AI 又在抽走加密市场的资金？2026 年资金流向背后的真相
Overview
Entering the second half of 2026, crypto investors are repeatedly asking the same question: Is the money that might have flowed into Bitcoin being absorbed by artificial intelligence once again? This doubt is not an emotional guess but is backed by solid capital flow data. According to data cited by AMBCrypto, since April, US gold and Bitcoin ETFs have seen a combined net outflow of approximately $12 billion, while during the same period, US semiconductor ETFs attracted over $20 billion in net inflows – capital hasn't left the market, it has just switched tracks.
What truly alarmed the market was the nature of this capital migration. According to an analysis by Investing.com, past crypto drawdowns were often accompanied by a broad risk-off move, with almost all assets falling simultaneously; this time, however, capital is moving from one high-volatility theme to another. This distinction determines how Bitcoin's bottom will form.
Key Takeaways
Since April, US gold and Bitcoin ETFs have seen a combined net outflow of approximately $12 billion, while semiconductor ETFs have seen net inflows exceeding $20 billion.
US spot Bitcoin ETFs saw a net outflow of approximately $4.5 billion in June, their worst month since launch.
The five major tech giants' 2026 AI infrastructure capital expenditure is projected to be between approximately $600 billion and $725 billion.
There is a clear market divide between viewing this as a "structural shift" or a "cyclical rotation."
Early signals of potential capital rotation back into crypto emerged in early July, with Bitcoin briefly reclaiming the $63,000 level.
Bitcoin exchange reserves have fallen to their lowest level in about seven years, with long-term holders accelerating accumulation.
Where Is the Capital Flowing: A Battle for Marginal Dollars
What Exactly Happened
The same cautious sentiment pushes capital away from crypto on one hand and pulls it towards AI infrastructure on the other, with the latter's expenditure scale being impossible to ignore. According to Investing.com, the five US hyperscale cloud providers are expected to spend approximately $725 billion on AI infrastructure in 2026, with about 70% – nearly $450 billion – going directly to chips, servers, networks, and data centers. Nvidia is at the center of this construction wave, with its quarterly revenue guidance around $91 billion, representing approximately 85% year-over-year growth.
Why This Time Is Different
According to a report by Tech Times, Samir Kerbage, Chief Investment Officer at crypto asset management firm Hashdex, stated in an early July report that crypto's weakness more likely reflects investors allocating capital elsewhere rather than a problem with the digital asset ecosystem itself. The logic is straightforward: when a sufficiently compelling new narrative emerges, capital flows towards it, starving other asset classes for a period. Generative AI is precisely one of the strongest narratives in recent years.
Key Data: The Capital Divide Between Crypto and AI
Diversion at the ETF Level
According to Tech Times, US tech companies like Microsoft, Amazon, Alphabet, and Meta are expected to have combined capital expenditures exceeding $650 billion in 2026, with the majority directed toward AI; SpaceX's IPO on June 12 also absorbed another wave of risk capital. Meanwhile, US spot Bitcoin ETFs saw a net outflow of approximately $4.5 billion in June, their worst monthly performance since the launch of spot funds, turning the year-to-date cumulative flow negative for the first time. To track real-time prices of BTC and major assets, you can check the market page on MEXC.
Miners' Pivot Tells the Most Compelling Story
According to an analysis by Crypto Economy, the movement of Bitcoin miners might be the most revealing indicator. Companies that have repurposed their data centers to provide computing power for AI clients, such as TeraWulf, recorded positive returns of approximately 73% in 2026, while mining companies still focused solely on pure Bitcoin mining posted negative returns over the same period. According to their estimates, by year-end, up to 70% of the revenue of publicly-listed mining companies could come from AI contracts – this is less an opportunistic diversification and more a survival response to declining mining profitability.
Structural Shift or Cyclical Rotation
Two Opposing Interpretations
The core of the disagreement lies in whether the departed capital will return. According to Crypto Economy, Strategy Executive Chairman Michael Saylor characterizes it as a "cyclical capital rotation," arguing that billions in ETF outflows are manageable against Bitcoin's trillion-dollar market cap. However, the analysis also warns that the key to judging whether this migration is merely cyclical lies in the nature of the departing capital – if it heads into a multi-year AI capital cycle, these funds tend to be locked in for the long term rather than returning quickly.
Why This Distinction Matters
According to Investing.com, when capital flows from crypto to Treasuries or money markets, it can return quickly once sentiment improves; but when it flows into a capital cycle supported by multi-year contracts and construction timelines, like AI infrastructure, the timeline for its return is significantly extended. This is the most practical implication of the "structural" vs. "cyclical" debate for investors.
July's Reversal Signal: Is Capital Rotating Back?
Early Signs
Entering July, the balance tipped subtly. According to Bitfire Group Research cited by InvestorIdeas, after a six-month rally, AI assets face dual structural pressures of high valuations and crowded trades, while deeply corrected Bitcoin is seen as a "value zone"; last week, spot Bitcoin ETFs finally broke a streak of consecutive net outflows, and Bitcoin reclaimed the $63,000 level. The firm believes the rotation of capital from AI to crypto is still in its early stages.
Structural Conditions Supporting the Rotation
According to Tech Times, several supply-side data points are at historically rare levels: Bitcoin exchange reserves are at their lowest in about seven years, long-term holders are accumulating at the fastest pace in years, and Bitcoin's volatility is declining cycle by cycle. Hashdex and Charles Schwab believe that once the AI trade cools down, macro policy pivots, or regulatory progress is made, crypto is poised to absorb returning capital; however, Schwab also notes that summer is typically a seasonally weak period for institutional Bitcoin buying.
What It Means for Investors and Potential Risks
For investors, a more sober approach is to view crypto and AI as two ends of the same risk appetite spectrum, rather than unrelated independent stories. According to Investing.com, until the direction of flows clearly reverses, attempting to precisely time the bottom often means fighting against capital flow data; investors willing to allocate to crypto can build positions incrementally within established support ranges and manage position sizes to withstand sustained volatility.
The risks are equally clear. First, if the stickiness of the AI capital cycle exceeds expectations, crypto may remain starved of marginal incremental capital for a longer period. Second, the macro environment is not friendly – according to Tech Times, Deutsche Bank expects two rate hikes from the Fed in 2026; if growth stocks come under pressure, speculative capital will need a new home, but the direction may not immediately point to crypto. Third, whether July's rebound is sustainable depends on whether ETF flows truly turn positive, not just a one-off technical short-covering.
For investors looking to track market conditions and manage positions during this capital contest, real-time spot and futures data can be viewed on MEXC, combined with comprehensive analysis of ETF flows and volatility.
Exclusive View from the MEXC Crypto Pulse Research Team
The truly important aspect of this theme is not the conclusion that "AI stole crypto's money," but the deeper truth it reveals: Bitcoin increasingly behaves like a high-beta asset competing with AI for marginal dollar allocation within the global risk budget, rather than an alternative narrative independent of traditional finance. When the capital flow curves of semiconductor ETFs and Bitcoin ETFs show a mirror-image relationship, crypto's pricing logic is deeply intertwined with the entire risk asset universe.
The most common market misinterpretation is framing "structural" vs. "cyclical" as a binary choice. A more accurate understanding is: in the short term, AI and crypto are indeed competing for the same pool of capital; in the long term, they are not necessarily zero-sum – if AI-driven agentic commerce truly materializes, programmable, borderless financial infrastructure could become a necessity, precisely where blockchain excels. In other words, every dollar flowing into AI today is not necessarily an enemy of crypto.
For investors, what should be watched next is not just price, but the convergence of three key signals: Whether ETF flows consistently turn positive; whether AI sector valuations and crowding peak and decline; and whether regulatory progress (such as stablecoin legislation and related frameworks) materializes. If all three improve in tandem, the rotation back is sustainable; if they contradict each other, the market is more likely to oscillate in a tug-of-war.
From a cross-asset perspective, the lesson from this theme is straightforward: in a liquidity-constrained environment, narrative is the gravitational field for capital. Understanding the flow of capital between AI and crypto has, to some extent, become a prerequisite for understanding Bitcoin's next move.
Frequently Asked Questions
Is AI Really Draining Capital from the Crypto Market?
Based on capital flow data, this phenomenon did indeed exist in the first half of 2026. According to market data, since April, US gold and Bitcoin ETFs have seen a combined net outflow of approximately $12 billion, while semiconductor ETFs saw net inflows exceeding $20 billion over the same period. Capital hasn't left the market but shifted from crypto and gold towards AI and chip sectors. However, early signs of potential capital rotation back into crypto appeared in early July; whether the trend reverses still requires observation.
Why Can the AI Sector Attract So Much Capital?
The core reason is the massive and visible demand. According to market data, the five major US tech giants are projected to spend between $600 billion and $725 billion on AI infrastructure in 2026, with the majority directed towards chips, servers, and data centers. For investors, a sector supported by multi-year contracts and clear, visible demand is naturally more attractive than volatile assets experiencing shrinking inflows. This is the direct reason for sustained capital flow into AI.
Is This Capital Rotation Structural or Cyclical?
There is a clear market divide. One camp, represented by Michael Saylor, views it as a "cyclical rotation," arguing that short-term outflows do not change Bitcoin's long-term value. The other camp argues that since the departing capital is heading into a multi-year AI capital cycle, the timeline for its return will be significantly extended, making it closer to a structural shift. The key to judgment lies in the nature of the departing capital and when AI valuations peak.
Why Are Bitcoin Miners Pivoting to AI?
It's primarily a survival choice driven by profitability pressure. According to market analysis, as mining profitability declines and network difficulty rises, mining companies that have repurposed their data centers to provide computing power for AI see significantly higher returns. For example, TeraWulf recorded positive returns of approximately 73% in 2026, while pure Bitcoin mining companies posted negative returns. According to estimates, up to 70% of publicly-listed mining companies' revenue could come from AI contracts by year-end. This pivot itself constitutes part of the capital outflow from pure crypto operations.
Will Capital Flow Back into the Crypto Market?
This is possible but not yet confirmed. According to market views, Bitcoin ETFs breaking their streak of consecutive net outflows and Bitcoin reclaiming the $63,000 level in early July are seen by some institutions as early signals of capital rotating back from the high-valuation AI sector. Supporting factors include exchange reserves being at approximately seven-year lows, long-term holders accelerating accumulation, and potential regulatory progress. However, summer is typically a seasonally weak period for institutional Bitcoin buying, and the sustainability of the rotation back depends on whether capital flows truly turn positive.
How Should Ordinary Investors Navigate This Capital Contest?
The key is to view crypto and AI as two ends of the same risk appetite spectrum, avoiding portfolios that are "nominally diversified but effectively concentrated." According to market analysis, attempting to precisely time the bottom before a clear reversal in capital flows is often counterproductive; a more prudent approach is to build positions incrementally within established support ranges and manage position sizes to withstand sustained volatility. Simultaneously, closely track the three main pillars: ETF flows, AI sector valuations, and regulatory progress.
Disclaimer
This article is for informational purposes only and does not constitute any investment advice, financial advice, legal advice, tax advice, or trading recommendation. Crypto assets, stocks, and related financial asset prices can be highly volatile, carrying the risk of total principal loss. Readers should conduct their own research (DYOR) and assess their own risk tolerance, consulting a licensed professional when necessary. The MEXC Crypto Pulse team is not responsible for any losses incurred from using the information in this article.
