When something truly historic feels near, a certain kind of electricity flows through financial circles. It’s evident in the discussions at industry conferences, in the cautious optimism of analysts who’ve been let down in the past, and in the way venture capitalists talk about companies in their portfolio that they’ve owned for ten years. The electricity is currently operational. Additionally, it is known by a number of names, including SpaceX, OpenAI, Anthropic, Stripe, and Databricks.
The next wave of tech initial public offerings (IPOs) is no longer just a pipe dream. With the weight of years of private-market build-up, the euphoria of the AI boom, and the very real uncertainty that comes with putting trillion-dollar valuations in front of public shareholders who will ask tough questions that venture capitalists seldom do, it’s looking like one of the biggest capital market events in modern memory.
| Company | Sector | Estimated Valuation | HQ | Founded | Key Figure | IPO Status (2026) | Reference |
|---|---|---|---|---|---|---|---|
| SpaceX | Aerospace / AI | ~$1.75 trillion | Hawthorne, CA | 2002 | Elon Musk (CEO) | Filing imminent; up to 30% retail allocation | spacex.com |
| OpenAI | Artificial Intelligence | ~$830B (could reach $1T+) | San Francisco, CA | 2015 | Sam Altman (CEO) | Possible late 2026 or 2027; no formal filing | openai.com |
| Anthropic | Artificial Intelligence | Not publicly disclosed | San Francisco, CA | 2021 | Dario Amodei (CEO) | Speculative; renting Google chips vs. owning | anthropic.com |
| Databricks | Data / AI Infrastructure | ~$62 billion | San Francisco, CA | 2013 | Ali Ghodsi (CEO) | Widely anticipated in 2026 | databricks.com |
| Stripe | Fintech / Payments | ~$65–70 billion | San Francisco, CA | 2010 | Patrick Collison (CEO) | Long-awaited; signals growing | stripe.com |
| Canva | Design / SaaS | ~$26 billion | Sydney, Australia | 2013 | Melanie Perkins (CEO) | Actively exploring public markets | canva.com |
For many years, the approach was clear: maintain your privacy, stay out of the spotlight, and continue expanding on the quiet streams of venture capital that flowed freely through Silicon Valley. When money was cheap and the public markets seemed like a diversion, that calculus made sense. However, everything was altered by the AI race. Large language model training is expensive. Ambition is not the driving force behind data centers. Even the most reclusive founders have had to face the fact that private capital has its limitations due to the compute costs alone—the rows of GPUs humming in warehouses throughout Nevada and Virginia. Despite their mess, public markets don’t.
Perhaps the most striking example of how the rules are being rewritten is the SpaceX case. Elon Musk, who has long expressed disdain for public companies’ quarterly earnings rituals, is reportedly in talks to give individual retail investors up to thirty percent of SpaceX’s IPO.
The average retail slice is at least three times that amount. It’s an odd move that isn’t totally selfless—Musk has a sizable, devoted fan base among individual investors, and it makes sense to flood the early ownership pool with ardent supporters in order to stabilize a stock following its launch. SpaceX is expected to be valued at close to $1.75 trillion, making it more than just the largest tech IPO in history. It would break the record set by Saudi Aramco in 2019 at $25 billion, making it the largest IPO ever.
For its part, OpenAI offers a distinct kind of spectacle. Sam Altman has stated in public that he has no interest in managing a publicly traded company. Despite having a valuation of about $830 billion, OpenAI continues to lose money at an astounding rate.
Over the past few years, the company that introduced ChatGPT and successfully initiated the current generative AI wave has gradually dismantled its nonprofit structure to become a public benefit corporation, which is, among other things, the legal form that makes an eventual IPO much more feasible. Sarah Friar’s appointment as CFO served as a warning. Friar is the type of seasoned financial expert you consult when considering public markets, not when you’re happy to keep things quiet.
If and when OpenAI’s initial public offering (IPO) occurs, its valuation might rise into the trillion-dollar range. A different and much more difficult question is whether the company can justify that amount. The company is spending a lot of money on computation, and even though its revenue is increasing, it is dependent on a market that is moving more quickly than anyone had anticipated five years ago. It’s hard to put into words, but there’s a sense that OpenAI’s public launch would be more of a referendum on whether the AI era is a reality or just an expensive fever dream than a valuation exercise.
It’s difficult to ignore the similarities to past tech cycles as you watch all of this develop. Before its numbers began to turn skeptics into believers, Tesla had to endure years of uncertainty. Amazon was infamously unprofitable for such a long time that the losses turned into a sort of intellectual Rorschach test: either you saw a company that could not figure out how to make money, or you saw a company that made wise investments in future dominance. Both stories are echoed in the AI wave, along with perhaps some new ones that have not yet been written.
It should be noted that the macroeconomic environment is not totally favorable. Some of the early-2026 IPO momentum has been tempered by geopolitical tensions, an oil price spike caused by the U.S.-Iran conflict, and the ongoing uncertainty surrounding Federal Reserve policy. In January, analysts were discussing a banner year; today, they are being more circumspect. However, everyone seems to agree that, if conditions stabilize, the third and fourth quarters could still be successful. These businesses are not disappearing. They will also continue to require capital.
What these IPOs would reveal is another issue. Opening the books is what it means to go public. It entails analysts scrutinizing revenue forecasts, challenging the viability of cloud computing agreements, and examining the margins on AI services that are still being determined in real time. The prevailing belief in this wave of initial public offerings (IPOs) that the person who raises the most money will develop the best AI and win everything is far more brittle than the market currently recognizes, according to one technology industry strategist.
The valuation reasoning behind some of these offerings could quickly change if chip architectures change, efficiency increases significantly, or the compute moat turns out to be smaller than anticipated. Anthropic has already made a significant announcement: it intends to rent compute from Google instead of purchasing its own chips. That could be an early indication that the winner-take-all narrative is already becoming more complex, or it could be a wise capital-efficient move.
Still, it’s unclear whether any of that skepticism will matter in the short term. Investor appetite for AI exposure is, at this moment, nearly insatiable. The FOMO is real and visible. If SpaceX files first and the market rewards it, the line behind it — OpenAI, Anthropic, Stripe, Databricks, Canva — will move faster. Smaller companies in adjacent spaces are already reportedly timing their own offerings to catch the momentum, hoping to ride the wake of the mega-listings.
What seems certain is that the next few months will tell us something significant — not just about these specific companies, but about the durability of the AI moment itself, about what public investors are actually willing to believe, and about how far the market has really come since U.S. listings collapsed from nearly 400 in 2021 to just over 200 last year. If all goes as the optimists hope, Silicon Valley may be on the verge of producing its first hectocorn — a company valued at more than $100 billion on its debut — and possibly more than one. That would be unprecedented. Whether unprecedented is the same as sustainable is, of course, the question everyone is quietly asking.
