Elon Musk will withdraw his $97.4 billion bid for OpenAI’s nonprofit arm if the ChatGPT maker stops its conversion into a for-profit entity, according to a court filing.
“If OpenAI, Inc.’s Board is prepared to preserve the charity’s mission and stipulate to take the ‘for sale’ sign off its assets by halting its conversion, Musk will withdraw the bid,” read the filing, which was submitted Wednesday to the U.S. District Court for the Northern District of California.
“Otherwise, the charity must be compensated by what an arms-length buyer will pay for its assets,” it added.
On Monday, Musk, along with his artificial intelligence company xAI and a consortium of investors, launched a bid to acquire OpenAI’s nonprofit arm for $97.4 billion, accusing the firm and its CEO Sam Altman of abandoning its original mission to develop AI for good and of pursuing profits instead.
Altman has rebuffed the offer, telling CNBC that the move is just an effort by Musk to “slow down a competitor.”
OpenAI was initially founded as a nonprofit in 2015 and later converted to a “capped profit” model in 2019. Musk helped launch the AI research firm, to which he says he donated $50 million.
Since his departure from the company’s board in 2018, the Tesla and SpaceX founder has expressed vocal frustration with OpenAI’s move toward becoming a for-profit company.
Musk reiterated those concerns on Thursday, speaking to an audience via video link at the World Governments Summit in Dubai, United Arab Emirates.
Asked by the UAE’s AI minister, Omar al Olama, whether a company like OpenAI could really scale as a nonprofit, Musk replied:
“I think the evidence was there in that OpenAI has gotten this far while having at least a sort of dual profit, nonprofit role. What they’re trying to do now is completely delete the nonprofit. And that seems really going too far.”
“I provided all of the funding for OpenAI for the first almost $50 million for nothing, as a nonprofit, and it was meant to be open source,” Musk went on. “And so, you know, I think this is analogous to, like … if you find a nonprofit to preserve the Amazon rainforest, but then … instead they turn into a lumber company and chop down the trees and sell them for wood.”
He added that OpenAI should now change its name to “maximum profit AI,” or to “closed for voracious profit.”
CNBC has contacted OpenAI for comment. Altman in December said that his company decided to move to a capped-profit structure in part because Musk stopped funding it, while supporters of OpenAI’s conversion to a fully for-profit public benefit corporation — which could take two years — say this will better allow it to scale and make it more attractive to investors.
Asked on Tuesday how seriously he is taking Musk’s bid, Altman, who previously declined the offer in a post on X, replied, “Not particularly.”
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.
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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.”