Sou Hu Cai Jing·2025-11-14 05:30Core Insights - SoftBank sold its last shares of Nvidia in October 2024 for $5.83 billion, indicating a strategic shift rather than a simple cash-out [1][3] - The company reported a net profit of 2.502 trillion yen for Q2 2024, significantly exceeding market expectations [1] Financial Performance - The Vision Fund generated 2.755 trillion yen in profits during the same quarter, becoming a key contributor to SoftBank's financial success [3] - The sale of Nvidia shares involved offloading 32.1 million shares, with the cash proceeds earmarked for larger investments [3] Strategic Moves - SoftBank plans to invest $22.5 billion in OpenAI through its second Vision Fund, part of a broader goal to invest approximately $30 billion in the AI sector [3][5] - The company has already seen returns of 2.157 trillion yen from its early investments in OpenAI, highlighting the success of this strategy [5] Future Projects - Plans include building a $1 trillion AI manufacturing center in Arizona, showcasing ambitious growth targets [5] - There are rumors of a potential acquisition of chip design company Ampere Computing for around $6.5 billion, which would contrast with the Nvidia sale [5] Technological Initiatives - SoftBank aims to deploy 1 billion AIAgents across its operations, which are expected to enhance efficiency through automation [6] - These AIAgents will possess self-learning capabilities, potentially transforming customer service, data analysis, and operational optimization [6] Market Reaction - SoftBank's stock surged 78% in the three months ending September 2024, marking its best quarterly performance since December 2005 [6] - There are mixed sentiments on Wall Street regarding SoftBank's valuation, with concerns about transitioning from a low-cost AI exposure to a high-risk valuation model [6] Long-term Outlook - The sale of Nvidia shares is viewed as a strategic move to consolidate liquidity for future investments in AI infrastructure and projects [7][9] - The success of SoftBank's ambitious plans will depend on effective execution and overcoming challenges related to funding, technology implementation, and regulatory compliance [9][10]