#china-ai-strategy

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fromBusiness Insider
6 days ago

China's AI push is about spreading economic gains, not enriching tech giants, a finance CEO says

Open source - that might be the clearest signal of how China wants artificial intelligence to reshape its economy. Hisham Alrayes, the group CEO of Bahrain-based GFH Financial Group, said China is prioritizing open models and broad deployment to spread AI's gains across the economy, instead of funneling them to a few tech giants. Speaking at a Davos panel on China's "AI+ Economy" strategy on Wednesday, Alrayes said the country's approach reflects a fundamentally different economic philosophy.
Artificial intelligence
fromFortune
1 month ago

China does not need Nvidia chips in the AI war - export controls only pushed it to build its own AI machine. | Fortune

But they are wrong. These arguments assume that China cannot succeed in AI without access to these advanced AI chips, which is not the case. Advanced AI chips simply reduce the cost of AI. Today's state-of-the-art AI models require a large number of AI chips to build and run. An advanced chip has higher performance; therefore, fewer are needed to achieve the same AI performance.
US politics
Artificial intelligence
fromFortune
2 months ago

Jefferies' Chris Wood called Japan's crash and the U.S. housing bubble. He's now warning of an 'AI capex arms race' | Fortune

An AI capex arms race concentrates profits in infrastructure providers, risks an over-investment bust, and shifts opportunity toward China due to energy and pragmatic deployment.
Artificial intelligence
fromwww.dw.com
3 months ago

China's AI ambitions target US tech dominance DW 10/21/2025

China is rapidly building AI capability through massive investment, competitive startups and tech giants, narrowing the gap with the US in cost-efficient, scalable AI.
Artificial intelligence
fromBusiness Insider
3 months ago

Alibaba's Joe Tsai says the AI race has no winner - and the US has to learn from China

AI competition favors rapid adoption and real‑world deployment of efficient, smaller models rather than building the largest or most powerful models.
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