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SoftBank Shares Tumble Amid Tech Profit Taking And High-Risk AI Investments

Market Sell-Off And Profit Taking

SoftBank Group’s share price plunged over 11% following an overnight sell-off in the U.S. market, as broader profit taking in the technology sector weighed on investor sentiment. Major Asian technology players, including TSMC and Foxconn, experienced similar declines, reflecting a cautious approach among investors despite recent gains.

High-Stakes AI Investments

Despite this short-term volatility, SoftBank’s year-to-date share price surge of approximately 70% is largely fueled by robust investor enthusiasm around its high-risk bets on artificial intelligence. Concerns persist over these aggressive investments, even as the market continues to rally on the promise of AI-driven returns.

Global Technology Landscape

In the broader market, South Korean giants such as Samsung and SK Hynix witnessed modest declines of 1.25% and 2.75%, respectively, following profit taking after surpassing key market valuations. Similarly, overnight in the U.S., semiconductor leader Nvidia fell 3.62%, while Alphabet and Amazon saw declines of 0.79% and 2.5%, respectively.

Long-Term Vision Versus Short-Term Focus

SoftBank CEO Masayoshi Son has been vocal about the transformative potential of artificial intelligence, predicting that the AI revolution could be 50 times larger than the dot-com boom of the 2000s. However, as noted in a recent investor note by Deutsche Bank analyst Peter Milliken, market enthusiasm appears narrowly fixated on short-term momentum rather than a detailed long-term roadmap.

Strategic Asset Reallocation

Adding another layer to the unfolding narrative, SoftBank recently divested a 3.25% stake in Indian eyewear maker Lenskart through its affiliate SVF II Lightbulb (Cayman). The transaction, which involved selling 56.5 million shares at 508.55 Indian rupees each (approximately $5.32 per share), valued the deal at nearly 28.73 billion rupees. Following the sale, SoftBank’s shares traded at 7,377 yen, marking an 11.3% drop.

This dynamic environment underscores the challenges of balancing aggressive, innovation-driven investments with the need for prudent risk management in volatile markets.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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