The Giant AI IPOs Coming in 2026 Could Be the Biggest Market Event Since Google Went Public

The Giant AI IPOs Coming in 2026

There is a point in the history of the market when something changes so drastically that investors who were paying attention can sense it before they can fully explain it. One of those occasions was the August 2004 initial public offering (IPO) of Google.

Putting a price on the future of the internet forced the entire financial world to consider something it hadn’t properly priced before, not because the company was unknown—everyone already knew what it was. It took years for that reckoning to fully materialize. It seems similar to what will happen in 2026. Perhaps larger.

CategoryDetails
CompaniesOpenAI, Anthropic, Databricks
Combined Private Valuation~$1.4 Trillion (USD)
OpenAI Valuation$840 Billion (post Feb. 2026 funding round)
Anthropic Valuation~$380–$500 Billion (target IPO range)
Databricks Valuation$134 Billion
OpenAI ARR$25 Billion (as of Feb. 2026)
Anthropic ARR$19 Billion (as of March 2026)
Databricks ARR$5.4 Billion (Q4 2025, 65% YoY growth)
Expected IPO TimelineQ3–Q4 2026
Anthropic Target IPO Raise$60 Billion+
SpaceX Expected IPO Raise~$75 Billion
OpenAI Profitability Target2030
Anthropic Free Cash Flow Target2027
Key Metric (NRR)Anthropic & Databricks: ~140% / OpenAI: Undisclosed
ReferencePitchBook / Morningstar Analysis

With combined last-round private valuations close to $1.4 trillion, OpenAI, Anthropic, and Databricks are anticipated to go public this year. Morningstar To put things in perspective, Google was valued at slightly less than $27 billion when it went public. It is nearly impossible to understand the disparity in scale. However, as anyone who lived through 1999 is aware, raw valuation figures do not tell the whole story. Whether these figures have a solid basis is the more intriguing question, the one that keeps serious analysts up at night.

According to PitchBook’s research, companies with the highest valuations are based on the weakest business fundamentals, indicating that the private market has rewarded story over substance. Morningstar That’s a methodical, deliberate way of expressing something rather concerning. On the five business quality dimensions that public markets actually price over time, OpenAI, the company with the highest price tag at $840 billion, has the lowest score.

The market might just not give a damn just yet. It’s also possible that the S-1 filing, when it arrives, will be the document that compels everyone to face what they have been refusing to see.

OpenAI’s enterprise customer retention rate has never been made public, which is a glaring omission for a business that is on the verge of a trillion-dollar valuation. The single statistic that institutional allocators most want to see is TECHi® Net revenue retention, which indicates whether current customers are spending more or less over time. Before the S-1 is filed, it is impossible to evaluate customer loyalty and expansion revenue because Databricks and Anthropic both have NRRs of about 140%, while OpenAI’s comparable number is still unknown.

Humai 140% in enterprise software is outstanding by any measure. According to OpenAI, investors are effectively being asked to determine a company’s price without knowing whether its clients will remain or depart. That’s a big deal. It’s everything.

The image appears cleaner than most people realize when looking through the numbers on Databricks. The business is growing at a rate of 65% year over year, which is almost twice as fast as Snowflake at a comparable revenue scale. It has been free-cash-flow positive for at least the last 12 months and surpassed $5.4 billion in ARR in Q4 2025.

MarketWise This would be the most talked-about IPO in practically every other year. It is being eclipsed in 2026 by businesses that are making proportionately less money while spending unbelievably more. That seems almost subtly ridiculous. Here, the well-managed company is the underdog.

In less than four months, Anthropic doubled its yearly revenue from $9 billion to $19 billion. TECHi® There is no clear historical comparable for that growth rate. The true story, however, is the margin trajectory, which is similar to CrowdStrike and Cloudflare’s first four years as publicly traded companies. It goes from a negative 94% gross margin in 2025 to an estimated 40% in 2026 and 77% by 2028. Morningstar, that comparison is truly analytical.

The valuation case becomes obvious if Anthropic follows through on it. The entire discussion resumes if it fails to reach the 40% threshold. Anthropic is actively in talks with JPMorgan Chase and Goldman Sachs to raise more than $60 billion by October 2026. WinBuzzer At that amount, it would be the second-biggest IPO in American history.

The issue of capital efficiency is another issue that receives insufficient attention in the breathless headlines. Out of all the major AI companies covered by PitchBook, Anthropic has the steepest single-event decline, generating $0.23 in ARR per dollar raised, Databricks $0.16 on positive free cash flow, and OpenAI $0.11—down from $0.31 eighteen months ago. It is worthwhile to take a moment to consider Morningstar Efficiency’s sharp, rapid, and large decline.

This indicates that OpenAI is raising and spending money more quickly than it is compounding its earnings. That may be a reality of the growth stage. It might also be a structural issue. It is really difficult to tell the difference between the two without the enterprise NRR figure.

It is anticipated that OpenAI will lose about $14 billion in 2026 and that its yearly cash burn will increase to $35 billion in 2027 and $47 billion by 2028, which means the company will spend more than $150 million every day. TECHi® It will take until 2030 for the company to turn a profit. An IPO is required at current burn rates because cumulative losses during that time are expected to exceed $200 billion.

Humai It’s difficult to overlook the fact that a company that goes public in part because it needs the money holds a different position than one that does so because the timing is ideal. Both are capable of success. They call for distinct frameworks for analysis.

Although the comparison to the dot-com era is limited, the broader AI IPO wave represents the most significant cluster of public debuts since the early 2000s, according to FinancialContent. These businesses are supported by truly revolutionary technology, real enterprise clients, and real revenue. The issue is not whether artificial intelligence is important.

It obviously does. In addition to whether public market investors, who ultimately demand earnings, will handle the distinction the way private market investors have mostly declined to, the question is whether the prices being floated reflect businesses or beliefs.

The amount of money returned to venture capital limited partners if SpaceX, Anthropic, and Databricks all go public would be astounding; it might be the biggest liquidity event in venture capital history, surpassing the peak year of the dot-com boom.

All of the analyst frameworks and margin projections are based on SaaStr. Ten years of private market capital are trying to find a way out. That pressure is as much a part of the 2026 IPO wave as any of the companies themselves.

It’s still unclear if public market investors, who are used to GAAP accounting, quarterly earnings calls, and management teams whose responses genuinely have legal ramifications, will tolerate the same ambiguity that private investors did. When they do come, the S-1 filings will be the most closely watched Wall Street documents since, well, Google’s. The hype will be validated by a few items in that filing.

Most likely, others won’t. Because of this, this market event is both the most fascinating and, depending on your position, one of the riskiest in recent memory.