nvidia's

根據最新披露的 2025 年第四季持倉變動，日本科技巨頭 SoftBank Group 在投資組合上出現明顯調整。最受市場關注的是，公司大幅減持 AI 核心概念股 NVIDIA，同時加碼兩檔與加密資產生態相關的公司，顯示創辦人孫正義在 AI 與數位金融之間重新配置風險與成長部位。#孫正義
$BTC
從減持金額來看，軟銀第四季最大的操作集中在科技權值股，Q4 最大減持是賣出逾 59.91 億美元的輝達 (NVIDIA)。其次是賣出 33.85 億美元的 T-Mobile US，以及 1.91 億美元的 Metsera、1.88 億美元的 Lemonade、3,392 萬美元的 Inter & Co。
其中，減碼輝達的規模遠高於其他個股，顯示軟銀在 AI 基礎設施概念股經歷 2025 年大幅上漲後，開始進行獲利了結或風險再平衡。市場普遍解讀，此舉並非看空 AI 長期趨勢，而是反映大型機構在高估值環境下的部位管理策略。#Nvidia's

According to the latest disclosure of portfolio changes for the fourth quarter of 2025, Japanese tech giant SoftBank Group#SoftBank made significant adjustments to its investment holdings. The most notable move was a substantial reduction in its position in AI bellwether NVIDIA, while increasing its exposure to two companies related to the crypto asset ecosystem. This suggests that founder Masayoshi Son is reallocating risk and growth exposure between AI and digital finance.

In terms of the scale of reductions, SoftBank’s largest move in Q4 focused on major technology holdings. The biggest divestment was the sale of more than $5.991 billion worth of NVIDIA shares. This was followed by the sale of $3.385 billion in T-Mobile US, $191 million in Metsera, $188 million in Lemonade, and $33.92 million in Inter & Co.
Among these, the reduction in NVIDIA was significantly larger than any other position, indicating that after the sharp rally in AI infrastructure-related stocks in 2025, SoftBank began taking profits or rebalancing risk. The market generally interprets this move not as a bearish signal on the long-term AI trend, but rather as a reflection of large institutional portfolio management strategies in a high-valuation environment.#AI

🚀 Key Insights from NVIDIA’s $4T CEO
✅ Career Advice: Huang says he’d focus on physical sciences (physics, chemistry, astronomy) over software if starting today
✅ Next AI Wave: Bullish on "Physical AI" – blending AI with real-world systems (robotics, materials science, quantum computing)
✅ NVIDIA’s Rise: From Denny’s startup to world’s first $4T company
✅ AI Evolution:
- 1st Wave (2012): Perception AI (AlexNet, computer vision)
- 2nd Wave (Now): Generative AI (LLMs, image synthesis)
- 3rd Wave (Future): Physical AI (robotics, industrial automation)

🔍 Why Physical Sciences?
Huang didn’t elaborate, but clues point to:
🔹 AI + Physics = Next Frontier (e.g., AI-designed materials, quantum computing)
🔹 Robotics Revolution – NVIDIA’s Isaac AI already powers autonomous machines
🔹 Energy & Climate Tech – AI-driven fusion, battery innovation

📈 NVIDIA’s Unstoppable Growth
| Milestone | Detail |
|----------------------|-----------|
| Founded | 1993 (at a Denny’s) |
| Market Cap | $4T+ (First ever) |
| Key Tech | GPUs, AI accelerators, Omniverse |
| Huang’s Degree | Electrical Engineering (OSU, Stanford) |

🌐 The Future: Physical AI
Huang’s vision for AI’s next phase:
- Smart Factories – AI optimizing manufacturing in real time
- Autonomous Labs – AI discovering new chemicals, drugs
- Climate Modeling – Predicting weather, energy systems

> "The next wave is Physical AI—where AI meets the physical world."
> — Jensen Huang

💡 Key Takeaways
✔ Tech’s future isn’t just code – Hardware + AI will dominate
✔ NVIDIA’s $4T value stems from betting early on AI infrastructure
✔ Students take note: Physics/engineering may outpace pure CS in AI era
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