From 20d3bedff612d00485245c28a94a5b914333518d Mon Sep 17 00:00:00 2001 From: chaumoberg4413 Date: Fri, 7 Feb 2025 06:07:46 +0800 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..d91f291 --- /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 constructed a strong foundation to support its AI economy and made substantial contributions to AI globally. Stanford University's AI Index, which assesses AI developments worldwide across various metrics in research study, development, and economy, ranks China amongst the top three nations for global AI vibrancy.1"Global [AI](https://gitea.evo-labs.org) Vibrancy Tool: Who's leading the worldwide [AI](http://git.tbd.yanzuoguang.com) 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 papers and AI citations worldwide in 2021. In economic investment, China represented nearly one-fifth of worldwide personal 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 by geographic location, 2013-21."
+
Five types of [AI](https://www.xafersjobs.com) companies in China
+
In China, we find that AI business typically fall under among five main categories:
+
Hyperscalers develop end-to-end AI technology capability and team up within the community to serve both business-to-business and business-to-consumer companies. +Traditional industry business serve clients straight by developing and adopting [AI](https://social.oneworldonesai.com) in internal improvement, new-product launch, and consumer services. +Vertical-specific [AI](http://gpra.jpn.org) companies develop software application and services for particular domain use cases. +AI core tech providers provide access to computer system vision, natural-language processing, voice recognition, and artificial intelligence abilities to develop AI systems. +Hardware companies supply the hardware facilities to support AI demand in calculating power and storage. +Today, AI adoption is high in China in financing, retail, and high tech, which together represent more than one-third of the nation's [AI](http://git.edazone.cn) market (see sidebar "5 types of [AI](https://somkenjobs.com) companies in China").3 iResearch, iResearch serial market 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 highly tailored [AI](https://gitlab.xfce.org)-driven customer apps. In fact, many of the AI applications that have actually been extensively adopted in China to date have remained in consumer-facing industries, moved by the world's biggest web customer base and the capability to engage with customers in brand-new methods to increase customer loyalty, revenue, and market appraisals.
+
So what's next for AI in China?
+
About the research
+
This research is based on field interviews with more than 50 professionals within McKinsey and throughout industries, together with extensive analysis of McKinsey market assessments in Europe, the United States, Asia, and China specifically between October and November 2021. In performing our analysis, we looked outside of industrial sectors, such as finance and retail, where there are already mature AI use cases and clear adoption. In emerging sectors with the greatest value-creation capacity, we concentrated on the domains where AI applications are presently in market-entry phases and could have an out of proportion impact by 2030. Applications in these sectors that either remain in the early-exploration stage or have mature market adoption, such as manufacturing-operations optimization, were not the focus for the function of the study.
+
In the coming years, our research suggests that there is significant opportunity for AI growth in brand-new sectors in China, consisting of some where development and R&D spending have actually generally lagged worldwide counterparts: automotive, transport, and logistics \ No newline at end of file