Sam Altman, chief executive officer of OpenAI, during an event in Seoul, South Korea, on Friday, June 9, 2023.
SeongJoon Cho | Bloomberg | Getty Images
OpenAI is allowing employees to sell roughly $1.5 billion worth of shares in a new tender offer to SoftBank, CNBC has learned.
The new financing will allow the Japanese tech conglomerate to get an even larger slice of the AI startup, and it will allow current and former OpenAI employees to cash out their shares, two people familiar with the matter told CNBC.
Employees will have until Dec. 24 to decide if they want to participate in the new tender offer, which has not previously been reported, one of the people said. The deal was spurred by SoftBank billionaire founder and CEO Masayoshi Son, who was persistent in asking for a larger stake in the startup after putting $500 million into OpenAI’s last funding round, one of the people said.
The tender offer is not related to OpenAI’s potential plans to restructure the firm to a for-profit business, one of the people said.
OpenAI and SoftBank declined to comment.
The news underscores Son’s interest in the AI space and in backing the most valuable private players. SoftBank was an early investor in Arm, and Son said at a recent conference that he’s saving “tens of billions of dollars” to make the “next big move” in artificial intelligence. He had previously invested in Apple, Qualcomm and Alibaba.
SoftBank’s Vision Fund 2 recently invested in AI startups Glean, Perplexity and Poolside. SoftBank has about 470 portfolio companies and $160 billion in assets across its two vision funds.
The OpenAI investment matches SoftBank’s eagerness to deploy cash, with a capital-intensive business model, a person close to Son told CNBC.
Even without SoftBank’s deep pockets, OpenAI has had no trouble raising billions in cash. Its valuation has climbed to $157 billion in the two years since launching ChatGPT. OpenAI has raised roughly $13 billion from Microsoft, and it closed its latest $6.6 billion round in October, led by Thrive Capital and including participation from chipmaker Nvidia, SoftBank and others.
The company also received a $4 billion revolving line of credit, bringing its total liquidity to more than $10 billion. OpenAI expects about $5 billion in losses on $3.7 billion in revenue this year, CNBC confirmed in September with a person familiar with the situation.
OpenAI employees can cash out
The tender offer will be open to current and former employees who had been granted restricted stock units at least two years ago and have held the shares for at least that long, one of the people said. The unit price of $210 will align with the company’s most recent funding round.
Tender offers have become crucial for tech employees amid a dormant IPO market and skyrocketing company valuations. Private companies rely on such deals to keep employees happy and reduce the pressure to list on public markets. Since OpenAI has no initial public offering immediately on the horizon and a price tag that makes the company prohibitively expensive for would-be acquirers, secondary stock sales are the only way in the near future for shareholders to pocket a portion of their paper wealth.
Databricks is another private company raising money to allow employees to cash out and avoid public markets pressure, CNBC reported this week.
OpenAI took a more restrictive approach to tender offers in the past, with rules allowing the company to determine who gets to participate in stock sales, CNBC reported in June. Current and former OpenAI employees previously told CNBC that there was growing concern about access to liquidity after reports that the company had the power to claw back vested equity.
But the company reversed its policies toward secondary share sales this summer, and it now allows current and former employees to participate equally in annual tender offers.
The company expects to allow more of these secondary sales, and it will need to tap private markets again in the future based on demand from investors and the capital-intensive nature of the business, according to a person familiar with this week’s tender offer.
OpenAI has faced increasing competition from startups like Anthropic and tech giants like Google. The generative AI market is predicted to top $1 trillion in revenue within a decade, and business spending on generative AI surged 500% this year, according to recent data from Menlo Ventures.
Last month OpenAI launched a search feature within ChatGPT, its viral chatbot, that positions the high-powered AI startup to better compete with search engines like Google, Microsoft’s Bing and Perplexity.
Meta approached artificial intelligence startup Perplexity AI about a potential takeover bid before ultimately investing $14.3 billion into Scale AI, CNBC confirmed on Friday.
The two companies did not finalize a deal, according to two people familiar with the matter who asked not to be named because of the confidential nature of the negotiations.
One person familiar with the talks said it was “mutually dissolved,” while another person familiar with the matter said Perplexity walked away from a potential deal.
Bloomberg earlier reported the talks between Meta and Perplexity. Perplexity declined to comment. Meta did not immediately respond to CNBC’s request for comment.
Meta’s attempt to purchase Perplexity serves as the latest example of Mark Zuckerberg‘s aggressive push to bolster his company’s AI efforts amid fierce competition from OpenAI and Google parent Alphabet. Zuckerberg has grown agitated that rivals like OpenAI appear to be ahead in both underlying AI models and consumer-facing apps, and he is going to extreme lengths to hire top AI talent, as CNBC has previously reported.
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Meta now has a 49% stake in Scale after its multibillion-dollar investment, though the social media company will not have any voting power. Scale AI’s founder Alexandr Wang, along with a small number of other Scale employees, will join Meta as part of the agreement.
Earlier this year, Meta also tried to acquire Safe Superintelligence, which was reportedly valued at $32 billion in a fundraising round in April, as CNBC reported on Thursday.
Daniel Gross, the CEO of Safe Superintelligence, and former GitHub CEO Nat Friedman are joining Meta’s AI efforts, where they will work on products under Wang. Gross runs a venture capital firm with Friedman called NFDG, their combined initials, and Meta will get a stake in the firm.
OpenAI CEO Sam Altman said on the latest episode of the “Uncapped” podcast, which is hosted by his brother, that Meta had tried to poach OpenAI employees by offering signing bonuses as high as $100 million with even larger annual compensation packages.
“I’ve heard that Meta thinks of us as their biggest competitor,” Altman said on the podcast. “Their current AI efforts have not worked as well as they have hoped and I respect being aggressive and continuing to try new things.”
Ether ETFs have finally come to life this year after some started to fear they may be becoming zombie funds.
Collectively, the funds tracking the price of spot ether are on pace for their sixth consecutive week of inflows and eight positive week in the last nine, according to SoSoValue.
“What we’re seeing is institutional recalibration,” said Ben Kurland, CEO at crypto charting and research platform DYOR. “After the initial ETH ETF approval fizzled without a price pop, smart money started quietly building positions. They’re betting not on price momentum but on positioning ahead of utility unlocks like staking access, options listings, and eventually inflows from retirement platforms.”
The first year of ether ETFs, which launched in July 2024, has been characterized by weak demand. While the funds have had spikes in inflows, they’ve trailed far behind bitcoin ETFs in both inflows and investor attention – amassing about $3.9 billion in net inflows since listing versus bitcoin ETFs’ $36 billion in their first year of trading.
“With increasing acceptance of crypto on Wall Street, especially now as a means for payments and remittances, investors are being drawn to ETH ETFs,” said Chris Rhine, head of liquid active strategies at Galaxy Digital.
Additionally, he added, the CME basis on ether – or the price difference between ether futures and the spot price – is higher than that of bitcoin, giving arbitrageurs an opportunity to profit by going long on ether ETFs while shorting futures (a common trading strategy) and contributing to the uptrend in ether ETF inflows.
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Ether (ETH) 1 month
Despite the uptrend in inflows, the price of ether itself is negative for this month and flat over the past month.
For the year, it’s down 25% as it’s been suffering from an identity crisis fueled by uncertainty about Ethereum’s value proposition, weaker revenue since its last big technical upgrade and increasing competition from Solana. Market volatility driven by geopolitical uncertainty this year has not helped.
In March, Standard Chartered slashed its ether price target by more than half. However, the firm also said the coin could still see a turnaround this year.
Since last week’s big spike in inflows, they’ve “slowed but stayed net positive, suggesting conviction, not hype,” Kurland said. “The market looks like a heart monitor, but the buyers are treating it like a long-term infrastructure bet.”
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A motorcycle is seen near a building of the Taiwan Semiconductor Manufacturing Company (TSMC), which is a Taiwanese multinational semiconductor contract manufacturing and design company, in Hsinchu, Taiwan, on April 16, 2025.
Daniel Ceng | Anadolu | Getty Images
Semiconductor stocks declined Friday following a report that the U.S. is weighing measures that would terminate waivers allowing some chipmakers to send American technology to China.
Commerce Department official Jeffrey Kessler told Samsung Electronics, SK Hynix and Taiwan Semiconductor this week that he wanted to cancel their waivers, which allow them to send U.S. chipmaking tech to their factories in China, the Wall Street Journal reported, citing people familiar with the matter.
The latest reported move by the Commerce Department comes as the U.S. and China hold an unsteady truce over tariffs and trade, with chip controls a key sticking point.
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The countries agreed to the framework of a second trade agreement in London days ago after relations soured following the initial tariff pause in May.
The U.S. issued several chip export changes after the May pause that rattled relations, with China calling the rules “discriminatory.”
U.S. chipmakers have been hit with curbs over the last few years, limiting the ability to sell advanced artificial intelligence chips to China due to national security concerns.
During its earnings report last month, Nvidia said the recent export restriction on its China-bound H20 chips hindered sales by about $8 billion.
Nvidia CEO Jensen Huang told investors on an earnings call that the $50 billion market in China for AI chips is “effectively closed to U.S. industry.” During a CNBC interview in May, he called getting blocked from China’s AI market a “tremendous loss.”