OpenAI IPO 2026 headlines are everywhere, and if you’ve been refreshing your brokerage app like a raccoon staring at a shiny dumpster, you’re not alone. Here’s the thing nobody wants to hear: Sam Altman just told Fortune that going public this year would be “ill-advised”. Not “later,” not “soon,” but straight-up not in 2026. The man literally said “we’ve got a lot of stuff to do,” which is corporate-speak for “y’all aren’t ready for this volatility yet.”
I’ve been watching this circus long enough to know that when a CEO voluntarily walks away from a trillion-dollar payday, you should probably pay attention instead of smashing the buy button like it’s a slot machine.
Within seven weeks, that $176.52 peak looked like a cruel joke. Shares cratered to approximately $108, wiping out 39% of peak-day value and leaving first-day buyers stranded in deep, dark, underwater territory. By July 17, SpaceX had closed below its $135 offering price at $123.99, and roughly $1 trillion in market value had evaporated from the company’s peak. A buyer who entered at the absolute top needed a 63% rally just to get back to even.
The business didn’t suddenly collapse. Rockets kept launching. Starlink kept adding subscribers. Q2 revenue actually beat estimates at $7.8 billion. The company was fine. The price was not.
Suze Orman, who has been telling people how to not lose money since before most crypto bros were born, broke this down on her podcast with the kind of brutal clarity that makes finance professionals squirm. Her conclusion had nothing to do with SpaceX’s technology or Elon’s Twitter antics. It was about a single overlooked variable: the price you pay when you click buy.
She called it the “two-earnings-cycle rule,” which basically means waiting through at least two quarterly reports before even considering touching a freshly public stock. In a world where 30-year Treasury yields hovered near 5.25% as of early September 2026, sitting out for six months costs you roughly 2.6% in foregone yield. That’s the “opportunity cost” of not being a reckless gambler. Pretty cheap insurance if you ask me.
The uncomfortable truth is that SpaceX wasn’t some freak anomaly. The 10 largest U.S. IPOs since 2006 have averaged a 34% drop within their first year of trading. Jay Ritter, the University of Florida professor who essentially invented IPO research as a discipline, puts the average first-day gain at 19% since 1980. SpaceX matched that historical pattern with almost comical precision, closing its first day at $161 for exactly a 19% gain from the $135 offer. But here’s the kicker: most retail investors didn’t get shares at $135. They bought at $160, $170, or that cursed $176.52 peak. They absorbed months of optimism in a single afternoon and paid the price for it.
In March 2026, OpenAI closed a funding round that raised $122 billion, establishing a post-money valuation of $852 billion. SoftBank co-led the round, with Amazon throwing in up to $50 billion while Nvidia and Microsoft each kicked in $30 billion. The platform reported over 900 million weekly active users and 50 million subscribers. That’s not a typo: fifty million people are paying for ChatGPT every month.
But Altman has set a very specific bar for going public: **$1 trillion in valuation**. The company’s last private mark was roughly $148 billion short of that threshold. Is that a lot? Yes. Is it insurmountable? Maybe not, considering OpenAI has roughly doubled its valuation with each fundraising cycle.
The confidential S-1 was filed in June 2026, and the New York Times reported that OpenAI had hired bankers and lawyers with a target of Q3 or Q4 2026. Then reality intervened. CFO Sarah Friar told employees on August 19 that the company would aim for a 2027 listing instead. The advisors had recommended the delay, and guess what case they cited as a cautionary tale? SpaceX.
Let me say that again because it’s genuinely remarkable: OpenAI’s own financial advisors pointed to SpaceX’s post-IPO bloodbath and said “yeah, let’s not do that.”
Altman’s public reasoning was about safety, which sounds noble until you remember this is the same guy who has been racing to deploy AI capabilities before anyone can regulate them. “Given everything happening with safety, right now would be an ill-advised moment to go public,” he told Fortune. Pressed on whether that ruled out 2026 entirely, he replied: “I would say not 2026, yeah”.
The quiet part that nobody says out loud: OpenAI burns an estimated $600 billion on infrastructure through 2030, and while the company reports $2 billion in monthly revenue, the cash burn makes SpaceX’s $25 billion negative free cash flow in H1 2026 look almost quaint. Going public means quarterly earnings calls where you have to explain to shareholders why you’re setting money on fire faster than a California wildfire. Private markets let you do that without the awkward questions.
The IPO game is structurally rigged, and I don’t mean that in the tinfoil-hat conspiracist way. I mean it in the “the empirical data is right there and we keep ignoring it” way.
When an IPO is underpriced (and virtually all of them are, with a mean first-day return of 19% since 1980), the value accrues to the institutional investors who get allocations at the offer price. These are the pension funds, hedge funds, and high-net-worth individuals who have relationships with underwriters. By the time you and I can buy on the open market, most of the first-day pop has already happened. We’re the exit liquidity for the people who got in early.
Research from Jay Ritter’s data shows that over a three-year holding period, IPOs have historically underperformed broader market benchmarks. The average IPO returned around 34% over the three years after listing, while a comparable set of stocks returned nearly 62%. That’s not a small gap. That’s a systematic wealth transfer from impatient retail investors to patient institutional ones.
And the drawdowns are brutal. A study by LPL Financial of nearly 1,500 US IPOs from 1995 to 2025 found that the median IPO was down 4.7% one year after its first-day close, but the median IPO suffered a maximum drawdown of 48% during its first year of trading. Half. Of. Your. Money. Gone. At some point during the year. Even if it eventually recovers, most people panic-sell somewhere in that 48% hole.
The 2025 IPO class in India tells the same story. Of 103 mainboard IPOs, 69 debuted above their issue price, delivering an average listing-day gain of 9.55%. By March 2026, 66 of those 103 were trading below their offer price, with an average return of -6.97% and a median loss of 17.71%. That’s a majority of companies that were “hot” on day one trading in the red less than a year later. The listing pop wasn’t a gift. It was a trap with a bow on top.
OpenAI has 900 million weekly active users and 50 million paying subscribers. That’s not hype; that’s scale that very few companies in history have achieved. The AI infrastructure buildout is real, the revenue is real, and the enterprise demand is arguably understated because nobody wants to admit how much of their workforce productivity now runs through a chatbot.
There’s also a compelling argument that OpenAI’s delay actually creates a better entry point for public investors. If the company IPOs at $1 trillion or above in 2027, the early private investors will have already captured the lion’s share of the upside. The public market will be pricing in years of future growth. You’ll be buying what remains, which historically hasn’t been a fantastic deal.
But the “this time is different” crowd has been saying that since the South Sea Bubble. Jay Ritter’s data covers nearly 10,000 deals over 45 years. The pattern of initial enthusiasm followed by prolonged underperformance is one of the most robust findings in all of finance. OpenAI might break the mold. Anthropic might too. But the base rate is not your friend.
The Forbes Finance Council put it bluntly: by the time a company reaches the public markets, investors already have strong opinions about its future, and optimism often becomes part of the investment thesis before anyone has considered valuation, portfolio fit, or the role that holding should play alongside existing investments. SpaceX’s business didn’t fundamentally change in its first weeks as a public company. Investor expectations did.
The first question you should ask yourself isn’t “should I buy OpenAI when it IPOs?” It’s “what would this position actually add to my portfolio?” If you already own Nvidia, Microsoft, Google, or a broad tech index fund, you probably have meaningful exposure to the AI theme already. The Forbes Finance Council noted that many investors already hold diversified exposure to the forces driving this new generation of companies through their 401(k)s, index funds, or adjacent holdings they may not even realize are AI plays.
The second question is “would I be making this same decision if the IPO weren’t dominating headlines?”. If the answer is yes, you’re probably thinking clearly. If the answer is no, you’re chasing momentum, and momentum has a nasty habit of reversing when you least expect it.
Suze Orman’s two-earnings-cycle rule deserves more attention than it gets. Waiting six months for a company to report two quarters of real numbers as a public company isn’t exciting. It’s not sexy. It won’t get you invited on CNBC. But it will give you actual data instead of vibes, and that’s worth something.
The cost of patience in a 5%+ Treasury environment is modest. You’re giving up a few percentage points of yield for the privilege of seeing how the market actually values the company once the lockup expires and the initial hype fades. For most people, that’s a trade worth making.
OpenAI might be the most important company of the decade. It might genuinely change the world in ways we can’t fully predict. But “important company” and “good investment at this price” are two very different statements. SpaceX was important. That didn’t stop it from dropping below its IPO price in a month.
If you’re sitting there with your finger hovering over the buy button the moment OpenAI hits the tape, just remember: the institutions who got in at $852 billion will be selling to you. The employees whose stock comp vests after the lockup will be selling to you. The bankers who priced the deal will have already collected their fees. You’ll be the last person in the room, paying the highest price, hoping the music doesn’t stop.
It might work out anyway. But that’s gambling, not investing.
None of this means you should never buy OpenAI. It means you shouldn’t buy it because you’re scared of missing out. The best investment decisions aren’t urgent. They’re boring, disciplined, and occasionally lonely when everyone else is euphoric.
The question isn’t “will OpenAI be huge?” It’s “will OpenAI be huge relative to the price I’m paying?” Those are different questions, and only one of them actually matters.
What I want to know from you: Have you ever bought a hyped IPO on day one? What happened? I’m genuinely curious whether anyone out there has a success story, because the data says you’re rare.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. I am not a licensed financial advisor, and my opinions should not be treated as recommendations to buy, sell, or hold any security. Investing involves risk, including the potential loss of principal. IPO investments carry additional risks due to limited operating history, price volatility, and lockup expiration dynamics. Past performance does not guarantee future results. Always do your own research or consult a qualified professional before making investment decisions. The author has no position in OpenAI or SpaceX and no plans to initiate any such position in the near term.
I’ve been watching this circus long enough to know that when a CEO voluntarily walks away from a trillion-dollar payday, you should probably pay attention instead of smashing the buy button like it’s a slot machine.
The SpaceX Hangover Nobody Wants to Acknowledge
Let me take you back to June 2026, because this story matters way more than your Twitter feed admitted. SpaceX IPO’d at $135 per share on June 11, opened at $150 the next morning, and then rocketed to an intraday high of $176.52. The headlines screamed genius. The retail crowd screamed “I’m gonna be rich.” Your cousin who still lives in his mom’s basement screamed “bro it’s Elon, it can’t lose.”Within seven weeks, that $176.52 peak looked like a cruel joke. Shares cratered to approximately $108, wiping out 39% of peak-day value and leaving first-day buyers stranded in deep, dark, underwater territory. By July 17, SpaceX had closed below its $135 offering price at $123.99, and roughly $1 trillion in market value had evaporated from the company’s peak. A buyer who entered at the absolute top needed a 63% rally just to get back to even.
The business didn’t suddenly collapse. Rockets kept launching. Starlink kept adding subscribers. Q2 revenue actually beat estimates at $7.8 billion. The company was fine. The price was not.
Suze Orman, who has been telling people how to not lose money since before most crypto bros were born, broke this down on her podcast with the kind of brutal clarity that makes finance professionals squirm. Her conclusion had nothing to do with SpaceX’s technology or Elon’s Twitter antics. It was about a single overlooked variable: the price you pay when you click buy.
She called it the “two-earnings-cycle rule,” which basically means waiting through at least two quarterly reports before even considering touching a freshly public stock. In a world where 30-year Treasury yields hovered near 5.25% as of early September 2026, sitting out for six months costs you roughly 2.6% in foregone yield. That’s the “opportunity cost” of not being a reckless gambler. Pretty cheap insurance if you ask me.
The uncomfortable truth is that SpaceX wasn’t some freak anomaly. The 10 largest U.S. IPOs since 2006 have averaged a 34% drop within their first year of trading. Jay Ritter, the University of Florida professor who essentially invented IPO research as a discipline, puts the average first-day gain at 19% since 1980. SpaceX matched that historical pattern with almost comical precision, closing its first day at $161 for exactly a 19% gain from the $135 offer. But here’s the kicker: most retail investors didn’t get shares at $135. They bought at $160, $170, or that cursed $176.52 peak. They absorbed months of optimism in a single afternoon and paid the price for it.
OpenAI’s $1 Trillion Staring Contest
Now let’s talk about OpenAI, because the numbers are somehow even more absurd.In March 2026, OpenAI closed a funding round that raised $122 billion, establishing a post-money valuation of $852 billion. SoftBank co-led the round, with Amazon throwing in up to $50 billion while Nvidia and Microsoft each kicked in $30 billion. The platform reported over 900 million weekly active users and 50 million subscribers. That’s not a typo: fifty million people are paying for ChatGPT every month.
But Altman has set a very specific bar for going public: **$1 trillion in valuation**. The company’s last private mark was roughly $148 billion short of that threshold. Is that a lot? Yes. Is it insurmountable? Maybe not, considering OpenAI has roughly doubled its valuation with each fundraising cycle.
The confidential S-1 was filed in June 2026, and the New York Times reported that OpenAI had hired bankers and lawyers with a target of Q3 or Q4 2026. Then reality intervened. CFO Sarah Friar told employees on August 19 that the company would aim for a 2027 listing instead. The advisors had recommended the delay, and guess what case they cited as a cautionary tale? SpaceX.
Let me say that again because it’s genuinely remarkable: OpenAI’s own financial advisors pointed to SpaceX’s post-IPO bloodbath and said “yeah, let’s not do that.”
Altman’s public reasoning was about safety, which sounds noble until you remember this is the same guy who has been racing to deploy AI capabilities before anyone can regulate them. “Given everything happening with safety, right now would be an ill-advised moment to go public,” he told Fortune. Pressed on whether that ruled out 2026 entirely, he replied: “I would say not 2026, yeah”.
The quiet part that nobody says out loud: OpenAI burns an estimated $600 billion on infrastructure through 2030, and while the company reports $2 billion in monthly revenue, the cash burn makes SpaceX’s $25 billion negative free cash flow in H1 2026 look almost quaint. Going public means quarterly earnings calls where you have to explain to shareholders why you’re setting money on fire faster than a California wildfire. Private markets let you do that without the awkward questions.
The Brutal Arithmetic of IPO FOMO
Here’s where I need to get a little preachy, and I apologize in advance because I hate preachy people almost as much as I hate losing money.The IPO game is structurally rigged, and I don’t mean that in the tinfoil-hat conspiracist way. I mean it in the “the empirical data is right there and we keep ignoring it” way.
When an IPO is underpriced (and virtually all of them are, with a mean first-day return of 19% since 1980), the value accrues to the institutional investors who get allocations at the offer price. These are the pension funds, hedge funds, and high-net-worth individuals who have relationships with underwriters. By the time you and I can buy on the open market, most of the first-day pop has already happened. We’re the exit liquidity for the people who got in early.
Research from Jay Ritter’s data shows that over a three-year holding period, IPOs have historically underperformed broader market benchmarks. The average IPO returned around 34% over the three years after listing, while a comparable set of stocks returned nearly 62%. That’s not a small gap. That’s a systematic wealth transfer from impatient retail investors to patient institutional ones.
And the drawdowns are brutal. A study by LPL Financial of nearly 1,500 US IPOs from 1995 to 2025 found that the median IPO was down 4.7% one year after its first-day close, but the median IPO suffered a maximum drawdown of 48% during its first year of trading. Half. Of. Your. Money. Gone. At some point during the year. Even if it eventually recovers, most people panic-sell somewhere in that 48% hole.
The 2025 IPO class in India tells the same story. Of 103 mainboard IPOs, 69 debuted above their issue price, delivering an average listing-day gain of 9.55%. By March 2026, 66 of those 103 were trading below their offer price, with an average return of -6.97% and a median loss of 17.71%. That’s a majority of companies that were “hot” on day one trading in the red less than a year later. The listing pop wasn’t a gift. It was a trap with a bow on top.
Why OpenAI Might Be Different (But Probably Won’t Be)
I need to be fair here, because I’ve spent a lot of words dunking on IPO hype and OpenAI isn’t a normal company.OpenAI has 900 million weekly active users and 50 million paying subscribers. That’s not hype; that’s scale that very few companies in history have achieved. The AI infrastructure buildout is real, the revenue is real, and the enterprise demand is arguably understated because nobody wants to admit how much of their workforce productivity now runs through a chatbot.
There’s also a compelling argument that OpenAI’s delay actually creates a better entry point for public investors. If the company IPOs at $1 trillion or above in 2027, the early private investors will have already captured the lion’s share of the upside. The public market will be pricing in years of future growth. You’ll be buying what remains, which historically hasn’t been a fantastic deal.
But the “this time is different” crowd has been saying that since the South Sea Bubble. Jay Ritter’s data covers nearly 10,000 deals over 45 years. The pattern of initial enthusiasm followed by prolonged underperformance is one of the most robust findings in all of finance. OpenAI might break the mold. Anthropic might too. But the base rate is not your friend.
The Forbes Finance Council put it bluntly: by the time a company reaches the public markets, investors already have strong opinions about its future, and optimism often becomes part of the investment thesis before anyone has considered valuation, portfolio fit, or the role that holding should play alongside existing investments. SpaceX’s business didn’t fundamentally change in its first weeks as a public company. Investor expectations did.
What the Smart Money Is Actually Doing
Here’s the part where I give you something actionable instead of just roasting IPO bros.The first question you should ask yourself isn’t “should I buy OpenAI when it IPOs?” It’s “what would this position actually add to my portfolio?” If you already own Nvidia, Microsoft, Google, or a broad tech index fund, you probably have meaningful exposure to the AI theme already. The Forbes Finance Council noted that many investors already hold diversified exposure to the forces driving this new generation of companies through their 401(k)s, index funds, or adjacent holdings they may not even realize are AI plays.
The second question is “would I be making this same decision if the IPO weren’t dominating headlines?”. If the answer is yes, you’re probably thinking clearly. If the answer is no, you’re chasing momentum, and momentum has a nasty habit of reversing when you least expect it.
Suze Orman’s two-earnings-cycle rule deserves more attention than it gets. Waiting six months for a company to report two quarters of real numbers as a public company isn’t exciting. It’s not sexy. It won’t get you invited on CNBC. But it will give you actual data instead of vibes, and that’s worth something.
The cost of patience in a 5%+ Treasury environment is modest. You’re giving up a few percentage points of yield for the privilege of seeing how the market actually values the company once the lockup expires and the initial hype fades. For most people, that’s a trade worth making.
A Note from Me to You
I’ve made this mistake before. I bought a hot IPO on day one because everyone said it was the future, and I watched it bleed for months before I finally admitted I was wrong and sold at a loss. The company is still around. It’s probably fine. But the price I paid was stupid, and I knew it was stupid when I clicked buy. I just didn’t care because the FOMO was loud and the math was quiet.OpenAI might be the most important company of the decade. It might genuinely change the world in ways we can’t fully predict. But “important company” and “good investment at this price” are two very different statements. SpaceX was important. That didn’t stop it from dropping below its IPO price in a month.
If you’re sitting there with your finger hovering over the buy button the moment OpenAI hits the tape, just remember: the institutions who got in at $852 billion will be selling to you. The employees whose stock comp vests after the lockup will be selling to you. The bankers who priced the deal will have already collected their fees. You’ll be the last person in the room, paying the highest price, hoping the music doesn’t stop.
It might work out anyway. But that’s gambling, not investing.
The Bottom Line (No, Really)
OpenAI won’t IPO in 2026. Altman said so explicitly, and the company’s advisors cited SpaceX’s post-IPO carnage as the reason to wait. When 2027 rolls around and the S-1 becomes public, you’ll have a decision to make. The data suggests patience pays. The history suggests first-day buyers get punished. The structural reality of IPO allocations suggests you’re at the back of the line.None of this means you should never buy OpenAI. It means you shouldn’t buy it because you’re scared of missing out. The best investment decisions aren’t urgent. They’re boring, disciplined, and occasionally lonely when everyone else is euphoric.
The question isn’t “will OpenAI be huge?” It’s “will OpenAI be huge relative to the price I’m paying?” Those are different questions, and only one of them actually matters.
What I want to know from you: Have you ever bought a hyped IPO on day one? What happened? I’m genuinely curious whether anyone out there has a success story, because the data says you’re rare.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. I am not a licensed financial advisor, and my opinions should not be treated as recommendations to buy, sell, or hold any security. Investing involves risk, including the potential loss of principal. IPO investments carry additional risks due to limited operating history, price volatility, and lockup expiration dynamics. Past performance does not guarantee future results. Always do your own research or consult a qualified professional before making investment decisions. The author has no position in OpenAI or SpaceX and no plans to initiate any such position in the near term.
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