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Elon Musk's $60 billion acquisition of Cursor reveals hidden costs: weak defense, computing power rent, IPO support
On April 21, 2026, when news of SpaceX reaching an agreement with Cursor broke, Sam Altman was the quietest person in Silicon Valley. This news could have been the biggest tech M&A story of the year in any year, but Altman did not make any public statement.
He had plenty of reasons to stay silent. Three years ago, under the name of OpenAI, he led an $8 million seed round investment in Anysphere, the parent company of Cursor—that was the company’s first round of institutional funding. Later, he tried to buy the company, but was rejected. Afterwards, he turned around and acquired Windsurf, Cursor’s competitor, for $3 billion. Then, on April 21, he watched Musk lock in the very asset he had once wanted most, at a price 20 times higher than the earlier one.
Six days later, he was going to meet Musk in court in Oakland, California.
For the $60 billion deal, almost everyone was reading the layer of meaning on its surface. But behind it were five layers of truths that were systematically obscured: Musk is not the strongman, $10 billion is not a breakup fee, integration happened before the announcement, compute rent came before the agreement, and the entire scheme served a bigger IPO bill.
Sky-high Defense
Let’s start with the first layer: “Musk is not the strongman.”
xAI currently owns the world’s largest AI computing cluster, the Colossus supercomputing center, with 100,000 Nvidia H100 cards, and plans to expand to 200,000. This is the number this company appears with most frequently in mainstream reports, and it’s also the figure that most easily makes people form the intuition that “Musk has already won the compute war.”
But not long after Colossus was built, an internal memo quietly made its way to the media. The memo was written by Michael Nicolls, who had just been dispatched to serve as xAI’s president after being promoted from the position of Senior Vice President of Starlink Engineering at SpaceX. In the memo, he used a harsh phrasing to judge that xAI was “clearly behind” in the AI race, and then provided the specific numbers supporting that judgment: xAI’s model floating-point utilization (MFU) was about 11%, while the industry average was 35% to 45%.
This means that of those 100,000 H100 cards, more than 60% are spinning idle. The world’s largest compute cluster is actually delivering less than one-third of the industry average efficiency.
The timing of the delivery of this memo is even more humiliating given the context. All 11 co-founders of xAI have left; Musk himself publicly admitted that xAI “didn’t get it right the first time and is being rebuilt from scratch.” The company’s most ambitious all-in-one AI agent project, “Macrohard,” also stalled because its core leader left. Nicolls was brought in precisely to transplant SpaceX’s extreme-efficiency engineering culture, so that the huge machine could get running at full speed again.
Locking in Cursor for $60 billion is not a casual acquisition by a strong player expanding its territory. It is an AI company that is technologically in the middle of rebuilding, with severely underperforming compute efficiency—using money to buy time, while also searching for a sufficiently large commercial workload for that idling machine. And all of this groundwork had already begun 40 days before the official announcement.
Ginsberg and his partner Andrew Milich are co-heads of Cursor’s product engineering; the two of them jointly handle the architecture and iteration of all of Cursor’s core product functions. During Cursor’s rapid growth from zero to $2 billion in annual revenue, with growth rates setting records in SaaS history, they were the two most critical people on the product side. On March 12, they both announced they were joining xAI, reporting directly to Musk, with the task of rebuilding Grok’s programming capabilities from scratch.
When Andrew Milich announced he was joining xAI, he left a line: “Nearly 10 years ago, I worked as an intern at SpaceX, and I was involved in developing the cockpit display system for the Dragon 2 spacecraft.” The weight of Ginsberg’s return can only be read in the context of his complete trajectory.
The cockpit display system for the Dragon 2 spacecraft was one of SpaceX’s most core human-machine interaction engineering projects at the time, and there were only a handful of interns who could participate in it. After leaving SpaceX, he teamed up with Milich to found Skiff, an end-to-end encrypted document collaboration platform, which was acquired by Notion in February 2024. After that, the two joined Cursor together and helped push it to the top of the AI programming market. Now, he has returned to the starting point of this path, bringing with him years of product judgment and technical architecture experience accumulated at Cursor.
If you lay out this timeline: Ginsberg returning home, Milich joining, and the two being explicitly assigned the mission of “rebuilding Grok’s programming capabilities.” The substance of the acquisition—its core part—had already been completed 40 days before the official announcement. A contract is the endpoint, not the starting point.
The True Bill of $10 Billion and the Precise Courtroom Strike
The acquisition deal is structured as follows: at some point later this year, SpaceX must make a choice between two options—either exercise the acquisition option with $60 billion, or pay $10 billion as a “cooperation fee.” If the acquisition ultimately does not happen, the $10 billion is a one-time consideration to settle this cooperation relationship.
Most media reports refer to this $10 billion as a “breakup fee,” but that definition fundamentally obscures its true nature. To understand why Cursor would accept such a peculiar structure, you first need to see the situation it is facing.
Cursor’s origins rely on the underlying models provided by Anthropic. Claude is its most core technical foundation. Then Anthropic launched Claude Code, a programming AI tool that directly competes for the same batch of users as Cursor—turning the supplier into a competitor. This isn’t the hardest part to bear.
Cursor’s internal analysis shows that Anthropic’s Claude Code monthly subscription fee can be as high as $200, but Anthropic’s compute cost for each heavy user is as high as about $5,000. Last year, this figure was $2,000—rising by 1.5x within a year. This means Anthropic is delivering this service to the market at the cost of losing about $4,800 per user per month.
They’re using venture capital “ammunition,” fighting a pricing war designed to leave competitors no economically viable path forward. For any tool company that continues to rely on Anthropic models and offers users the same level of experience, subscription fees simply cannot cover API costs.
Facing this situation, Cursor CEO Michael Truell said, “Our strategy is to comprehensively use the best technology provided by partners, and the technology we develop ourselves.” This is the clearest statement a founder can make publicly. The other side of it is that Cursor has to train its own models, which means it must find a compute source that does not depend on competitors.
xAI’s Colossus cluster is currently the largest independent compute resource available to Cursor. The $10 billion “cooperation fee” encapsulates the prepaid value of this compute leasing relationship. Cursor’s predicament also happens to make it the most suitable piece on the board in another larger game.
The relationship between OpenAI and Cursor has a complete three-year arc, but mainstream coverage has never pieced it together in full.
The story begins in October 2023. OpenAI led the $8 million seed round financing for Anysphere, becoming Cursor’s first important institutional investor. At that time, Cursor was still a nascent AI programming tool company, and OpenAI’s money was both capital and endorsement.
Two years later, the situation completely flipped. In November 2025, Cursor completed its $2.3 billion Series D with a valuation of $29.3 billion. OpenAI began to seriously discuss the possibility of acquiring Cursor—trying to buy back the seed it had invested earlier. Cursor refused. OpenAI then shifted to acquiring Cursor’s competitor Windsurf—i.e., the former Codeium—for $3 billion. The $30 billion unicorn declined, leaving it with no choice but to take the suboptimal alternative at one-tenth the price.
Then comes April 21. On the day SpaceX announced the $60 billion deal, there were still 6 days until Altman and Musk’s formal standoff in federal court in Oakland. That lawsuit was triggered by Musk accusing Altman of betraying OpenAI’s original nonprofit mission— the most publicly aired showdown of long-simmering grievances.
There’s no evidence that April 21 was deliberately chosen. But the dramatic impact of the timing cannot be ignored: 6 days before the court date, Musk publicly locked in, for $60 billion, the company that OpenAI once invested in and later rejected from being acquired. The $8 million seed invested 3 years earlier is now worth $60 billion—Altman has that calculation crystal clear in his mind.
And Musk’s calculation is not only aimed at Altman.
The Ground Floor of the IPO
On April 1, 2026, SpaceX secretly filed an IPO application with the U.S. Securities and Exchange Commission, targeting a valuation of $1.75 trillion. The core narrative supporting this figure is SpaceX’s grand plan to deploy as many as 1,000,000 data center satellites in space—using solar energy and natural heat dissipation in space to replace the electricity and water cooling requirements of ground data centers, providing a cheaper infrastructure for AI computation. Musk has claimed in multiple settings, “Space will be the cheapest place to run AI.”
But according to S-1 documents disclosed by Reuters and other media, in the legal filings SpaceX submitted to regulators, the company admitted that this plan involves “unproven technology,” and its commercial viability is uncertain. The company’s official assessment of its biggest AI bet is essentially a question mark.
This question mark explains the real logic behind acquiring Cursor. Whether SpaceX’s space compute plan can succeed depends on a physical and engineering assumption that has not yet been verified. Cursor generates 150 million lines of code every day for enterprises around the world—an existing real demand at scale. If the future of space compute remains uncertain, the most important thing is to find a sufficiently large and stable commercial workload for that idle Colossus cluster on the ground.
Cursor’s annual revenue of $2 billion makes it one of the fastest-growing SaaS products globally. Tying it into SpaceX’s ecosystem gives more than just an outlet for monetizing compute—it also provides a tangible case showing the capital markets that “AI infrastructure has already arrived.” In an IPO roadshow, this is more convincing than any outlook about space data centers.
Acquiring Cursor is SpaceX’s way of using a certain deterministic software asset to shore up an uncertain hardware vision.
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