2026 IPO Boom:
SpaceX, OpenAI & Anthropic

The 2026 global IPO market exhibits a counterintuitive structural feature: while overall deal count declined 15% year-over-year, total proceeds surged 45% year-over-year, reaching $42.6 billion in Q1—the highest level since 2022. This extreme capital concentration peaked in the second half of 2026 at an unprecedented scale.

The "AI Big Three"—SpaceX, OpenAI, and Anthropic—have a combined valuation approaching $3 trillion. More importantly, their planned listing windows overlap tightly—SpaceX is expected to debut as early as mid-June, Anthropic is targeting the fall, and OpenAI is aiming for year-end or a slip into early 2027—creating enormous liquidity absorption pressure on global public markets.

Using the standard public-market assumption of a 5% free float, these three companies would collectively raise nearly $200 billion in the public markets, exceeding the total proceeds of all U.S. IPOs with market caps above $50 million from 2022 through Q1 2026. That figure alone illustrates the historic scale of this IPO wave.

OpenAI's predicament can be summarized as the stacking of three layers: revenue below expectations, runaway compute costs, and crushing long-term debt. In 2026, the company missed monthly revenue targets several times, and user growth stalled after hitting 900 million weekly active users. At the same time, moving from simple "hundred-billion-scale text processing" to "million-dimensional multimodal physics simulation" (such as video generation and autonomous physical agents) has pushed compute spending far beyond what traditional VC can support.

Sora's imbalanced production ratio is only the tip of the iceberg. The truly lethal factor is the $1.4 trillion in long-term data-center and server hard leases— a legal obligation that must be honored regardless of revenue performance. HSBC's analysis notes that even accounting for current revenue growth, OpenAI still needs to raise more than $207 billion in cash flow before 2030 just to maintain basic operations; otherwise it faces legal risk of compute default.

SpaceX's latest S-1 filing in May 2026 revealed for the first time the financial damage caused by the xAI merger in Q1 2026. To build the Colossus super data center and develop the Grok model, xAI burned more than $6 billion and $2.5 billion in compute spending in 2025 and Q1 2026, respectively. This directly caused SpaceX to report a staggering single-quarter GAAP net loss of $4.28 billion in Q1 2026, with the accumulated deficit reaching $41.3 billion.

SpaceX must raise as much as $40 to $80 billion in cash through the SPCX listing on Nasdaq to sustain this compute black hole. Otherwise, xAI's continued bleeding will begin to erode the core Starlink cash flow—the only SpaceX business unit currently generating positive cash flow.

Although Anthropic has achieved great success in the enterprise market thanks to "Constitutional AI" and Project Glasswing, with Q2 revenue run rate expected to reach an astonishing $10.9 billion, it is also locked into extremely expensive compute supply chains. In addition to hundreds of billions of dollars in compute and chip contracts signed with Google, Broadcom, and Amazon, Anthropic signed a particularly heavy contract with SpaceX in May 2026: leasing two orbital and ground data-center clusters from SpaceX for $15 billion per year.

This means that even if Anthropic does no R&D at all, it faces $15 billion per year in rigid payment obligations just for the SpaceX lease. The $6.5 billion raised in Series H is not even enough to cover half a year of data-center rent. Therefore, Anthropic must rush an IPO in October at a near-trillion-dollar valuation, using the public market's endless cheap capital to "relay-transfuse" these sky-high long-term leases.

In this AI upstart IPO feast, a financial engineering technique called "Cloud Credits Circular Financing" is systematically distorting supply-and-demand signals in the capital markets. Tech giants (Microsoft, Google, Amazon, Nvidia) inject capital into AI startups in the name of "investment," but the capital is not cash—it is issued as monopolistic cloud-service credits (Cloud Credits). These startups are forced to use the credits to buy compute from the investor, and the money flows back to the giant in the form of "server/chip purchases," recorded as the giant's "cloud business revenue." The same dollar is counted twice—once as investment, once as revenue—manufacturing false demand signals and valuation bubbles.

Source: Blockonomi (May 2026); Tech Policy Press (Apr 14, 2026); Morningstar (May 6, 2026); Built In (Apr 21, 2026)

Paper Profit vs. Real Cash Flow: A Shocking Contrast

The toxic fruit of this circular financing is directly visible in the giants' financial statements. Alphabet reported a record $62.6 billion profit in Q1 2026, but $28.7 billion of it (nearly half) came from paper gains on its own mark-to-market Anthropic equity holdings—not from actual revenue in Search, YouTube, or Cloud. In the same quarter, Amazon reported $30.3 billion in profit, of which $16.8 billion similarly came from unrealized valuation gains on Anthropic equity. Yet Amazon's free cash flow plummeted 95% to just $1.2 billion—because the company spent $44.2 billion building physical data centers.

The broader systemic risk is that OpenAI and Anthropic together account for more than half of the $2 trillion in future cloud backlog orders at Microsoft, Oracle, Google, and Amazon. Microsoft's $13 billion OpenAI investment was issued as Azure credits, and OpenAI's annual cloud spend ($60 billion) is already more than twice its own revenue ($25 billion); 54% of Oracle's $553 billion pipeline depends on the single customer OpenAI. These "paper profits" contrast starkly with collapsing free cash flow, and analysts have compared this pattern to Global Crossing and Qwest Communications during the 2001 dot-com bubble—when the two companies swapped fiber capacity to manufacture fake sales, ultimately leading Qwest to write off $1.4 billion in revenue and Global Crossing to file for bankruptcy.

Source: HumAI Blog (May 2026); FourWeekMBA (Apr 21, 2026); Blockonomi (May 2026); TipRanks (May 2026); CoreWeave Official Press Release (Jan 26, 2026)

Regulatory Attention: The U.S. Federal Trade Commission (FTC) documented these financial relationship patterns in AI partnerships in its January 2025 report. Senators Elizabeth Warren and Ron Wyden argue that cloud-AI partnerships amount to "functional mergers that evade antitrust review." Tech Policy Press calls this dynamic the "Cloud Credit Circuit" and notes: "When a startup's cloud consumption is pre-funded by the cloud provider itself, the resulting usage statistics are real on the balance sheet but do not reflect arm's-length transactions."

Source: Tech Policy Press (Apr 14, 2026); FTC Report on AI Partnerships (Jan 2025); Bloomberg "AI Circular Deals" reporting

This extremely dense financing demand has triggered sharp divisions among investment banks, academic think tanks, and authoritative media, becoming the one of the most polarizing forces in the 2026 macro financial market. To understand the essence of this storm, we must first see each company's situation clearly.

Academic Think Tanks' "Productivity Paradox" Assessment

Data Sources: Federal Reserve Bank of St. Louis; NBER Working Paper 34836 (Feb 2026); MIT NANDA Report (Jul 2025); Economic Times (Feb 18, 2026)

Compared with the highly conflicted positioning of investment banks, neutral academic think tanks and macro-financial regulators focus more on real-economy feedback loops. According to the Federal Reserve Bank of St. Louis, AI-related investment contributed 0.97 percentage points to U.S. real GDP growth in 2025, accounting for a remarkable 39%39% of the 2.51% overall annualized growth rate. By comparison, internet bubble investment contributed only 0.81 percentage points (28%) to U.S. GDP in 2000. This shows the current macroeconomy is deeply dependent on AI investment.

However, NBER's in-depth study published in February 2026 reveals a worrying paradox: although executives across industries generally claim AI will drive 1.4% productivity gains and 0.8% output increases in the future, in actual surveys, as many as 90% of enterprises reported that AI "has not yet had any material, observable impact on current workplaces or productivity."

MIT's assessment report published in the second half of 2025 further notes: among GenAI projects launched inside major enterprises, nearly 95% of projects consumed a total of $30-40 billion in investment while still producing zero output. S&P Global's model predicts that once this infrastructure-stacking productivity illusion bursts, the resulting technical adjustment could cause as many as 2.5 million jobs to disappear across the United States in a chain reaction.

According to internal details disclosed by the Financial Times, to accommodate the concentrated arrival of trillion-dollar IPOs such as SpaceX, OpenAI, and Anthropic, Nasdaq (announced March 30, 2026) and S&P 500 (launched consultation April 30, 2026) successively revised their index inclusion criteria, drastically shortening the observation period for mega-cap unprofitable giants and removing the hard threshold of continuous profitability. This means that SpaceX (ticker SPCX) and future Anthropic, after listing for just 15 trading days, will be forced into key benchmarks such as the S&P 100 and Nasdaq-100.

Because retirement funds, pension funds, and index ETFs (such as SPY, QQQ) worth trillions of dollars worldwide must unconditionally buy and hold index constituents— this mechanism essentially ensures that regardless of how severe these AI giants' fundamental losses are, after listing there will be an extremely large pool of passive public capital entering to "backstop" them, providing a deterministic liquidity channel for early high-risk venture investors.

Index providers (S&P Dow Jones, Nasdaq, MSCI, FTSE Russell) are private companies, and their index methodologies are not directly regulated by the SEC. This means:

1. Rule changes require no regulatory approval—index providers can decide when and how to modify inclusion rules without review or approval from any government agency.

2. Conflicts of interest go unsupervised—Nasdaq is both an exchange and an index provider, with a strong incentive to modify rules to attract large IPOs to its platform.

3. SEC stance: encourage rather than regulate—SEC Chairman Paul Atkins has explicitly said he wants to "make IPOs great again," and deregulation is the main theme, not protecting passive investors.

4. Index committee black-box operations—actual S&P 500 inclusion decisions are made by the index committee at its "sole discretion," with non-transparent processes and non-public criteria.

The most controversial rule proposed by Nasdaq is the "5x multiplier" mechanism: for companies with a free float below 20%, index weight = actual free float ratio × 5 (capped at 100%). This means:

After the internet bubble burst, the market left behind physical infrastructure worth trillions of dollars — transoceanic fiber, data centers, broadband networks. This "excess" capacity became the physical cornerstone of the digital economy for the next two decades. Amazon's stock price plunged 90% after the bubble burst, yet it used cheaply acquired server infrastructure to build the world's largest cloud computing empire; Google reshaped information retrieval and ad distribution relying on widespread broadband networks. Only after the cruel screening of the bubble could the real productivity revolution unfold.

If the AI bubble follows a similar path, its potential legacy may be even more profound. Generative AI has already demonstrated speed advantages surpassing human experts in code generation, drug discovery, materials science, and climate simulation. Even if 95% of enterprise AI projects currently generate zero returns, the remaining 5% — such as Anthropic's Project Glasswing in sovereign cybersecurity and SpaceX applying AI to spacecraft autonomous navigation — may be gestating the core productivity tools of the next era. The key difference: internet infrastructure was "general-purpose," while AI compute investment is highly specialized; once the technical route is wrong, hundreds of billions of dollars of GPU clusters will rapidly become electronic waste.

The NASDAQ Composite Index crashed from 5,048 in March 2000 to 1,114 in October 2002, a drop of 78%. This is not a "correction," but a devastating wealth wipeout for a generation. Trillions of dollars of market cap evaporated, with the vast majority borne by retail investors — attracted into the market at the bubble peak by the "new economy" narrative, and forced to cut losses at the desperate bottom. The deeper impact is that an entire generation of engineers and entrepreneurs lost confidence in technological innovation, the venture capital industry fell into a five-year deep freeze, and numerous early-stage projects that could have changed the world died due to broken capital chains.

The risks in 2026 may be more hidden and systemic. BofA's AI credit commitments of up to $450 billion account for 25% of its Tier 1 capital, meaning a bubble burst would directly threaten banking system stability. Unlike 2000, today's tech stock concentration has reached an historical extreme — tech stocks' weight in the S&P 500 has broken through 48%. Once AI giant stock prices crash, passive index funds will be forced to sell other constituents to maintain weight balance, triggering cross-sector chain crashes. Pensions, 401(k) retirement plans, university endowments — these funds that should be the most conservative — are deeply tied to this gamble by the "mechanicity" of index investing.

In this bubble, what is most infuriating is not the overvaluation, but the institutionalized wealth-transfer mechanism. Nasdaq and the S&P 500 successively revised index inclusion rules in 2026, shortening the observation period for mega-cap unprofitable giants from several years to 15 trading days, and eliminating the continuous profitability threshold. This is not a neutral "market-rule adjustment," but an exit channel tailor-made for specific interest groups.

When SpaceX and Anthropic are forcibly included in key benchmarks such as the S&P 100 and Nasdaq-100 just 15 days after listing, trillions of dollars of global retirement funds and index ETFs must buy unconditionally — regardless of whether their valuations are reasonable, regardless of whether their business models are sustainable, regardless of whether retail investors are willing. The essence of this "passive takeover" mechanism is to transfer the exit risk of early VCs, founders, and insiders through the "mechanicity" of index investing, forcibly shifting it onto every ordinary worker who pays into a pension.

This is the most elegant and coldest wealth harvest in modern financial history: equity acquired by early capital for pennies is sold to the public market at hundreds of dollars of valuation at IPO; and when stock prices eventually return to fundamentals, those who bear the losses are index-fund holders who never actively chose to invest in these companies — teachers, nurses, firefighters, factory workers' retirement savings. The capitalists who harvest retail investors through rule changes and the use of passive funds' "certain takeover" are not value-creating investors, but wealth-transferring predators.

The real potential of the AI technology revolution cannot be denied, but technological revolution and capital bubble have never been synonymous. The legacy of the internet bubble is Amazon and Google, but its cost is the wealth destruction of a generation of investors and a five-year innovation winter. If the 2026 AI bubble bursts, its legacy may be compute infrastructure and breakthroughs in certain vertical fields, but its cost may be systemic shocks to the global financial system and shrinking pensions for tens of millions of ordinary workers.

More dangerously, this bubble's harvesting mechanism is far more hidden and institutionalized than in 2000. When passive index funds become tools for "certain takeover," and index rule revisions become channels for interest transfer, the market economy's "price discovery" function has been severely distorted. This is not a failure of the free market, but a conscious manipulation of the rules.

Primary Data Sources:

Company Financial Data: SpaceX S-1 Filing (SEC EDGAR, May 20, 2026), Morningstar, NDTV Profit, Securities Times, PitchBook
Valuation & IPO Info: Bloomberg (Apr-May 2026), Reuters, CNBC, TechStackIPO.com, The Information, TechJournal.org
Anthropic Data: Anthropic Official Announcement (May 28, 2026), 36Kr (Jun 2, 2026), Toutiao, Shepherd Gazette
OpenAI Data: The AI Journal (May 2026), RoboRhythms (May 22, 2026), The Planet Tools, AI2.work
IPO Market Data: KPMG "Mainland China and Hong Kong IPO Market Q1 2026 Review" (Apr 2026), IPOX SchusterWatch Q1 2026, Dealogic ECM Highlights 1Q26, EY-Parthenon
AI Investment & Productivity: MIT NANDA "The GenAI Divide: State of AI in Business 2025" (Jul 2025), NBER Working Paper 34836 (Feb 2026), Goldman Sachs Research (Mar 2026), Futurum Group (Feb 2026), Sequoia Capital Analysis
Index Rule Revisions: Nasdaq Official Announcement (Mar 30, 2026), Ashurst Legal Analysis (Apr 16, 2026), Bloomberg Linea, Xueqiu, LongPort, StockWireX
Market Analysis: BofA Michael Hartnett, Morgan Stanley Counterpoint Global, JPMorgan Research, HSBC Analyst Reports, S&P Global Research

Report Date: June 2026 | Version: v2.1 (Data Verification Edition)