AI](https://git.tool.dwoodauto.com) vibrancy.1"Global AI Vibrancy Tool: Who's leading the international AI 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://gogs.zhongzhongtech.com) journal documents and AI citations worldwide in 2021. In financial investment, China represented almost one-fifth of international private financial 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](http://kyeongsan.co.kr) business in China
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In China, we discover that AI business generally fall into one of five main categories:
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Hyperscalers develop end-to-end [AI](https://love63.ru) technology ability and collaborate within the environment to serve both business-to-business and business-to-consumer business. +Traditional market companies serve clients straight by developing and embracing AI in internal transformation, new-product launch, and customer care. +Vertical-specific AI companies develop software and solutions for specific domain use cases. +AI core tech suppliers supply access to computer vision, natural-language processing, voice recognition, and artificial intelligence abilities to develop [AI](https://git.li-yo.ts.net) systems. +Hardware business offer the hardware facilities to support AI demand in computing power and storage. +Today, AI adoption is high in China in finance, retail, and high tech, which together account for more than one-third of the country's AI market (see sidebar "5 kinds of [AI](https://spaceballs-nrw.de) business in China").3 iResearch, iResearch serial marketing research on China's [AI](https://cariere.depozitulmax.ro) market III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both household names in China, have ended up being known for their highly tailored AI-driven consumer apps. In reality, the majority of the AI applications that have actually been extensively adopted in China to date have actually remained in consumer-facing industries, moved by the world's largest internet customer base and the capability to engage with consumers in brand-new methods to increase consumer 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 on field interviews with more than 50 professionals within McKinsey and across markets, along with extensive analysis of McKinsey market evaluations in Europe, the United States, Asia, and China particularly in between October and November 2021. In performing our analysis, we looked beyond business 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 potential, we concentrated on the domains where [AI](https://aipod.app) 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 stage or have fully grown industry adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the study.
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In the coming years, our research indicates that there is significant chance for AI development in new sectors in China, including some where development and R&D spending have actually traditionally lagged worldwide counterparts: [thisglobe.com](https://thisglobe.com/index.php?action=profile \ No newline at end of file