핵심요약

• OpenAI와 Broadcom, AMD, Nvidia 간 계약으로 총 26기가와트의 전력 수요 발생
• Broadcom 주가 10% 상승, AMD 37%, Nvidia 3.93% 상승
• 중국, 미국의 제재 대응을 위해 자체 반도체 및 AI 기업 육성
• AI 경쟁이 기술 및 지정학적 풍경을 decades에 걸쳐 형성할 전망

도입

이 기사는 AI 경쟁이 글로벌 반도체 시장에 미치는 영향과 미국의 자본 집약적 전략 vs 중국 자립적 접근법을 비교 분석한 내용입니다. AI가 기술과 지정학적 지도를 재편할 가능성이 높아 투자자들에게 중요한 인사이트를 제공합니다.

본문 1: 미국의 자본 집약적 AI 전략

OpenAI와 Broadcom, AMD, Nvidia 간의 계약은 AI 인프라 구축을 위한 전력 수요가 26기가와트에 달할 것으로 예상됩니다. 이는 미국 기업들이 AI 경쟁에서 기술적 우위를 확보하기 위해 막대한 자원을 투입하고 있음을 보여줍니다. 특히 AMD의 주가 37% 급등은 AI 수요 증가에 따른 반도체 기업들의 성장 가능성을 반영한 것입니다. 이는 미국 기업들이 AI 분야에서 지속적인 투자와 혁신을 통해 시장 점유율을 확대할 전망입니다.

본문 2: 중국의 자립적 AI 생태계 구축

중국은 미국의 제재로 인해 고급 기술에 접근하기 어려워지자 자체 반도체 및 AI 기업을 육성하는 전략을 선택했습니다. 이는 글로벌 공급망에 영향을 미칠 수 있으며, 중국의 기술 자립화 노력은 장기적으로 AI 산업의 경쟁 구조를 변화시킬 가능성이 있습니다. 특히 중국 기업들이 AI 응용 프로그램을 대량으로 출시하며 시장 점유율을 확대할 수 있는 가능성이 있습니다.

본문 3: AI 경쟁의 장기적 영향

AI 경쟁은 기술적 우위뿐만 아니라 지정학적 영향력도 고려해야 합니다. 미국의 자본 집약적 전략과 중국의 자립적 접근법이 AI 발전 속도에 어떻게 영향을 미칠지 주목해야 합니다. 또한, AI 기술의 발전이 글로벌 공급망과 시장 구조에 미치는 영향도 장기적으로 분석해야 할 필요가 있습니다.

결론

이 기사는 AI 경쟁이 기술과 지정학적 지도를 재편할 가능성을 보여줍니다. 미국의 자본 집약적 전략과 중국의 자립적 접근법이 AI 발전 속도에 미치는 영향이 중요할 전망입니다. 투자자들은 AI 산업의 동향을 지속적으로 모니터링하며 전략적 결정이 필요합니다.

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원문 링크: https://news.google.com/rss/articles/CBMingFBVV95cUxOTWJCcXlqdnRRMVR5YnZRNGNMTTEyYV9LT1NYQkZPakxwdk5ocW40MjVSUGd6OUFNVUxZVWs1VFhuMFFTbVRkSWFSYmlpTlVUNFVaeFZnM1FRMWJiUWQxN1NSVzBPZFE0b2NBTmhzeHEyWkJNV3paQ21OVTQxQTBRUm0zRW1xc055VDJJR2trb1VxcHo4TXRZck9PWThhdw?oc=5

US and Chinese chipmakers tread different paths in AI gold rush - ThinkChina

As the global AI race heats up, US chipmakers are ramping up spending while China’s tech giants race to overcome sanctions with a self-sufficiency playbook — two divergent strategies chasing the same prize. Which path will define the future of artificial intelligence?

(By Caixin journalists Liu Peilin and Han Wei)

A global race to dominate artificial intelligence (AI) is driving an unprecedented semiconductor spending spree, pitting America’s strategy of massive capital investment against China’s urgent push for self-sufficiency in the face of US sanctions. The chase for AI supremacy has turned chipmakers in both countries into red-hot investment targets.

Over the past month, US-based OpenAI, the world’s largest AI startup, has signed procurement deals with three semiconductor giants — Broadcom Inc., Advanced Micro Devices Inc. (AMD), and Nvidia Corp. The combined orders carry a staggering combined power requirement of 26 gigawatts, enough electricity to power nearly three New York Cities at peak demand. It is a testament to the brute-force, capital-intensive strategy the US is deploying to win the AI race.

While Washington is leveraging deep capital markets to fund its technical dominance, China — increasingly cut off from top-tier American technology — is taking a pragmatic path of domestic substitution. It is building a self-reliant ecosystem and rolling out AI applications at scale. A new generation of homegrown chipmakers and AI firms is emerging, reshaping global supply chains in the process.

The central question now facing the industry is which path will lead to the shores of artificial general intelligence, or AGI, first — a race that is likely to define the technological and geopolitical landscape for decades to come.

Wall Street has embraced the American strategy enthusiastically. Broadcom shares jumped nearly 10% on the day its deal was announced, AMD soared 37%, and Nvidia gained 3.93%. Nvidia — the dominant AI chip supplier over the past two years — has seen its market value climb to US$4.42 trillion, making it the world’s most valuable publicly traded company. AMD is now valued at around US$378 billion, while Broadcom’s market capitalisation has risen 50% this year to US$1.63 trillion.

Driving OpenAI’s chip appetite is its Stargate initiative — a US$500 billion infrastructure project. In January, OpenAI announced plans to partner with Oracle Corp. and SoftBank Group Corp. to build data centres totalling 10 GW of capacity across the US over the next five years. On 1 October, it struck a deal with South Korea’s Samsung Electronics Co. and SK Hynix Inc. to expand high bandwidth dynamic random-access memory (DRAM) chip production to 900,000 chips per month to support the initiative.

However, the rush has raised concerns about potential “circular deals”, in which suppliers such as Nvidia and AMD indirectly fund AI companies to drive demand for their own products. These arrangements, reminiscent of the dot-com era, could inflate both demand and investor expectations. Research firms warn that this structure may be building an AI infrastructure bubble.

The current US bull market, sparked by the October 2022 release of ChatGPT, has driven the S&P 500 up nearly 90%, propelled by tech titans such as Apple, Microsoft, Alphabet, Amazon and Nvidia — all of which have dramatically increased AI-related capital spending.

Across the Pacific, China’s AI drive is rooted in the pursuit of technological self-sufficiency to close the widening supply gap. A July report from Bernstein estimated China’s 2025 AI chip demand at US$39.5 billion. At the time, it projected that a resumption of Nvidia’s H20 chip sales to the Chinese mainland would narrow the gap to just US$2.5 billion. Those sales never materialised, however, due to regulatory obstacles on both sides.

As a result, China’s supply gap for AI chips is now expected to balloon to over US$10 billion in 2025, with domestic substitution becoming the only viable path forward.

“At the moment, we’re 100% out of China,” Jensen Huang, Nvidia’s CEO, said at a recent Citadel Securities event, noting that US export controls had slashed the company’s Chinese market share from 95% to zero.

As Washington tightens export restrictions, Beijing is intensifying efforts to bridge the technology gap, turning domestic substitution from a policy objective into a market necessity. The result has been an investment boom.

Chinese AI chipmakers have become investor darlings. Companies viewed as potential mass producers have been dubbed “China’s Nvidia” or “China’s AMD”, pushing their valuations skyward and accelerating IPO plans.

Cambricon Technologies Corp. — the only publicly listed AI chipmaker on China’s A-share market — soared after securing a major order from ByteDance Ltd., briefly becoming the country’s most expensive stock. The company’s revenue jumped more than 43 times to 2.88 billion RMB (US$404 million) in the first half, marking its first-ever quarterly profit.

“The market was shocked by Cambricon, and now everyone is looking for the next star like it,” one investor told Caixin.

One frontrunner is Moore Threads Technology Co. Ltd., a five-year-old GPU startup fast-tracking its path to go public on Shanghai’s STAR Market with plans to raise 8 billion RMB. Although the IPO is still in progress, speculation has pushed up the shares of several firms with minor links to Moore Threads surged — such as CNCR Group, which holds a mere 0.02% stake but gained more than 56% in three days.

“China’s AI chip industry is accelerating under competitive pressure from the US,” said a person familiar with Moore Threads. “But the company is still in its growth stage. Investors should be patient and avoid excessive hype.”

Established tech giants are also intensifying in-house chip development. At a September conference, Huawei Technologies Co. Ltd. unveiled a three-year AI chip strategy to double computing power each year to meet China’s national AI needs — a move widely seen as a direct challenge to Nvidia.

Baidu Inc. has advanced with its Kunlunxin chip unit, deploying a 30,000-card cluster. Alibaba Group Holding Ltd.’s chip unit, T-Head, has developed a processor reportedly matching Nvidia’s H20. These gains have reignited investor enthusiasm, sending Baidu and Alibaba’s Hong Kong-listed shares up 50% and 54%, respectively, since September.

“Critics say the rally lacks earnings support. But markets haven’t seen such a clear growth story in years,” a tech executive told Caixin. “Whether valuations are justified depends on actual demand.”

A recent report by Bain & Co. estimates that by 2030, global capital expenditure on AI data centres will reach US$500 billion a year, requiring 200 GW of added power capacity — half of it in the US. But the AI sector needs to generate US$2 trillion in annual revenue to justify the outlay. For now, there’s an US$800 billion gap.

“China’s AI chip sector still faces hurdles in demand and foundry capacity,” a cloud executive told Caixin. “The market needs real applications to scale. It’s the application demand that decides everything. The American style of frantically expanding computing power is not the choice for Chinese companies.”

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Source: https://news.google.com/rss/articles/CBMingFBVV95cUxOTWJCcXlqdnRRMVR5YnZRNGNMTTEyYV9LT1NYQkZPakxwdk5ocW40MjVSUGd6OUFNVUxZVWs1VFhuMFFTbVRkSWFSYmlpTlVUNFVaeFZnM1FRMWJiUWQxN1NSVzBPZFE0b2NBTmhzeHEyWkJNV3paQ21OVTQxQTBRUm0zRW1xc055VDJJR2trb1VxcHo4TXRZck9PWThhdw?oc=5