Business
A SpaceX IPO could be the largest public offering of all time—and Elon Musk’s biggest headache
Published
2 hours agoon
By
Jace Porter
The SpaceX public offering could very well be the largest public offering of all time—bringing in even more money than Saudi Aramco’s cosmic $29 billion public listing in 2019. And with the rocketing costs (pun intended) that SpaceX would rack up as it paves the way for more test flights for the mega-rocket Starship it wants to send to Mars, the thousands of additional satellites it intends to send to orbit, and the artificial intelligence data centers it may decide to construct in outer space, some extra billions in cash sure wouldn’t hurt.
But the multibillion-dollar question is: Does Elon Musk really want the headaches that would come with all that money?
Since reports of the potential IPO emerged, would-be buyers have been acting like Christmas came early. Investors—from Wall Street mainstay institutions to the Elon fan-boys who trade shibu inu meme coins in their basements—will clamor to purchase shares in SpaceX on the public markets. The company, which Musk founded in 2002 with a large portion of the money he had made off PayPal, has quite literally built the foundation of America’s private space ecosystem. It is the leading space company in the world and is one of the U.S. government’s most important—and well-paid—private contractors.
Reporting has, thus far, pegged a potential market capitalization at $1.5 trillion, meaning that a public debut would immediately catapult SpaceX into the ranks of the 10 most valuable public companies in the world. Payload Space, which publishes detailed annual revenue research and estimates on SpaceX, forecasted that SpaceX will generate around $15 billion in revenue this year, and between $22 billion to $24 billion in 2026. Musk said earlier this month that SpaceX has been cash flow positive for “many” years. “The SpaceX IPO will be the most anticipated and successful IPO ever, in my opinion,” says Andrew Rocco, a stock strategist at Zacks Investment Research.
Early shareholders who have had to wait for their turn to sell shares in SpaceX’s liquidity events will finally get all the liquidity their hearts desire. And journalists like myself will finally have real visibility into the company’s business and profit breakdowns, and an explanation of what SpaceX has determined are key risks to the business.
In short, pretty much everyone has a legitimate reason to get excited about a SpaceX IPO—except for Elon Musk.
It’s hard at first to grasp why Musk has suddenly become convinced that taking SpaceX public is worth the scrutiny, criticism, and regulatory burden he has long said he wanted to avoid. He was the leader who took Twitter private, after all, so he could instill sweeping layoffs and changes without the criticisms of the public markets. And, in earlier business history lore, he famously tweeted he was considering taking Tesla private in 2018—a tweet that prompted an SEC investigation and litigation with shareholders. Keeping his other companies private—including Neuralink, xAI, and the Boring Co.—has allowed Musk to run his businesses the way he likes without much public scrutiny.
Tesla—the only one of Musk’s six companies that is publicly traded—has, on several occasions, attracted more short sellers than any other stock in the last several years; Musk’s pay package has been ridiculed and challenged; his tweets have been investigated; and his improbable timelines for product delivery have been picked apart by analysts. Investors punished Tesla stock when Musk stepped away to work in the White House earlier this year, even as SpaceX, thanks to being private, was able to avoid much of the fallout. Indeed, quite the opposite: A share sale this summer pegged SpaceX’s value at $400 billion, while an impending tender offer will double that valuation, according to the Wall Street Journal.
The fickle tendencies and demands of public investors haven’t only been inconvenient for Musk at Tesla; he’s sometimes taken them as a personal affront. In a 2017 interview, Musk described a heaping $9 billion short position into Tesla as “hurtful.” In March, during the heat of Musk’s episode running President Trump’s Department of Government Efficiency, Musk admitted on Fox News the personal toll the vandalism to Tesla vehicles and showrooms and Tesla’s plummeting stock price had taken on him.
If SpaceX goes public next year, it will be immediately thrown into the frenzy of Wall Street scrutiny over short-term financials, product delays, and costs. Few analysts will be asking Musk about his long-term plans for colonizing Mars. Surely Musk would never subject SpaceX—the beating heart of his broader cosmic ambitions—to the scrutiny that Tesla endures. That is: unless he felt it was the only option.
Hitting the ceiling of private markets
It’s hard to imagine that Musk would ever take SpaceX public unless the math depended on it. And, to be sure, the math may not, at least in the short term. SpaceX’s CFO has reportedly told employees that whether and when an IPO would take place was “highly uncertain.”
To date, SpaceX has managed to reel in more capital than most other private companies in history. The company has raised more than $10 billion, according to PitchBook, a figure that, just a decade ago, would have sounded absurd.
Of course, this is 2025, and—as the private markets have exploded as institutional investors like endowments, pension funds, mutual funds, and sovereign wealth funds have sought outsized returns in venture capital funds—companies like the AI juggernaut Musk cofounded, OpenAI, and TikTok-owner ByteDance have reached valuations in the hundreds of billions that are well above those of most public companies. An $800 billion tender offer would put SpaceX among the 20 most valuable public companies in the U.S., right alongside JPMorgan Chase, which has an $880 billion market cap, and Walmart, which was worth $931 billion at market close on Monday.
But the private markets have their limits. While there may be some $2 trillion to $3 trillion in capital sitting on the sidelines, available to deploy into private companies—which is nothing to sneeze at—there is somewhere around $100 trillion to $150 trillion that has been invested in global equities, according to PitchBook emerging technology analyst Ali Javaheri.
“SpaceX has effectively hit the ceiling of what private markets can support,” Javaheri says. “Financing a multi-decade, industrial-scale roadmap simply doesn’t map cleanly onto private fund structures.”
In pure numbers, reports peg discussions for a more than $30 billion raise for SpaceX, which would be—in a single listing—about three times the capital the company has raised since its inception in 2002. To be clear, not all that money would go to fund future SpaceX operations. In an IPO, it all comes down to which shareholders choose to float shares, and it remains to be seen how many shares—if any—SpaceX would list itself.
But it’s hard to imagine a scenario where SpaceX didn’t raise any money at all, or was simply under pressure from shareholders to give them an opportunity to cash out. The company does regular liquidity events, and there is never a shortage of demand. SpaceX’s board includes personal confidants as well as investors who have already made a fortune off of Musk’s various companies, and it would seem unlikely they’d be putting any kind of pressure on Musk to take the company public.
Given that SpaceX is already profitable, and therefore likely doesn’t need immediate cash to continue operation, SpaceX must need capital for some of its impending priorities.
If you follow Musk’s X account and public comments closely, he has suggested a series of places that money might go: the rollout of Starlink for mobile devices, data centers in space, Starlink factories on the moon, and a Starlink-esque satellite network around Mars. There’s the whole defense business, Star Shield, which we know so little about. SpaceX is also working on new Starship launch pads.
All of this will cost money—and a lot of it.
More scrutiny going public
Preparing SpaceX for an IPO would be a headache for Musk. For one, SpaceX would probably need to make some adjustments to its board. As we learned with Tesla early last year, there will be skepticism over whether its members are adequately independent—or if their ties are too close to the founder.
In the heat of the litigation over Musk’s compensation package agreement with Tesla, a judge determined that the process for approval for Musk’s compensation was “deeply flawed,” due to Musk’s close personal and financial ties with the members of the compensation committee, which included SpaceX board member Antonio Gracias.
Based on Fortune’s reporting, SpaceX’s board currently has six members. In addition to Musk and Tesla board member Gracias, who is an investor at Valor Equity Partners and a close friend of Musk; there is Luke Nosek, who was also a PayPal cofounder; Steve Jurvetson, one of the original SpaceX investors and a longtime friend of Musk; and Gwynne Shotwell, who is an insider as president and COO of SpaceX. The only truly independent board member seems to be Donald Harrison, who is president of global partnerships and corporate development at Google. That board composition could expose SpaceX to pressure from investors and potential litigation if it went public.
It’s “heavily weighted toward insiders and Musk loyalists,” PitchBook’s Javaheri says. “I would expect a meaningful expansion of truly independent board members ahead of any listing.”
There’s also ongoing litigation that would draw scrutiny should SpaceX start having to explain it in annual reports. The company is currently fighting a case with the National Labor Relations Board, over allegations from eight engineers who say they were fired for contributing to and signing an open letter that criticized Musk. In March 2025, an appeals court determined that the case could proceed, after SpaceX had attempted to block the Board from pursuing its claims.
Musk’s compensation plan at SpaceX—along with the compensation of all the other top executives, like Shotwell—will become public, too. And, depending on what those plans look like, they could end up provoking more public, and legal, attention.
To infinity and beyond
In 2018, Musk had the phrase “DON’T PANIC” written on the touchscreen of a Tesla Roadster that SpaceX launched into space on board the Falcon Heavy it was testing. It was in homage to one of his favorite books, A Hitchhiker’s Guide to the Galaxy, in which that message was written on the cover of a guidebook meant to reassure confused space travelers who might be frightened by the chaotic universe they suddenly found themselves in.
As companies graduate from the private markets to the public, executives must start spending as much time reassuring their shareholders as they do running their businesses. There is a slowdown that happens when you have to explain and answer for the decisions you make, versus just looping in a few people on your board. For people like Musk—someone who will sometimes demand that engineers figure out how to catch a rocket with chopstick arms—there is a constant tension between the predetermined rules and bureaucracy of regulation and the desire to move faster, dream bigger.
At Tesla, Musk must balance his ultimate vision for humanoid robots and self-driving vehicles with quarterly metrics and manufacturing costs. A SpaceX IPO will almost certainly hinder the speed at which his plans for Mars become a reality. At the same time, it may be the money and financing generated via that IPO that is the only means to make it possible.
But, for Musk, it will be a sacrifice. He will have to spend an increasing amount of his time saying the same thing to his investors, over and over: DON’T PANIC.
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Business
Google researchers figure how to get AI agents to work better
Published
1 minute agoon
December 16, 2025By
Jace Porter
Welcome to Eye on AI. In this edition…President Trump takes aim at state AI regulations with a new executive order…OpenAI unveils a new image generator to catch up with Google’s Nano Banana….Google DeepMind trains a more capable agent for virtual worlds…and an AI safety report card doesn’t provide much reassurance.
Hello. 2025 was supposed to be the year of AI agents. But as the year draws to a close, it is clear such prognostications from tech vendors were overly optimistic. Yes, some companies have started to use AI agents. But most are not yet doing so, especially not in company-wide deployments.
A McKinsey “State of AI” survey from last month found that a majority of businesses had yet to begin using AI agents, while 40% said they were experimenting. Less than a quarter said they had deployed AI agents at scale in at least one use case; and when the consulting firm asked people about whether they were using AI in specific functions, such as marketing and sales or human resources, the results were even worse. No more than 10% of survey respondents said they had AI agents “fully scaled” or were “in the process of scaling” in any of these areas. The one function with the most usage of scaled agents was IT (where agents are often used to automatically resolve service tickets or install software for employees), and even here only 2% reported having agents “fully scaled,” with an additional 8% saying they were “scaling.”
A big part of the problem is that designing workflows for AI agents that will enable them to produce reliable results turns out to be difficult. Even the most capable of today’s AI models sit on a strange boundary—capable of doing certain tasks in a workflow as well as humans, but unable to do others. Complex tasks that involve gathering data from multiple sources and using software tools over many steps represent a particular challenge. The longer the workflow, the more risk that an error in one of the early steps in a process will compound, resulting in a failed outcome. Plus, the most capable AI models can be expensive to use at scale, especially if the workflow involves the agent having to do a lot of planning and reasoning.
Many firms have sought to solve these problems by designing “multi-agent workflows,” where different agents are spun up, with each assigned just one discrete step in the workflow, including sometimes using one agent to check the work of another agent. This can improve performance, but it too can wind up being expensive—sometimes too expensive to make the workflow worth automating.
Are two AI agents always better than one?
Now a team at Google has conducted research that aims to give businesses a good rubric for deciding when it is better to use a single agent, as opposed to building a multi-agent workflow, and what type of multi-agent workflows might be best for a particular task.
The researchers conducted 180 controlled experiments using AI models from Google, OpenAI, and Anthropic. It tried them against four different agentic AI benchmarks that covered a diverse set of goals: retrieving information from multiple websites; planning in a Minecraft game environment; planning and tool use to accomplish common business tasks such as answering emails, scheduling meetings, and using project management software; and a finance agent benchmark. That finance test requires agents to retrieve information from SEC filings and perform basic analytics, such as comparing actual results to management’s forecasts from the prior quarter, figuring out how revenue derived from a specific product segment has changed over time, or figuring out how much cash a company might have free for M&A activity.
In the past year, the conventional wisdom has been that multi-agent workflows produce more reliable results. (I’ve previously written about this view, which has been backed up by the experience of some companies, such as Prosus, here in Eye on AI.) But the Google researchers found instead that whether the conventional wisdom held was highly contingent on exactly what the task was.
Single agents do better at sequential steps, worse at parallel ones
If the task was sequential, which was the case for many of the Minecraft benchmark tasks, then it turned out that so long as a single AI agent could perform the task accurately at least 45% of the time (which is a pretty low bar, in my opinion), then it was better to deploy just one agent. Using multiple agents, in any configuration, reduced overall performance by huge amounts, ranging between 39% and 70%. The reason, according to the researchers, is that if a company had a limited token budget for completing the entire task, then the demands of multiple agents trying to figure out how to use different tools would quickly overwhelm the budget.
But if a task involved steps that could be performed in parallel, as was true for many of the financial analysis tasks, then multi-agent systems conveyed big advantages. What’s more, the researchers found that exactly how the agents are configured to work with one another makes a big difference, too. For the financial-analysis tasks, a centralized multi-agent syste—where a single coordinator agent directs and oversees the activity of multiple sub-agents and all communication flows to and from the coordinator—produced the best result. This system performed 80% better than a single agent. Meanwhile, an independent multi-agent system, in which there is no coordinator and each agent is simply assigned a narrow role that they complete in parallel, was only 57% better than a single agent.
Research like this should help companies figure out the best ways to configure AI agents and enable the technology to finally begin to deliver on last year’s promises. For those selling AI agent technology, late is better than never. For the people working in the businesses using AI agents, we’ll have to see what impact these agents have on the labor market. That’s a story we’ll be watching closely as we head into 2026.
With that, here’s more AI news.
Jeremy Kahn
jeremy.kahn@fortune.com
@jeremyakahn
FORTUNE ON AI
A grassroots NIMBY revolt is turning voters in Republican strongholds against the AI data-center boom —by Eva Roytburg
Accenture exec gets real on transformation: ‘The data and AI strategy is not a separate strategy, it is the business strategy’ —by Nick Lichtenberg
AWS CEO says replacing young employees with AI is ‘one of the dumbest ideas’—and bad for business: ‘At some point the whole thing explodes on itself’ —by Sasha Rogelberg
What happens to old AI chips? They’re still put to good use and don’t depreciate that fast, analyst says —by Jason Ma
AI IN THE NEWS
President Trump signs executive order to stop state-level AI regulation. President Trump signed an executive order giving the U.S. Attorney General broad power to challenge and potentially overturn state laws that regulate artificial intelligence, arguing they hinder U.S. “global AI dominance.” The order also allows federal agencies to withhold funding from states that keep such laws. Trump said he wanted to replace what he called a confusing patchwork of state rules with a single federal framework—but the order did not contain any new federal requirements for those building AI models. Tech companies welcomed the move, but the executive order drew bipartisan criticism and is expected to face legal challenges from states and consumer groups who argue that only Congress can pre-empt state laws. Read more here from the New York Times.
Oracle stock hammered on reports of data center delays, huge lease obligations. Oracle denied a Bloomberg report that it had delayed completion of data centers being built for OpenAI, saying all projects remain on track to meet contractual commitments despite labor and materials shortages. The report rattled investors already worried about Oracle’s debt-heavy push into AI infrastructure under its $300 billion OpenAI deal, and investors pummeled Oracle’s stock price. You can read more on Oracle’s denial from Reuters here. Oracle was also shaken by reports that it has $248 billion in rental payments for data centers that will commence between now and 2028. That was covered by Bloomberg here.
OpenAI launches new image generation model. The company debuted a new image generation AI model that it says offers more fine-grained editing control and generates images four times faster than its previous image creators. The move is being widely viewed as an effort by OpenAI to show that it has not lost ground to competitors, in particular Google, whose Nano Banana Pro image generation model has been the talk of the internet since it launched in late November. You can read more from Fortune’s Sharon Goldman here.
OpenAI hires Shopify executive in push to make ChatGPT an ‘operating system’ The AI company hired Glen Coates, who had been head of “core product” at Shopify, to be its new head of app platform, working under ChatGPT product head Nick Turley. “We’re going to find out what happens if you architect an OS ground-up with a genius at its core that use its apps just like you can,” Coates wrote in a LinkedIn post announcing the move.
EYE ON AI RESEARCH
A Google DeepMind agent that can make complex plans in a virtual world. The AI lab debuted an updated version of its SIMA agent, called SIMA 2, that can navigate complex, 3D digital worlds, including those from different video games. Unlike earlier systems that only followed simple commands, SIMA 2 can understand broader goals, hold short conversations, and figure out multi-step plans on its own. In tests, it performed far better than its predecessor and came close to human players on many tasks, even in games it had never seen before. Notably, SIMA 2 can also teach itself new skills by setting its own challenges and learning from trial and error. The paper shows progress towards AI that can act, adapt, and learn in environments rather than just analyze text or images. The approach, which is based on reinforcement learning—a technique where an agent learns by trial and error to accomplish a goal—should help power more capable virtual assistants and, eventually, real-world robots. You can read the paper here.
AI CALENDAR
Jan. 6: Fortune Brainstorm Tech CES Dinner. Apply to attend here.
Jan. 19-23: World Economic Forum, Davos, Switzerland.
Feb. 10-11: AI Action Summit, New Delhi, India.
BRAIN FOOD
Is it safe? A few weeks ago, the Future of Life Institute (FLI) released its latest AI Safety Index, a report that grades leading AI labs on how they are doing on a range of safety criteria. A clear gap has emerged between three of the leading AI labs and pretty much everyone else. OpenAI, Google, and Anthropic all received grades in the “C” range. Anthropic and OpenAI both scored a C+, with Anthropic narrowly beating OpenAI on its total safety score. Google DeepMind’s solid C was an improvement from the C- it scored when FLI last graded the field on their safety efforts back in July. But the rest of the pack is doing a pretty poor job. X.ai and Meta and DeepSeek all received Ds, while Alibaba, which makes the popular open source AI model Qwen, got a D-. (DeepSeek’s grade was actually a step up from the F it received in the summer.)
Despite this somewhat dismal picture, FLI CEO Max Tegmark—ever an optimist—told me he actually sees some good news in the results. Not only did all the labs pull up their raw scores by at least some degree, more AI companies agreed to submit data to FLI in order to be graded. Tegmark sees this as evidence that the AI Safety Index is starting to have its intended effect of creating “a race to the top” on AI safety. But Tegmark also allows that all three of the top-marked AI labs saw their scores for “current harms” from AI—such as the negative impacts their models can have on mental health—slip since they were assessed in the summer. And when it comes to potential “existential risks” to humanity, none of the labs gets a grade above D. Somehow that doesn’t cheer me.
FORTUNE AIQ: THE YEAR IN AI—AND WHAT’S AHEAD
Businesses took big steps forward on the AI journey in 2025, from hiring Chief AI Officers to experimenting with AI agents. The lessons learned—both good and bad–combined with the technology’s latest innovations will make 2026 another decisive year. Explore all of Fortune AIQ, and read the latest playbook below:
–The 3 trends that dominated companies’ AI rollouts in 2025.
–2025 was the year of agentic AI. How did we do?
–AI coding tools exploded in 2025. The first security exploits show what could go wrong.
–The big AI New Year’s resolution for businesses in 2026: ROI.
–Businesses face a confusing patchwork of AI policy and rules. Is clarity on the horizon?
Business
Lidl launches holiday meal deal for less than $4 per person
Published
32 minutes agoon
December 16, 2025By
Jace Porter
Lidl US is offering its first-ever holiday meal deal that serves 12 people for less than $4 per person. The shopping list includes a ham portion priced at $0.77 per pound, 12 ounces of hawaiian rolls at $1.79, and 7.25 ounces of mac and cheese for $0.56, as well as many other food items like sweet potatoes and ingredients to make a pumpkin pie. The deal runs through Dec. 24, according to the company’s press release.
In total, the meal costs $42.66 and feeds 12 people. To qualify for the holiday meal at less than $4 per person, customers must be myLidl members. Other items not part of the holiday meal deal are offered at a discount, including a slightly pricier line featuring premium ham and an assortment of desserts.
“Lidl US is dedicated to making high-quality food accessible to everyone, especially during this time of year,” Lidl US CEO Joel Rampoldt said.
Holiday deals coming at the right time for consumers
The discount deal comes as American shoppers pull back on gift spending for the holidays and voters sour on grocery prices.
In November, President Donald Trump announced he was scrapping tariffs on beef, coffee, and other commodities as Democrats and Republicans alike decried a growing affordability crisis.
Despite inflation slowing since its pandemic spike, food price growth ticked up to 3.1% in September—the latest government data available—slightly outpacing headline inflation at 3% and well above the Fed’s target rate of 2%, according to the Bureau of Labor Statistics.
Still, the economy remains afloat, in large part due to a K-shaped economy, in which wealthier Americans who own financial and property assets have enjoyed the period of elevated inflation, while Americans with less financial means have been struck by sticker shock and rising energy prices. This has led to a downward trend in economic activity from low-income earners and an upward trend in assets owned by the wealthy, creating a “K” shape.
Mark Zandi, chief economist at Moody’s Analytics, estimated in September the top 10% of earners account for about 49.2% of all U.S. consumer spending—heights that haven’t been reached in data back since 1989. The top 20% accounted for more than 60% of total spending this year.
When announcing another 25 basis points cut last week, Fed Chair Jerome Powell was uneasy about the state of the K-shaped economy.
“As to how sustainable it is, I don’t know,” Powell said.
Business
Ford CEO Jim Farley said Trump would halve the EV market by ending subsidies. Now he’s writing down $19.5 billion amid a ‘customer-driven’ shift
Published
1 hour agoon
December 16, 2025By
Jace Porter
Several months ago, Ford CEO Jim Farley said ending the nearly two-decade-long EV tax credit would halve America’s electric vehicle market. Now, his company is facing its own reality check.
Ford said this week it would cease production for the original electric F-150 Lightning, which was once touted as a breakthrough for the industry, and shift some of its existing workforce to producing a hybrid version of the pickup with a gas-powered generator called an EREV‚ or an extended range electric vehicle. The automaker said it would be taking a $19.5 billion charge in 2026 as a result of this “customer-driven shift.”
With that in mind, it’s worth reviewing what Farley said at the Ford Pro Accelerate summit in Detroit in September. EVs will remain a “vibrant industry” going forward, he said, but also “smaller, way smaller than we thought.” The end of the $7,500 consumer incentive would be a game-changer, Farley added, before predicting that EV sales in the U.S. could plummet from to 5% from a previous 10%-12%.
Speaking to CNBC on Monday about Ford’s electric pivot, Farley claimed the EV market had, in fact, already shrunk to around 5% of the U.S. vehicle market. The automaker’s EV lineup was simply out of sync with consumer demand, he said.
“More importantly, the very high end EVs, the 50, 60, 70, $80,000 vehicles, they just weren’t selling,” Farley told CNBC.
Farley had established Ford’s Model E division in 2022 to innovate on electric vehicles and operate as a startup within the more-than-100-year-old automaker. At the same time, Farley told CNBC that he knew when he established Model E, it would be “brutal business-wise.” That may have been an understatement. In under three years, the Model E division has lost $13 billion, more than double Ford’s net income for 2024.
As part of its pivot, Farley said the company is listening to consumers.
“We’re following customers to where the market is, not where people thought it was going to be, but to where it is today,” he said.
This means prioritizing hybrid and semi-gas-powered EREVs over pure-play EVs. These categories are what customers are still interested in, Farley said.
To be sure, the company says its Model E division will still be profitable, but in 2029, three years after the 2026 date it had previously targeted. By 2030, the company is also predicting that hybrids, semi-gas-powered EREVs, and pure-play EVs will make up half of Ford’s global sales, a stark increase from about 17% now. And most of that, Farley told CNBC, will be “hybrid and EREV.”
This story was originally featured on Fortune.com
Google researchers figure how to get AI agents to work better
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