In April 2026, global capital markets are experiencing a rare divergence in narratives. On one side, the artificial intelligence sector continues to attract massive inflows, driving valuations for hardware and infrastructure companies ever higher. On the other, the crypto market has fallen silent after a cyclical pullback, with institutional participation remaining extremely limited.
The valuation trajectories of these two asset classes are forming an increasingly wide gap—not just a price divergence, but a reflection of a fundamental misalignment in global capital allocation logic.
Dan Morehead, founder and CEO of Pantera Capital, has offered a precise quantitative assessment. On April 29, Morehead stated at an event in New York that AI stocks are currently fully priced, while Bitcoin remains undervalued by about 43% compared to its long-term historical trend. He remarked that this is the largest market divergence he has seen in his career.
The Facts Behind the Valuation Divide
Morehead’s assessment is grounded in a set of internal quantitative data. According to Pantera’s analytics system, the valuation index for major AI companies currently sits about 33% above its four-year logarithmic trend line. This suggests that the AI sector’s pricing has already factored in a significant portion of future growth expectations. Morehead commented that while AI is indeed very important in the long term and has enormous growth potential, "the market has already priced in much of its future prospects."
Meanwhile, Bitcoin’s relative valuation presents a stark contrast. Pantera’s calculations show BTC currently trading about 43% below its historical logarithmic trend line. Morehead put it simply: "Crypto assets are extremely cheap right now."
This mismatch—AI valuations up 33%, Bitcoin down 43%—creates a total pricing gap of roughly 76 percentage points. Morehead calls this "the largest divergence in history."
Behind this valuation split lies a deeper structural issue: for the world’s largest asset managers, crypto assets remain almost entirely absent from their allocation lists.
In recent interviews, Morehead has repeatedly emphasized a fact the market seriously underestimates: "Most institutional investors have a blockchain allocation of 0.0%—literally zero." In a system managing tens of trillions of dollars in global financial assets, crypto is almost universally ignored, creating an extremely asymmetric allocation landscape.
It’s also notable that even among institutions that have allocated to crypto, participation is highly concentrated. MicroStrategy purchased about 56,235 BTC in April alone, while global Bitcoin ETFs collectively increased holdings by 34,552 BTC in the same period. These numbers far exceed the 11,829 BTC newly mined during that time—highlighting a striking imbalance between demand and new supply.
Based on this, Morehead offers a provocative assessment: this may be the first trade in history where "smart money" enters last. In every previous asset wave, institutional investors with information and capital advantages have typically led the way; but in this blockchain-driven paradigm shift, institutions have largely stayed on the sidelines.
Is AI Really Overpriced?
If we view the market as a pricing system, the current state of the AI sector deserves a more cautious framework. Here, it’s important to distinguish three levels: facts (what has happened), observations (market phenomena), and speculation (possible scenarios). The following content strictly adheres to this classification.
Capital investment in AI infrastructure is expanding at an unprecedented scale. Public disclosures show that in 2026, the world’s four cloud and tech giants—Microsoft, Google, Amazon, and Meta—plan a combined AI capital expenditure of about $660 billion, with Google alone budgeting $185 billion. Meanwhile, Nvidia reported revenue of $68.1 billion for the fourth quarter ending January 2026.
There is a notable mismatch between these massive investments and market returns or expectations. Since the start of 2026, the so-called "Magnificent Seven" tech giants have underperformed the S&P 500 Index. On April 28, a report about OpenAI missing internal revenue and user targets triggered a chain reaction of declines in the AI infrastructure sector—Oracle fell about 3%, and chip stocks like Nvidia, Broadcom, and AMD also dropped.
The AI industry is transitioning from the "build phase" to the "adoption phase." During the build phase, data centers, chipmakers, and cloud infrastructure suppliers are the biggest beneficiaries. But as adoption begins, the market will start to validate the actual productivity gains at the end-user level. If the pace of AI monetization falls short of the growth implied by current capital spending commitments, today’s high valuations may face adjustment pressure.
Returning to Dan Morehead’s valuation comparison, the AI index is 33% above its four-year logarithmic trend, which aligns closely with the industry backdrop described above. This doesn’t mean the AI sector is a bubble—on the contrary, there is solid demand underpinning it—but it does indicate that AI stocks are currently priced with a substantial degree of optimism.
This logic matches Morehead’s view: he believes AI is extremely important and has huge long-term growth potential, but in the short term, "the market price already reflects these positives." In contrast, crypto assets are in a very different pricing environment—expectations are pessimistic, capital is absent, and attention is low.
Structural Causes Behind Institutional Absence
The "zero allocation" of crypto assets at the institutional level is not the result of a single factor. Multiple dimensions—including shifts in macro liquidity, geopolitical and policy disruptions, relative valuation appeal, and the structural stage of the four-year halving cycle—combine to create the current complex picture of institutional hesitancy.
On the liquidity front, the relationship between Bitcoin and global M2 is being re-examined. As of February 2026, US M2 money supply reached $22.667 trillion, continuing to expand month-over-month. However, the price of Bitcoin has not risen in tandem as traditional liquidity models would predict, resulting in a marked divergence. Research institutions note that M2, as a monthly stock indicator, often takes months to affect crypto assets via credit expansion and capital flows, while fast-moving variables like a stronger dollar and geopolitical risks can completely suppress the positive effects of liquidity in the short term.
Geopolitical disruptions are also significant. In April 2026, rising tensions in the Middle East pushed Brent crude oil to $115 per barrel, directly raising inflation expectations and reducing anticipated Fed rate cuts from 50 basis points to 25, with the dollar index climbing accordingly. For institutional investors, a stronger dollar signals tighter global risk appetite, prompting capital to flow back to dollar assets rather than reallocate to crypto. Against this backdrop, even with continued M2 expansion, risk assets remain under pressure in the short term, and institutions’ willingness to allocate to crypto falls accordingly.
From a cross-asset perspective, when the four major tech giants in AI are planning nearly $700 billion in annual capital spending, the capital density effect is pronounced—institutional investors, when allocating across asset classes, see AI as offering a seemingly "more certain" growth story and a more familiar valuation framework. In contrast, crypto assets, lacking widely accepted valuation methodologies, are naturally marginalized in institutional allocation decisions.
Meanwhile, Bitcoin’s own four-year halving cycle is also playing a structural role. Morehead puts it plainly: "The four-year cycle is real." Pantera’s model, based on the patterns of the previous three complete cycles, projects that after peaking in the second half of 2025, Bitcoin is now in a pullback and bottoming phase. This drawdown from the peak is about 50%, which is mild compared to previous cycles that saw corrections of up to 85%. Still, the bottoming process may take six to eight months. For institutions focused on short-term performance, this presents a real participation barrier.
However, from a longer-term perspective, Morehead offers a more structural assessment: Bitcoin has reached so-called "escape velocity"—its status as a global scarce asset is now so secure that "there’s nothing that can derail this process." In this framework, institutions’ current zero allocation is not a rejection of crypto’s value, but rather a historic lag in portfolio positioning.
Multi-Scenario Evolution Forecast
Based on all the facts, data, and logic above, here are three possible paths for market evolution. Note: these are speculative scenarios intended to provide a systematic thinking framework, not definitive predictions.
Scenario One: Valuation Mean Reversion
Assuming marginal improvements in liquidity conditions and easing geopolitical risks, institutional capital begins to systematically focus on crypto assets. Net inflows into Bitcoin ETFs accelerate, and institutional holdings start to rise from near-zero levels. In this process, Bitcoin experiences a valuation recovery relative to AI stocks, while the previously overvalued AI sector undergoes a period of adjustment.
Logic: After extreme narrative polarization, markets tend to revert. When the valuation gap between two sectors reaches historic highs, the motivation for capital rotation from overvalued to undervalued assets increases significantly. History shows that when capital is overly concentrated in one area, it often seeks rebalancing. Morehead’s assessment—that this is "the largest valuation divergence in history"—implies that the probability of mean reversion is statistically rising.
Scenario Two: Continued Divergence Intensifies
Alternatively, the current split may deepen. If AI continues to deliver breakthrough productivity gains and enterprise adoption, its high valuations could gain further fundamental support. The crypto market, lacking new capital inflows, remains constrained by the four-year cycle, sustaining low-level volatility.
Logic: AI’s capital investment is massive, and technology iteration is rapid. While OpenAI may have missed some internal targets, overall industry demand for computing power and model capabilities continues to rise. If the transition from build phase to adoption phase is smooth, valuation support will strengthen. Meanwhile, the four-year cycle in crypto has never failed historically—Morehead himself acknowledges that bottoming may still require 6 to 8 months.
Scenario Three: Systemic Repricing Under Macro Shock
A third scenario stems from external shocks. If the global macro economy faces unexpectedly negative events—such as a sharp resurgence in inflation, a forced reversal of Fed policy, or a significant escalation in geopolitical conflict—both AI stocks and cryptocurrencies could undergo a systemic repricing of risk assets.
Logic: While Bitcoin’s correlation with global M2 has weakened in the short term, liquidity remains one of the most important structural drivers of crypto prices over the long run. Research shows that since 2013, Bitcoin has risen about 700-fold, while the total liquidity of the five major global currencies has grown about 100%. In this extreme stress scenario, crypto’s volatility may be amplified due to its thin institutional base, while AI stocks’ high valuations could be more vulnerable to downward revisions if profit expectations are cut.
Conclusion
The market’s divergence reflects capital making polarized choices between two clear narratives. AI carries the most optimistic expectations for technological progress, while Bitcoin embodies deep concerns about the fragility of the monetary system. These narratives are not mutually exclusive—in Morehead’s words, "there is no world where AI is important but crypto isn’t part of it."
He further notes that AI and blockchain will converge over the long term, and Pantera itself is ramping up investment in this intersection.
When optimism is fully priced into one sector and pessimism is deeply underestimated in another, the valuation divide itself becomes a market signal worth careful scrutiny. This is not a prediction about the future direction of any asset class, but a sober measurement of the current imbalance in global capital allocation.
According to Gate market data, as of April 30, 2026, Bitcoin was quoted at $75,693.5, down 2.01% over 24 hours, with a market cap of about $1.49 trillion and a market share of 56.37%. Short-term volatility persists, but structural discussions about crypto’s long-term value may only now be entering the core agenda of global institutional investors.
