The AI IPO vacuum and the next rotation of capital
SpaceX, Anthropic, and OpenAI are not just big tech stories. They are tests of how much risk budget the market can absorb at once.
A market does not need to crash for money to move.
Sometimes the rotation begins more quietly. A few crowded trades stop working. Good news gets sold. Portfolio managers start trimming winners, not because they hate the story, but because the position has become too large. Cash piles up for deals that are too important to ignore. Then, before anyone declares a new cycle, the old leadership begins to feel heavy.
That is how I would think about the next phase of the AI trade.
The obvious story is AI. The more useful story is capital rotation.
According to media reports, SpaceX has been preparing for a possible public listing at a target valuation of about $1.77 trillion, with a potential raise around $75 billion. Anthropic reportedly raised $65 billion on May 28 at a valuation near $965 billion. OpenAI reportedly raised $122 billion on March 31 at a valuation around $852 billion.
Put those reported valuations together and you get more than $3.5 trillion of implied value.
The exact numbers may change. The direction is what matters. These are not normal financing events. These are gravity wells. If even part of this capital demand hits the market in a compressed window, investors have to make room.
And making room usually means selling something else.
The question is not whether AI is important
AI is important. That part is not interesting anymore.
The market already knows the story. It has bought Nvidia. It has bought data centers. It has bought power, cooling, chips, defense, automation, cloud software, and anything that could plausibly attach itself to AI.
From 2023 through 2025, AI became the dominant risk asset narrative. Every model release, every Nvidia earnings beat, every enterprise pilot, every story about jobs being automated made the trade feel bigger. Money likes that kind of story. It gives investors a reason to pay up.
But every strong theme eventually runs into the same problem: positioning.
At first, a theme is under-owned. Then it becomes consensus. Then it becomes mandatory. By the time everyone agrees the theme is real, the trade may already be crowded.
That does not mean AI is fake. It means the price of AI exposure can get too high.
There is a difference between a technology being transformative and a basket of related assets being attractive at today’s price. The internet was transformative in 2000. Many internet stocks were still terrible investments at the peak.
That distinction matters now.
When a market theme becomes too dominant, it starts starving everything else. Investors stop asking what is cheap. They ask what gives them more exposure to the winning story. That is when the next rotation starts to form, usually in the assets nobody wants to talk about.
Mega deals create a liquidity vacuum
Saudi Aramco raised $25.6 billion in its 2019 IPO. At the time, that was the largest IPO in history.
Now compare that with the reported numbers around the AI and space infrastructure names. A $75 billion SpaceX raise would be almost three Aramcos. A $65 billion Anthropic raise would be more than two Aramcos. A $122 billion OpenAI raise would be almost five.
These comparisons are imperfect, of course. Private rounds, public listings, float, secondary sales, index inclusion, and actual liquidity are different things. But the point is simple: the capital requirement is enormous.
On June 4, S&P Dow Jones Indices made clear that it would not waive seasoning rules just because a company is huge. A new public company still needs to trade for at least 12 months before it can enter the S&P 500.
That creates a strange gap. A company can be large enough to dominate every financial headline, but still not receive automatic S&P 500 index demand on day one.
Nasdaq may treat the situation differently. Depending on methodology and float treatment, a mega IPO could receive faster index exposure through the Nasdaq-100. The details matter, but the bigger point is the tension. Some pools of money may have to wait. Others may be forced to react earlier.
Either way, discretionary investors do not wait for the index committee to tell them what matters. If they want allocation, they need cash.
Where does that cash come from?
From the parts of the portfolio that can be sold.
That is the vacuum. Not a dramatic one-day event. More like a pressure change. Capital gets reserved for the sacred names. Second-tier private deals get less attention. Public growth stocks lose some marginal buyers. Funds sell liquid winners to prepare for illiquid opportunities. A few crowded trades stop feeling effortless.
Then people look around and say the market feels tired.
Rotation usually has three phases
The mistake is assuming money jumps directly from one hot theme into the next.
That is not usually how it works.
After a crowded trade breaks, capital tends to move in stages. The stages are messy, and they overlap, but the pattern is familiar.
First, money hides.
Cash, short-term Treasuries, gold, defensive equities, quality balance sheets. This is the boring phase. It can feel like nothing is happening because the most exciting assets are no longer leading. Investors are not trying to get rich in this phase. They are trying to avoid explaining another drawdown.
Second, money buys what the mania ignored.
This is where the rotation becomes interesting. The old winners may still be good businesses, but their stocks have too much expectation built in. The ignored assets, meanwhile, have spent years being neglected. They do not need perfection. They only need investors to notice that they are cheap, under-owned, or less exposed to the old narrative.
Third, money finds the next liquidity story.
This is the phase people like to front-run. It is also the easiest phase to be early on. A new story needs more than a chart bounce. It needs liquidity, flows, and a reason for institutions to reallocate.
The order matters.
If you skip the defensive phase and buy the next speculative asset too early, you may be right about the destination and still lose money on the sequence.
The 2000 playbook was not just a tech crash
The dot-com bubble is usually remembered as a tech-stock collapse. That is only half the story.
The Nasdaq fell from roughly 5,000 in March 2000 to about 1,100 in 2002, a decline of nearly 78%. Many companies disappeared. Some real businesses survived but took years to recover. If you bought the Nasdaq at the top, you waited roughly 15 years to get back to even.
But capital did not vanish forever. It moved.
At first, it hid in cash and government bonds. That is normal. When the leading story breaks, investors do not immediately trust the next one. They need time to figure out whether they are buying bargains or traps.
Then money went into assets that had been neglected during the internet mania. Housing, commodities, energy, emerging markets, and small-cap value stocks started working. From 2002 to 2007, oil moved from around $20 to more than $100. Copper had a huge run. Emerging markets came alive. Value investors, who looked obsolete in 1999, suddenly looked patient rather than stupid.
The internet still changed the world. That did not stop capital from leaving internet stocks and rewarding other parts of the market for years.
That is the lesson I care about now.
A technology can win while its first public-market leadership group stops leading. When that happens, money does not retire. It rotates.
2021 showed the same sequence in a faster market
The 2021 cycle compressed the same movie into a shorter timeline.
Crypto, meme stocks, SPACs, unprofitable software, and anything with a good enough future story benefited from cheap money. Bitcoin ran from under $10,000 in early 2020 to around $69,000 in November 2021. NFTs became dinner-table conversation. DeFi yields looked fake because many of them were fake.
Then the Fed started hiking.
In March 2022, it raised rates by 25 basis points. Then came four consecutive 75-basis-point hikes. Liquidity drained out of the system. The speculative parts of the market broke first.
Bitcoin fell from roughly $69,000 to around $16,000. FTX collapsed. Three Arrows Capital collapsed. High-growth software sold off. SPACs became punchlines.
Again, the important part was not simply that one asset fell. The whole risk stack repriced.
When liquidity is abundant, money pays for duration, imagination, and optionality. When liquidity tightens, money stops paying for distant promises. It wants cash flow, safety, collateral, and time.
Only after the panic burns out does capital ask a better question: what did we sell too hard?
Bitcoin’s recovery later came from several things at once: easier financial conditions, the survival of the network after the frauds washed out, and the January 2024 approval of spot Bitcoin ETFs, which gave institutions a familiar wrapper. The wrapper mattered because flows matter.
That is a broader lesson, not just a crypto lesson. A rotation needs a vehicle. Investors need a clean way to express the trade.
What AI may starve next
If the AI trade stops leading cleanly, I would not expect the market to immediately crown one replacement.
The more likely path is a basket rotation.
Some capital goes defensive first. Some moves into assets that were starved while AI dominated every conversation. Some stays in the AI supply chain but shifts from glamorous model labs to the physical infrastructure behind them.
Traditional software could catch a bid again. Companies like Adobe, Salesforce, and Intuit looked old during the model-lab frenzy, but they still have customers, margins, distribution, and pricing power. If the market becomes less willing to pay unlimited multiples for frontier AI, boring software may look less boring.
Small caps could benefit if investors start looking beyond mega-cap concentration. They have lagged while institutional capital crowded into the obvious winners. If rates fall and breadth improves, some of that neglect can reverse.
Industrial infrastructure may be one of the cleaner bridges between the old story and the next rotation. AI still needs electricity, data centers, cooling, copper, transformers, and grid upgrades. Even if AI valuations compress, the physical buildout does not disappear overnight.
Energy and utilities deserve more attention than they get. Data-center demand has made power availability a real constraint. Nuclear, gas, grid equipment, and storage all sit close to the bottleneck.
Biotech and medical technology have also been left out of the main market conversation. Demographics did not pause because everyone started talking to chatbots.
Real estate can work if rates fall. Emerging markets can work if the dollar weakens. Commodities can work if the infrastructure cycle stays alive.
Digital assets may also become part of the later rotation, but I would put them in the liquidity-sensitive bucket rather than treating them as the only destination. Bitcoin, crypto equities, stablecoins, and tokenized assets all need the same basic ingredients: easier liquidity, improving flows, and less correlation with stressed tech selling.
That is the more balanced view. Bitcoin can be part of the next phase without being the whole thesis.
Why the first move probably is not the final move
The first reaction after AI exhaustion is likely defensive.
That does not mean a crash. It means the marginal buyer changes. Investors who were chasing upside begin protecting gains. Funds reduce exposure to crowded winners. Some cash gets reserved for the biggest private or public AI allocations. Some investors move toward quality, duration, gold, or short-term bonds.
Gold is worth watching here because it often sniffs out discomfort before the high-beta assets do. It does not need a product launch. It does not need an app store ranking. It only needs investors to distrust the current story a little more than they did yesterday.
If AI leaders wobble while gold holds up, that tells you something.
It suggests capital is not just rotating from one growth stock to another. It is looking for a different kind of protection.
But protection is not the same as a new bull market. The defensive phase can last longer than people expect. The old leaders can bounce. The new leaders can fail their first breakout. There may be several false starts.
That is why I would rather watch the sequence than guess the exact date.
That later phase could include gold, small caps, commodities, emerging markets, infrastructure, old software that everyone forgot about, and digital assets. Bitcoin belongs in that list, but it should not sit above it.
Its setup probably improves if three things happen. Liquidity loosens. Its correlation with stressed tech selling weakens. Flows return through ETFs, stablecoins, and crypto-related equities.
If those show up together, Bitcoin becomes one expression of the rotation. Not the only one. Maybe not even the first one.
The signals that matter
I am watching six things.
First: AI leaders stop rising on good news. This is one of the oldest exhaustion signals in the market. When strong earnings, product launches, or financing headlines no longer move the stocks higher, the trade may be saturated.
Second: breadth improves outside mega-cap tech. If small caps, value, industrials, software laggards, biotech, or emerging markets begin working while AI leaders flatten, that is rotation, not random noise.
Third: defensive assets hold up. Cash yields, Treasuries, gold, and quality equities tell you whether investors are reducing risk or simply switching themes.
Fourth: the Fed moves from talk to action. Markets can price cuts for months. A real easing cycle, falling real yields, and a weaker dollar would change the opportunity set.
Fifth: liquidity-sensitive assets stop trading like pure Nasdaq beta. This includes Bitcoin, crypto equities, unprofitable growth, and other long-duration assets. The key is not whether they go up for three days. The key is whether they stop breaking every time tech sells off.
Sixth: flows confirm the story. ETF inflows, stablecoin supply, fund flows into neglected sectors, credit spreads, IPO demand, and secondary-market appetite all matter. Narratives are cheap. Flows are harder to fake.
No single signal is enough. The rotation becomes interesting when several of them line up.
Disclaimer: This article is a market-cycle framework, not investment advice. Any discussion of future market behavior is uncertain. Investing involves risk. Make decisions based on your own financial situation and risk tolerance.