AI stocks are siphoning energy out of the crypto market and turning digital assets into a contrarian play, according to Bitwise chief investment officer Matt Hougan. Instead of piling into Bitcoin and large-cap altcoins for momentum, traders are rotating toward artificial intelligence, robotics and space-related names that currently dominate the narrative in public markets.
Hougan describes the current environment as “brutal” for crypto. In a recent market note, he argued that the asset class has shifted “from momentum trade to contrarian bet,” as capital chases sectors perceived as having clearer short‑term growth stories. High‑flying AI names, including chipmakers and software firms, are now capturing the speculative capital that once flowed instinctively into Bitcoin during risk‑on phases.
The turning point, he suggests, came after the explosive popularity of large language models and the public launch of ChatGPT in late 2022. Since then, AI‑linked equities have posted outsized gains, with companies such as Nvidia becoming central characters in the current market cycle. Space and robotics firms, as well as private companies like SpaceX, are also drawing attention, creating multiple alternative “high‑beta” trades that compete directly with crypto for investor dollars.
This reallocation of risk capital does not mean crypto is fading into irrelevance, Hougan stresses. Instead, the market is undergoing a change in character. During previous bull runs, simply owning broad crypto exposure was often enough to outperform. Today, he says, the market is more selective and rewards a different profile of investor and project.
In his view, contrarian trades demand patience, discipline and a sharper focus on fundamentals. Investors who remain committed to digital assets are increasingly screening for clear revenue streams, proven demand, and business models that function in real‑world conditions rather than relying on narratives or community enthusiasm alone. “Investors still believe in crypto, but now that it’s a contrarian bet, they favor fundamentals over vibes,” Hougan wrote.
That shift in priorities is already visible in performance dispersion across the sector. While headline assets like Bitcoin, Ethereum and Solana have struggled to maintain momentum, several smaller tokens posted notable gains in May. Names such as Hyperliquid, BNB, Zcash and Stellar managed to advance even as the broader market sagged, underscoring how capital is gravitating toward coins with clear stories, tangible utility or strong on‑chain metrics.
According to Hougan, this rotation shows that the era of “buy anything with a ticker” in crypto is over, at least for now. Broad‑based exposure is no longer being rewarded in the same way; instead, markets are favoring projects that can point to user growth, protocol revenue, differentiated technology or a defensible niche. In practical terms, that benefits exchanges, infrastructure protocols, and networks with visible adoption over purely speculative meme tokens.
Macro flows are reinforcing this pattern. Research from major market analysts has linked Bitcoin’s recent softness to a broader capital shift into U.S. equities, especially in AI, defense and energy. As large institutional and retail investors concentrate their risk budgets on these themes, Bitcoin has lost some of its role as the default trade for speculative enthusiasm, particularly among short‑term traders.
Flows in spot Bitcoin exchange‑traded funds highlight this pressure. U.S. spot Bitcoin ETFs recently recorded daily net outflows of around 483 million dollars, extending an 11‑session streak of withdrawals that added up to more than 3.4 billion dollars. This sustained selling from ETF vehicles has weighed on price and sentiment, pushing Bitcoin below the 70,000‑dollar mark and signaling that some institutions are taking profits or reallocating to other assets.
At the same time, legacy overhangs continue to unsettle investors. Wallets linked to the defunct exchange Mt. Gox moved 10,306 BTC, worth roughly 739 million dollars at the time of transfer. Although no immediate sale was confirmed, the movement revived concerns that a large influx of coins could eventually reach the market, adding to supply and amplifying volatility. For traders already nervous about ETF outflows and weak price action, such activity contributes to a more cautious stance.
Despite this combination of factors, Hougan does not see the current phase as the beginning of a structural decline for crypto. Instead, he interprets pockets of strength in select smaller assets as a possible sign that the downturn may be closer to its end than its beginning. Historically, late‑cycle periods often see leadership rotate from large caps to more specialized, fundamentally strong names before a broader recovery takes shape.
He argues that the next chapter for digital assets will be defined by three main forces: fundamentals, regulation and the eventual cooling of the AI trade. On the fundamental side, protocols that can show real‑world adoption, stable cash flows or critical infrastructure roles in the digital economy are likely to be the primary beneficiaries when sentiment improves. Regulation will determine how easily institutional capital can access these opportunities and how comfortable large investors feel owning them over the long term.
The AI boom itself may ultimately play a dual role. In the short run, it diverts attention and liquidity away from crypto. Over the longer term, it could create synergies. Many blockchains are experimenting with AI‑driven tools for trading, compliance and on‑chain analytics, while some projects are building decentralized infrastructure for AI computation and data sharing. If these efforts succeed, they may attract a new class of investors looking at the intersection of AI and Web3 rather than viewing them as competing themes.
For individual investors, the message from this rotation is straightforward but challenging. The easy “momentum beta” of earlier crypto cycles has been replaced by a more selective, research‑driven environment. It is no longer enough to chase whichever coin is trending. Market participants are being forced to evaluate token economics, governance models, competitive moats and regulatory risks in greater detail, much as they would when analyzing traditional equities.
This also changes how risk management should be approached. With large caps under pressure and smaller assets showing both opportunity and heightened volatility, portfolio construction becomes more important. Investors may need to think in terms of core holdings with long‑term theses-such as Bitcoin as a macro asset or Ethereum as a settlement layer-surrounded by a selectively chosen “satellite” basket of projects that demonstrate measurable traction.
The institutional side of the market is undergoing a similar adjustment. Asset managers who previously offered broad crypto exposure as a thematic product are now being asked to justify specific holdings on their fundamentals. This is pushing some firms to develop more sophisticated frameworks for valuing networks, analyzing on‑chain data, and assessing the sustainability of protocol revenues. As these tools mature, they could, in turn, help stabilize the sector by anchoring valuations in observable metrics rather than pure narrative.
Looking forward, several catalysts could reverse the current sentiment gap between AI and crypto. Regulatory clarity on stablecoins, exchange oversight and token classification would remove key sources of uncertainty. Successful launches of new financial products, such as additional ETFs or structured vehicles for altcoins, could attract long‑term capital rather than just short‑term traders. And if AI equities eventually experience their own valuation reset, some of the speculative capital now parked in that sector may come looking for the next high‑growth narrative-and find it again in digital assets.
For now, however, crypto occupies a different role in portfolios than it did during its last peak. It has shifted from being the obvious momentum play to a more contrarian, fundamentals‑first trade. Investors willing to endure volatility and look past the current AI mania may find value in select projects that are quietly building, generating revenue and solving real problems, even as the headlines focus elsewhere.
In Hougan’s framing, this is a more demanding but ultimately healthier phase for the market. If digital assets are to mature into a durable asset class, they will have to compete not just with each other but with every other opportunity in global markets-from AI leaders and defense giants to energy producers and space companies. That competition is now fully underway, and crypto’s next leg of growth will depend on whether it can prove its worth in that broader investment landscape.