From 99b4f5c28f1414ebab8fbece33d09adffdbc46db Mon Sep 17 00:00:00 2001 From: angelahanton9 Date: Fri, 7 Feb 2025 09:24:28 +0000 Subject: [PATCH] Add 'The next Frontier for aI in China might Add $600 billion to Its Economy' --- ...China-might-Add-%24600-billion-to-Its-Economy.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 The-next-Frontier-for-aI-in-China-might-Add-%24600-billion-to-Its-Economy.md 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..9b25da9 --- /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 built a solid structure to support its [AI](https://git.silasvedder.xyz) economy and made substantial contributions to [AI](http://124.71.40.41:3000) globally. Stanford University's AI Index, which assesses AI advancements around the world throughout various metrics in research study, advancement, and economy, ranks China among the leading three countries for international AI vibrancy.1"Global [AI](http://106.52.134.22:3000) 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 study, for instance, China produced about one-third of both AI journal documents and AI citations worldwide in 2021. In economic investment, China accounted for almost one-fifth of global private financial investment financing in 2021, bring in $17 billion for [AI](https://git.silasvedder.xyz) 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://www.xyais.com) by geographic location, 2013-21."
+
Five types of [AI](https://www.oddmate.com) companies in China
+
In China, we discover that [AI](https://git.smartenergi.org) companies generally fall into among 5 main classifications:
+
Hyperscalers develop end-to-end [AI](http://chichichichichi.top:9000) technology ability and work together within the community to serve both business-to-business and business-to-consumer business. +Traditional market business serve consumers straight by establishing and adopting AI in internal improvement, new-product launch, and consumer services. +Vertical-specific AI companies develop software and solutions for particular domain usage cases. +AI core tech suppliers provide access to computer system vision, natural-language processing, voice recognition, and artificial intelligence abilities to develop AI systems. +Hardware companies supply the hardware infrastructure to support [AI](http://git.storkhealthcare.cn) need in calculating 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 types of AI business in China").3 iResearch, iResearch serial market research study on China's AI industry III, December 2020. In tech, for example, leaders Alibaba and ByteDance, both household names in China, have become known for their extremely tailored [AI](https://git.obo.cash)-driven consumer apps. In truth, the majority of the [AI](http://101.200.241.6:3000) applications that have actually been extensively adopted in China to date have actually remained in consumer-facing markets, propelled by the world's largest internet customer base and the capability to engage with consumers in brand-new ways to increase consumer loyalty, revenue, and market appraisals.
+
So what's next for [AI](https://172.105.135.218) in China?
+
About the research
+
This research is based on field interviews with more than 50 professionals within McKinsey and across industries, together with comprehensive 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 industrial sectors, such as finance and retail, where there are currently mature [AI](http://ufidahz.com.cn:9015) usage cases and clear adoption. In emerging sectors with the highest value-creation capacity, we focused on the domains where AI applications are currently in market-entry stages and might have an out of proportion effect by 2030. Applications in these sectors that either remain in the early-exploration stage or have fully grown market adoption, such as manufacturing-operations optimization, were not the focus for the purpose of the research study.
+
In the coming decade, our research study indicates that there is remarkable opportunity for AI growth in new sectors in China, including some where development and R&D costs have actually traditionally lagged global equivalents: automotive, transportation, and logistics \ No newline at end of file