Signs of crisis or strategy? Softbank unexpectedly sells all Nvidia shares: Background and consequences

After the record high: The real reason for Softbank's sudden Nvidia sale

It's a bombshell that's shaking the financial and technology worlds: Japan's SoftBank Group, known for its aggressive and often visionary bets, has sold its entire stake in chipmaker Nvidia. For $5.83 billion, the tech investor divested itself of all shares in the company that, more than any other, represents the global AI boom and had just recently become the first company worldwide to break the magic $5 trillion market capitalization mark. The news raises a crucial question: Why would an investor like SoftBank sell its stake in the undisputed champion of the AI ​​revolution precisely at the height of its success?

But what at first glance appears to be a sign of weakness or a historical mistake—after all, founder Masayoshi Son bitterly regretted a previous sale of Nvidia—turns out, upon closer inspection, to be a strategic realignment of gigantic proportions. It's not an escape from artificial intelligence, but a leap into the heart of the action. Son no longer wants to passively participate in the success of suppliers. Instead, he's using the newly acquired liquidity to finance an even more radical vision: building his own vertically integrated AI empire. With billions invested in OpenAI, proprietary chip designs, robotics, and the construction of gigantic data centers, SoftBank is transforming itself from an investor into an active shaper of the next technological era—a high-risk bet on a future that Son calls "artificial superintelligence."

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What exactly happened?

In November 2025, Japan's SoftBank Group confirmed one of the most surprising transactions of the year in the technology sector. The company sold its entire stake in the US chip manufacturer Nvidia. The sale comprised 32.1 million shares and generated proceeds of US$5.83 billion. The transaction took place in October 2025 but was only made public with the release of the quarterly results on November 11, 2025.

The news hit the financial and technology worlds like a bombshell. Nvidia is considered the key player in the current AI boom and, in October 2025, became the first publicly traded company worldwide to reach a market capitalization of $5 trillion. Many observers wondered: Why would SoftBank, known for its aggressive technology bets, sell its stake in the world's most valuable company?

The short answer is: This is not a withdrawal from artificial intelligence, but a strategic realignment. Softbank founder and CEO Masayoshi Son intends to use the increased liquidity to make even more massive and direct investments in AI infrastructure.

What was the size of the sale and what profits did Softbank achieve?

The sale of the 32.1 million Nvidia shares took place at an average price of approximately $181 per share. SoftBank had only recently increased its stake in Nvidia. By March 2025, the company had raised its holding to over $3 billion, before liquidating it completely in October for $5.83 billion. This suggests a substantial book profit that SoftBank recorded in its second fiscal quarter.

In its quarterly report, SoftBank announced that the sale generated a profit of 222 billion yen, equivalent to approximately 1.2 billion euros. This gain was part of an exceptionally successful quarter for SoftBank overall. The company reported a net profit of 2.5 trillion yen, approximately 16.2 billion US dollars, for its second fiscal quarter, which ended on September 30, 2025. This was its highest quarterly profit in three years.

However, it's important to note that the Nvidia sale itself only took place in October and therefore did not directly contribute to the quarterly profit. The lion's share of the profit came from valuation gains on the investment in OpenAI. The OpenAI investment alone brought Softbank a book profit of 2.16 trillion yen in the second quarter, equivalent to approximately 14 billion US dollars.

Why is Softbank selling its Nvidia shares right now?

The decision to sell may seem contradictory at first glance. Nvidia is in the midst of an unprecedented growth cycle. The company is profiting enormously from the global AI boom; its high-performance chips are indispensable for training and running large language models. The share price has multiplied several times over in recent years. So why sell?

SoftBank's CFO, Yoshimitsu Goto, explained the strategy, saying: “We want to offer investors numerous investment opportunities while maintaining our financial strength. We use the sales so that the capital can be used for our financing.” This, he said, is a strategy of “asset monetization.”

Analysts interpreted the move as a necessary way to raise capital for even greater ambitions. Rolf Bulk of New Street Research emphasized that the sale was “not a cautious stance towards Nvidia,” but rather necessary to finance up to $30.5 billion in planned AI investments. Masayoshi Son aims to position SoftBank as the central platform for next-generation AI infrastructure.

The 68-year-old Son firmly believes in a future he calls “Artificial Super Intelligence” (ASI) – an artificial intelligence that will far surpass humans. “I was born to make ASI a reality,” he declared at a shareholders’ meeting in June 2024. For this vision to be realized, SoftBank needs massive investments in various areas of the AI ​​value chain.

Where exactly does the money from the Nvidia sale go?

The proceeds from the Nvidia sale, as well as from other divestitures, will be invested in an ambitious portfolio of AI projects. This strategy can be described as a transition from passive equity investment to actively shaping the AI ​​landscape. Instead of merely profiting from Nvidia's success as a supplier, Softbank now intends to invest directly in the development of AI models, chip production, and infrastructure development.

The most important investment goals are, firstly, a planned total investment of $30 billion in OpenAI, the developer of ChatGPT. Secondly, the acquisition of chip designer Ampere Computing for $6.5 billion. Thirdly, participation in the Stargate project, a gigantic data center program in the USA. Fourthly, the acquisition of ABB's robotics division for $5.375 billion. And fifthly, plans for a $1 trillion AI manufacturing center in Arizona.

These investments demonstrate a clear strategy: SoftBank aims to cover the entire artificial intelligence value chain – from chip production and data centers to AI models and their application in robotics. It's a bet that vertical integration will be the key to success in the AI ​​industry of the future.

What exactly are Softbank's plans for OpenAI?

OpenAI, the company behind ChatGPT, is at the heart of SoftBank's AI strategy. Since March 2025, SoftBank has already invested $7.5 billion in OpenAI. In October 2025, the company announced plans to increase this investment to a total of $30 billion.

The investment will be made in two tranches. The first tranche of $10 billion was completed in the first quarter of fiscal year 2025/2026, with $2.5 billion syndicated to co-investors and the remaining $7.5 billion invested through Vision Fund 2. For the second tranche, scheduled for completion in December 2025, SoftBank plans to invest $22.5 billion entirely through Vision Fund 2.

OpenAI was valued at $260 billion in this funding round. The valuation is expected to rise to $300 billion by the end of the year, which would make OpenAI the world's most valuable startup. However, SoftBank's investment was contingent on certain conditions. Originally, the full amount was only to be disbursed if OpenAI transitioned to a purely for-profit structure by December 31, 2025. Otherwise, the sum would have been reduced to $20 billion. OpenAI has since completed a recapitalization and remains a non-profit organization with a controlling stake in its for-profit subsidiary, OpenAI Group PBC.

For SoftBank, the OpenAI investment has already proven exceptionally profitable. In the second fiscal quarter, the company recorded an unrealized valuation gain of 980.5 billion yen and a derivative gain of 1.176 trillion yen from its OpenAI stake. Total profits from OpenAI for the quarter amounted to 2.16 trillion yen, approximately US$14 billion.

What other major investments does Softbank plan in the field of AI?

In addition to OpenAI, SoftBank is pursuing several parallel investment strategies. The acquisition of Ampere Computing for $6.5 billion is a key component. Ampere was founded in 2017 and develops server processors based on the ARM architecture. The previous main investors, the private equity firm Carlyle with 59.65 percent and Oracle with 32.27 percent, sold their shares to SoftBank.

Masayoshi Son explained the acquisition: “The future of artificial superintelligence requires groundbreaking computing power. Ampere’s expertise in semiconductors and high-performance computing will help accelerate this vision and strengthen our commitment to AI innovation in the United States.” Ampere processors are used by companies including Google Cloud, Microsoft Azure, and Oracle Cloud.

The transaction is expected to close in the second half of 2025. Upon completion, Ampere will retain its name and operate as a wholly owned subsidiary of Softbank. However, figures released in connection with the acquisition paint a problematic picture: Ampere had virtually no customers and generated almost no revenue in 2024, while accumulating losses in the high hundreds of millions.

Another important step is the acquisition of ABB's robotics division for US$5.375 billion. ABB Robotics primarily manufactures industrial, service, and transport robots, some of which incorporate artificial intelligence. With this purchase, SoftBank becomes the world's second-largest manufacturer of industrial robots, after the Japanese company Fanuc.

Masayoshi Son explained: “SoftBank’s next frontier is physical AI.” The acquisition is intended to help merge artificial superintelligence with robotics. SoftBank plans to leverage ABB Robotics’ technology and expertise, along with other SoftBank robotics companies such as SoftBank Robotics, Berkshire Grey, AutoStore Holdings, Agile Robotics, and Sklid AI, to drive new innovations.

What is the Stargate project and what role does Softbank play in it?

The Stargate project is one of the most ambitious initiatives in the field of AI. US President Donald Trump announced the project in January 2025 together with leading technology executives at the White House. OpenAI, Oracle, and Softbank plan to jointly invest up to $500 billion within four years in new data centers for artificial intelligence in the US.

Initially, $100 billion will be invested in the joint venture. SoftBank will be responsible for the finances, while OpenAI will have operational responsibility. ARM, Microsoft, Nvidia, and Oracle are the key initial technology partners. The project is expected to create 100,000 to 25,000 jobs in the US.

In September 2025, the partners announced the construction of five new AI data centers. Oracle will establish three new sites in Shackleford County, Texas; Ana County, New Mexico; and at a still-undisclosed location in the Midwest. SoftBank will contribute two additional sites in Lordstown, Ohio, and Milam, Texas. Both SoftBank sites are slated to be expanded to a capacity of 1.5 gigawatts within 18 months.

Following the expansion, Stargate's planned total capacity will increase to nearly 7 gigawatts, while the investment will grow to over $400 billion. The overall goal is 10 gigawatts over the next four years. OpenAI CEO Sam Altman emphasized: “AI can only reach its full potential when the necessary computing power is available. It is the key to AI flourishing and enabling breakthroughs.”

Masayoshi Son added: “Stargate combines our innovative data center design with our expertise in the energy sector to deliver the scalable performance that powers the future of AI. Together with OpenAI and our Stargate partners, we are paving the way for a new era in which AI brings progress to humanity.”

However, there are also reports of implementation difficulties. In July 2025, Manager Magazin reported that the $500 billion AI project was struggling to get off the ground. Instead of immediately starting construction of a gigabit data center, the plans were apparently scaled back.

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How did the financial markets react to the sale?

The immediate market reaction to the news of the Nvidia sale was mixed. Nvidia shares fell by over 1.6 percent in pre-market trading on the day of the announcement, November 12, 2025, and closed the trading day down by almost 3 percent. This countered a strong rally the previous day, which had been fueled by hopes for an end to the US government shutdown.

However, the reaction remained muted. Analysts emphasized that the sale should not be interpreted as a negative signal for Nvidia, but rather reflected SoftBank's need for capital to fuel its own AI ambitions. UBS confirmed its price target for Nvidia at $235, which was significantly above the current trading level.

Interestingly, Softbank's stock itself reacted much more negatively. On Wednesday, following the announcement, the stock temporarily plunged by up to ten percent on the Tokyo Stock Exchange. It recovered slightly during the day, but was still trading down by more than two percent at the end of the day. This reaction was surprising, given that Softbank simultaneously reported record profits.

The negative reaction of Softbank's stock could have several reasons. Firstly, the lack of explanation from Masayoshi Son created uncertainty among investors and market analysts. Secondly, concerns about high valuations in the AI ​​sector and the question of who will ultimately benefit from the enormous investments in data centers and infrastructure may have played a role.

In the longer term, however, Softbank's stock performed very well in 2025. The hype surrounding AI drove the stock up by almost 150 percent. The stock market increasingly values ​​Softbank as an AI stock and no longer just as an investment company.

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Does Softbank still have a connection to Nvidia despite the sale?

Although SoftBank has completely liquidated its direct equity stake in Nvidia, the company remains closely intertwined with Nvidia indirectly. SoftBank's own AI ventures, particularly the Stargate project and its investments in OpenAI, continue to rely on Nvidia's advanced chips.

OpenAI, in which Softbank has invested heavily, uses Nvidia GPUs extensively for training its large language models. The planned data centers for the Stargate project are also expected to be equipped with Nvidia hardware. Demand for Nvidia's new Blackwell chips is so high that the company has warned of potential supply shortages.

Furthermore, Softbank holds a majority stake in ARM Holdings, the British chip designer. ARM licenses chip architectures that are also used in Nvidia's processors. The connection between Softbank and Nvidia therefore continues indirectly through ARM.

Softbank also plans to further develop ARM towards direct chip production. ARM aims to begin mass production of specific AI chips as early as 2025, thereby entering into direct competition with Nvidia and AMD. This could even lead to a competitive situation in the long term.

The strategic rationale behind the sale becomes clearer: Instead of passively participating in Nvidia's success as a shareholder, Softbank now wants to actively play a role in the AI ​​ecosystem and generate its own added value. The dependence on Nvidia chips remains, but Softbank is now positioning itself as both a customer and a potential competitor.

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What role does the historical perspective play in this decision?

The historical dimension makes the current decision particularly explosive. It's not the first time SoftBank has divested its Nvidia shares – and the previous attempt went spectacularly wrong. In 2019, SoftBank sold its then-current stake of around 4.9 percent in Nvidia for approximately $3.6 billion. At that time, SoftBank was temporarily Nvidia's largest shareholder.

Between 2017 and 2019, the Vision Fund invested roughly $700 million to $4 billion in Nvidia and then sold its shares for $3.3 billion. Masayoshi Son later publicly regretted this sale. In retrospect, this move is considered one of the biggest blunders in recent investment history. Had SoftBank retained the shares, they would be worth many times more today.

The lost profit is estimated at around 150 to 200 billion US dollars. The irony is bitter: Masayoshi Son sold Nvidia just before the AI ​​boom really took off and the stock experienced a meteoric rise. A YouTube video summarized the mistake as follows: “He sold NVIDIA just before the AI ​​boom, invested billions in WeWork after a 12-minute visit, and supported startups that burned through money without any tangible results.”

Son himself commented humbly on this mistake: “I am ashamed that I was so pleased with large profits in the past.” The 2019 sale of Nvidia is symbolic of Masayoshi Son’s high-risk, often flawed investment strategy, characterized by spectacular successes like Alibaba as well as disastrous failures like WeWork.

What were Softbank's biggest investment mistakes?

To understand the current strategy, one must look at SoftBank's past. The company's investment history is characterized by extreme swings between triumph and disaster. Its greatest success was undoubtedly the investment in Alibaba. In 2000, Masayoshi Son invested $20 million in Jack Ma's then completely unknown Chinese e-commerce startup. This investment was worth $74 billion at Alibaba's IPO in 2014 – a 3,700-fold increase.

But on the other hand, there have been massive failures. The most spectacular was WeWork. SoftBank invested a total of more than $10 billion in the office space provider. In 2017, Son invested $4.4 billion, followed by billions more later. WeWork's valuation rose to $47 billion. But the planned IPO failed spectacularly in 2019, and the valuation plummeted to between $7.8 and $2.9 billion.

SoftBank's total losses from WeWork are estimated at $11.5 billion in equity losses plus an additional $2.2 billion in debt. WeWork filed for bankruptcy in November 2023. Masayoshi Son had made the investment after a mere 12-minute site visit and pushed Adam Neumann, the charismatic but troubled founder, toward rapid growth.

Other failures included investments in View, a smart glass manufacturer, where $1.1 billion was invested and the company is now worth less than $50 million. Uber, Didi, OneWeb, Zume Pizza, and Katerra also proved to be problematic investments.

These failures led to massive losses. In the 2019/2020 fiscal year, Softbank reported an operating loss of almost €12.1 billion – its first quarterly loss in 14 years. In the first quarter of 2020, losses even reached US$24 billion, of which US$17 billion came from the Vision Fund.

How successful is the Vision Fund really?

The SoftBank Vision Fund, established in 2017 with $100 billion in assets, is the largest technology investment fund of its kind. The majority of its capital comes from external investors, notably $45 billion from the Saudi Public Investment Fund. The fund's performance is highly volatile and difficult to assess.

In good quarters, the Vision Fund reports spectacular profits. In the December quarter of 2020, the fund achieved a record profit of 844.1 billion yen, approximately 8 billion dollars, driven by IPOs of companies such as DoorDash and Uber. In the second quarter of 2025, the Vision Fund unit recorded an investment profit of 3.5 trillion yen, primarily from its stake in OpenAI.

However, the track record over the years is mixed. In May 2020, SoftBank reported that 47 investments in its Vision Fund, representing 64 percent of its portfolio, had to be written down – one of the largest write-downs in private equity history. Vision Fund 1 has generated a cumulative profit of $32.8 billion since its inception, while Vision Fund 2 has accumulated a loss of $9.1 billion.

In total, the Vision Fund has invested in 131 companies. Masayoshi Son argues that with a typical early-stage venture capital fund, perhaps a third of the bets pay off, but with SoftBank's portfolio of late-stage startups, the success rate should be higher. Between 10 and 20 portfolio companies are expected to go public annually.

Criticism of the Vision Fund focuses on SoftBank's tendency to inflate valuations and give founders more money than they asked for. This led to artificially high valuations and hubris that preceded the eventual collapse. Economist Aswath Damodaran criticized: "Venture capital should consist of small bets, and he made it huge."

What other assets did Softbank sell?

The Nvidia sale was not SoftBank's only major divestment of shares in recent months. The company also sold stakes in T-Mobile US, a subsidiary of Deutsche Telekom. Between June and September 2025, SoftBank sold 40.2 million T-Mobile shares for a total of $9.17 billion.

In June 2025, Softbank sold another block of 21.5 million T-Mobile shares for approximately $4.8 billion at $224 per share. According to T-Mobile, Deutsche Telekom held just under 59 percent of the shares at the end of March 2025, while Softbank held 7.5 percent. These sales likely significantly reduced Softbank's stake.

T-Mobile shares fell nearly 4 percent in after-hours trading in the US following the announcement of the sales. Deutsche Telekom shares also declined in pre-market trading. Traders said the sales were no surprise, as it was known that Softbank needed capital for its AI projects.

In total, SoftBank raised approximately $15 billion from the combined sales of its Nvidia and T-Mobile shares. Sales also took place at Alibaba, SoftBank's largest asset. In 2020, SoftBank announced plans to reduce its Alibaba stake by nearly €11 billion to generate liquidity during the COVID-19 crisis.

This sales strategy demonstrates that Masayoshi Son is currently liquidating many holdings to further develop his own network of AI assets. It represents a strategic shift from investments in established tech companies to direct investments in AI infrastructure and emerging technologies.

How is Softbank financing these gigantic investments?

SoftBank's planned investments amount to astronomical sums: $30 billion for OpenAI, $6.5 billion for Ampere Computing, $5.375 billion for ABB Robotics, plus stakes in the Stargate project and other ventures. How is SoftBank financing this aggressive expansion program?

Firstly, through the monetization of existing assets, such as the sale of Nvidia shares and T-Mobile stakes. Secondly, through the strong profits of the Vision Fund, particularly from the OpenAI investment. In the second fiscal quarter of 2025, Softbank reported a net profit of 2.5 trillion yen.

Thirdly, through debt financing. In October 2025, Softbank issued long-term hybrid bonds worth approximately $2.9 billion in US dollars and euros. These subordinated hybrid bonds, totaling $2 billion and €750 million, are intended to finance investments in artificial intelligence, including OpenAI.

Fourth, Softbank is negotiating a $5 billion margin loan secured by shares in its chip subsidiary, ARM Holdings. Softbank has already arranged billions of dollars in bridge loans for its OpenAI investment and the Ampere acquisition.

Fifth, SoftBank leverages its existing capital structure. In November 2025, the company announced the early repayment of 177 billion yen of domestic hybrid bonds issued in 2021. This demonstrates that SoftBank actively manages and optimizes its capital structure.

The challenge lies in balancing the financing behind the new investments. Analysts have raised concerns about the high level of debt and who will ultimately benefit from the large data centers and other infrastructure currently under construction. Despite impressive profits, SoftBank remains heavily indebted and is classified as a junk bond by rating agencies.

What does this step mean for the global AI industry?

The sale of Nvidia and the restructuring of Softbank have far-reaching implications for the global AI landscape. First, it demonstrates the increasing importance of vertical integration in the AI ​​industry. Companies no longer just want to buy chips, but rather control the entire value chain – from chip production and data centers to the AI ​​models themselves.

Secondly, it highlights the enormous capital requirements in the AI ​​sector. Developing AI models, building data centers, and producing chips require investments in the hundreds of billions of dollars. Only a few players can raise these sums, leading to a concentration of power.

Third, it could intensify competition in the chip market. With the acquisition of Ampere and the further development of ARM into a direct chip manufacturer, Softbank could challenge Nvidia's near-monopoly in the AI ​​chip sector. Masayoshi Son argues that a competitor on equal footing with Nvidia would end the global shortage of AI processors and drive down their prices.

Fourth, it influences the geopolitical dimension of AI development. The Stargate project, with its focus on the US, and SoftBank's investments in American companies like OpenAI and Ampere strengthen the US position in the global AI competition with China. Masayoshi Son must take the Trump administration and its "America First" principle into account.

Fifth, it illustrates the role of mega-investors in shaping the technological future. Softbank and Masayoshi Son make investment decisions that will determine the direction of AI development for years to come. The question is whether this concentration of decision-making power in the hands of a few investors is desirable.

What risks does Softbank's aggressive strategy entail?

Masayoshi Son's strategy is high-risk and could fail. First, there's the risk of an AI bubble. Valuations of AI companies like OpenAI are extremely high and based on expectations of future profits that may not materialize. If the AI ​​bubble bursts, Softbank's investments could lose massive value.

Secondly, competition in the AI ​​field is intense. Large tech companies like Microsoft, Google, and Amazon are also investing billions in AI. It's unclear whether Softbank, with its investments in OpenAI, Ampere, and other companies, can compete against these established players. ARM, as a chip manufacturer, has to prevail against Nvidia and AMD, which presents an enormous challenge.

Third, Masayoshi Son has a history of spectacular miscalculations. The WeWork blunder, which cost over $10 billion, is still fresh in everyone's mind. The 2019 sale of Nvidia, which cost $150 to $200 billion in lost profits, shows that Son can also be wrong when betting on technology. Now he's selling Nvidia again—will history repeat itself?

Fourth, Softbank's debt is a cause for concern. Despite strong profits in the most recent quarter, the company is heavily indebted and relies on a continuous influx of capital. If the Vision Fund investments fail to deliver the expected returns, Softbank could face financial difficulties.

Fifth, there are operational risks. The Ampere acquisition shows that the company had hardly any revenue in 2024 and posted significant losses. ABB's robotics division also struggled with problems, which was the reason for its sale. SoftBank is therefore acquiring some problematic assets and must successfully restructure and integrate them.

Vertical integration instead of equity participation: Softbank's roadmap to superintelligence

SoftBank's surprise sale of all its Nvidia shares marks a turning point in the Japanese technology investor's strategy. It's not a departure from artificial intelligence, but rather an even more aggressive bet on the future of AI. Masayoshi Son is transforming SoftBank from a passive investor into an active shaper of the AI ​​landscape.

The proceeds from the Nvidia sale and other divestitures are being channeled into an unprecedentedly ambitious portfolio: $30 billion for OpenAI, billions for chip manufacturers and robotics companies, and hundreds of billions for data centers. Son is pursuing the vision of an artificial superintelligence that will far surpass human intelligence.

Whether this strategy will succeed will become clear in the coming years. Masayoshi Son's track record is mixed – spectacular successes like Alibaba stand alongside disastrous failures like WeWork. The 2019 sale of Nvidia, which cost between $150 and $200 billion in lost profits, serves as a cautionary tale.

The irony of the current situation is obvious: SoftBank is selling the biggest beneficiary of the AI ​​boom in order to become a beneficiary itself. It's a bet that vertical integration and direct control over the AI ​​value chain will be more profitable than an equity stake. Only time will tell whether Masayoshi Son is right or whether he's making another historic mistake. The markets and the tech world are watching this development with both excitement and skepticism.

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