**AI Chip War Heats Up: Nvidia’s Game Plan**





Current Semiconductor Market Trends: Nvidia, Broadcom, and AI Semiconductor Investment Outlook

  • The difference in stock price trends between Nvidia (GPU) and Broadcom (ASIC) is due to the AI semiconductor market moving towards a 'front-loaded investment, back-loaded profit' stage.
  • Nvidia's investments in GPUs required for data centers and AI learning have already reached a significant level. However, it is unclear whether investments will continue to increase at the same rate this year as last year.
  • On the other hand, Broadcom is now entering a period of performance growth due to the growth of ASIC semiconductors in the AI market.

Nvidia's Strategy Shift

  • Nvidia, which was previously focused on AI infrastructure (hardware), is recently trying to expand into software and AI platforms.
  • At CES 2024, the company unveiled AI agents and robot technology, evolving from a simple chip manufacturer to an AI system solutions company.
  • This is a strategy similar to Apple's growth model, which shifted from hardware (iPhone) to services and the App Store platform.

DeepSeek and Potential Changes in the AI Semiconductor Business

  • After the recent release of the AI model 'DeepSeek,' LLMs (Large Language Models) may become commoditized.
  • The AI semiconductor market is in the process of shifting from a GPU-centric market to an ASIC (application-specific integrated circuit)-based market.
  • This is likely to accelerate the development of in-house chips by traditional Big Tech companies.

AI Platform vs. Hardware Competition

  • The areas of AI hardware (semiconductors) and AI platforms (B2B and B2C services) are being separated, and the competitive landscape is changing.
  • Examples:
    • Tesla (Autonomous Driving and Robots): A leading company that physically utilizes AI.
    • Nvidia (AI Chips): Building infrastructure for platform companies to use.
    • Microsoft, Google, Meta (AI Platforms): Developing cloud and AI software services.

Korean Semiconductor Companies' (SK Hynix, Samsung Electronics) AI Growth Strategies

  • SK Hynix plays an important role in the AI GPU market based on HBM (High Bandwidth Memory).
  • Samsung Electronics is also attempting to cooperate with OpenAI and Google to participate as a major player in the AI semiconductor market.
  • As AI models expand, the demand for memory semiconductors is likely to continue to grow.

Future AI Semiconductor Market Outlook

  • Big Tech companies' investments in AI semiconductors will continue, and efficient investment will be more important than worrying about a slowdown in semiconductor demand.
  • In the short term, companies like Broadcom may be dominant as the ASIC-based market grows.
  • However, in the long term, companies with AI platforms are likely to create more value.
  • As AI semiconductor technology advances, Samsung Electronics and SK Hynix are also expected to strengthen cooperation with platform companies.

< Summary >

  • The AI semiconductor market is developing into a 'front-loaded investment, back-loaded profit' structure, and ASIC-based semiconductors like Broadcom are likely to receive more attention for the time being than Nvidia.
  • Nvidia is transitioning from a simple hardware manufacturer to an AI platform and software company.
  • With the emergence of OpenAI's DeepSeek, the possibility of LLM commoditization is increasing, and the areas of AI hardware and software are expected to become more segmented.
  • Korean semiconductor companies (SK Hynix, Samsung Electronics) are strengthening their positions in the ecosystem by strengthening cooperation with AI semiconductors and AI platforms.
  • In the AI semiconductor market, software and service companies with high potential for monetization are expected to receive increasingly higher valuations.

[More…]

*YouTube Source: [이효석아카데미]


– 지금 엔비디아를 대하는 시장의 판단, 아주 냉철하고 정확합니다ㅣ최도연 SK증권 센터장 [풀영상]



Trump, Bitcoin, and the Strategic Choices of the United States

1. Trump's Past Bitcoin Disparaging Remarks

  • In 2017, when Trump was elected, he described Bitcoin as a "worthless asset that threatens the dollar."
  • At this time, China held most of the Bitcoin.
  • China recognized Bitcoin as a strategic asset.

2. The Shift in U.S. Stance and Bitcoin Accumulation

  • Initially, the U.S. was negative on Bitcoin to prevent dollar outflows and foreign currency leakage.
  • However, over time, the U.S. began to accumulate Bitcoin explosively.
  • Furthermore, it decided to recognize and utilize Bitcoin as a national strategic asset.

3. China's and BRICS' Response

  • China chose a strategy of continuously increasing its gold reserves as the dollar hegemony is reset.
  • BRICS countries are building an economic network centered around gold.
  • However, in the long term, China is also likely to pay attention to the strategic value of Bitcoin.

4. Future Prospects of Bitcoin

  • Currently, the value of gold is primarily attracting attention.
  • However, as blockchain technology and the financial paradigm move from off-chain to on-chain, Bitcoin's influence will continue to increase.
  • In the long term, Bitcoin is likely to become a more powerful asset in the global economic system.

< Summary >

The U.S. was initially negative on Bitcoin but strategically began to accumulate it and recognized it as a national asset. On the other hand, China maintains a strategy that values ​​gold, but in the long term, it may also seek to secure Bitcoin hegemony. As the global economic flow moves on-chain, Bitcoin's influence is expected to continue to increase.


[More…]

🔗 Bitcoin and Changes in Global Economic Hegemony
👉 https://nextgeninsight.net/?s=Bitcoin

🔗 The Role of US Financial Strategy and Bitcoin
👉 https://nextgeninsight.net/?s=UnitedStates

*YouTube Source: [Jun’s economy lab]


– 트럼프가 비트코인에 진심인 이유

 Current Semiconductor Market Trends: Nvidia, Broadcom, and AI Semiconductor Investment Outlook Differences in Stock Price Trends between Nvidia and Broadcom The difference in stock price trends between Nvidia (GPU) and Broadcom (ASIC) is due to the AI semiconductor market moving towards a 'front-loaded investment, back-loaded profit' stage. Nvidia's investments in GPUs required for data…

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