AI가 또 암호화폐 시장의 자금을 빨아들이고 있는 걸까? 2026년 자금 흐름 뒤에 숨겨진 진실
- 핵심 의견: 2026년 상반기, 암호화폐 시장 자금은 AI 인프라 섹터에 의해 대거 흡수되었으며, 미국 금 및 비트코인 ETF에서 약 120억 달러의 순유출이 발생한 반면,同期 반도체 ETF는 200억 달러 이상의 순유입을 기록했다. 이번 자금 이동은 동일한 고위험 자산군 내에서의 전환일 뿐 전면적인 안전 자산 선호 현상은 아니며, 이러한 구조적 또는 주기적 성격에 대한 해석 차이가 비트코인의 바닥 형성 방식을 결정한다.
- 핵심 요소:
- 4월 이후, 미국 금 및 비트코인 ETF에서 합계 약 120억 달러의 순유출이 발생한 반면, 반도체 ETF는 200억 달러 이상의 순유입을 기록하며, 자금은 시장을 떠난 것이 아니라 단순히 트랙을 변경했을 뿐이다.
- 미국 현물 비트코인 ETF는 6월에 약 45억 달러의 순유출을 기록하며 출시 이후 최악의 월간 성과를 보였고, 누적 유입액은 처음으로 마이너스로 돌아섰다.
- 5대 기술 대기업의 2026년 AI 인프라 자본 지출은 6000억~7250억 달러에 달할 것으로 예상되며, 이 중 약 70%가 칩 및 데이터 센터에 직접 유입된다.
- 채굴 기업들이 AI 서비스로 전환하고 있으며, TeraWulf는 약 73%의 플러스 수익률을 기록했다. 연말까지 상장 채굴 기업의 최대 70% 수익이 AI 계약에서 발생할 것으로 예측되며, 이는 생존 압력에 따른 구조적 전환을 반영한다.
- 시장은 자금의 성격에 대해 의견이 분분하다. Michael Saylor는 주기적 순환(로테이션)이라고 보지만, 분석가들은 자금이 수년간의 AI 자본 주기에 묶일 경우 회귀 시점이 상당히 길어질 수 있다고 경고한다.
- 7월 초 비트코인 ETF가 순유출을 멈추고 가격이 다시 6만 3000달러를 돌파했으며, 거래소 보유량이 7년 만에 최저치로 떨어진 것은 고평가된 AI 섹터에서 자금이 회귀하는 초기 신호로 간주된다.
- 투자자들은 암호화폐와 AI를 동일한 위험 선호도의 양 끝단으로 인식하고, ETF 자금 흐름, AI 밸류에이션 과밀도, 규제 진전이라는 세 가지 주요 축의 공명(Resonance)에 주목해야 한다.
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 siphoned off 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 combined net outflows 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 alerted the market is the nature of this capital migration. According to an analysis by Investing.com, past crypto drawdowns were often accompanied by widespread risk aversion, 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 combined net outflows of ~$12 billion, while semiconductor ETFs have seen net inflows of over $20 billion.
US spot Bitcoin ETFs saw net outflows of ~$4.5 billion in June, their worst month on record.
Capital expenditures on AI infrastructure by the five major tech giants are expected to reach approximately $600 billion to $725 billion in 2026.
There is a clear divergence in market opinions on whether this is a "structural shift" or a "cyclical rotation."
Early signals of potential capital reflowing into crypto appeared in early July, with Bitcoin briefly reclaiming the $63,000 level.
Bitcoin exchange reserves have dropped to their lowest in nearly seven years, with long-term holders accelerating accumulation.
Where Is Capital Flowing: A Battle for Marginal Dollars
What Actually Happened
The same cautious sentiment is pushing capital away from crypto on one hand and pulling it towards AI infrastructure on the other, and the expenditure scale of the latter is hard 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, networking, and data centers. Nvidia is at the center of this construction wave, with its quarterly revenue guidance at approximately $91 billion, up about 85% year-over-year.
Why This Time is Different
As reported by Tech Times, Samir Kerbage, Chief Investment Officer of crypto asset management firm Hashdex, stated in a report in early July that the weakness in crypto 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 arguably 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 towards AI. Additionally, SpaceX's IPO on June 12 absorbed another wave of risk capital. Meanwhile, US spot Bitcoin ETFs saw net outflows of approximately $4.5 billion in June, the worst monthly performance since their launch, turning their year-to-date cumulative flows negative for the first time. For tracking real-time prices of BTC and major assets, you can check the market page on MEXC.
Miners' Pivot is the Most Telling Indicator
According to an analysis by Crypto Economy, the movement of Bitcoin miners might be the most revealing indicator. Companies that have retrofitted data centers to provide computing power for AI clients, such as TeraWulf, recorded positive returns of about 73% in 2026, while mining companies still focused purely on Bitcoin mining posted negative returns during the same period. Estimates suggest that 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 this as a "cyclical rotation of capital," arguing that billions in ETF outflows are manageable against Bitcoin's trillion-dollar market cap. However, the analysis also warns that the key to determining whether this migration is merely cyclical lies in the nature of the departing capital — if it heads into an AI capital cycle spanning several years, this money tends to be locked in long-term, rather than returning in the short term.
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. However, when it flows into a capital cycle supported by multi-year contracts and construction cycles, 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 Returning?
Early Indicators
Entering July, the scales began to tip subtly. According to InvestorIdeas citing Bitfire Group Research, after a six-month rally, AI assets are facing dual structural pressures of high valuations and crowded trades. In contrast, Bitcoin, after its deep correction, is viewed as being in a "value zone." Last week, spot Bitcoin ETFs finally broke a string of consecutive net outflows, and Bitcoin reclaimed the $63,000 level. The research firm believes that the capital rotation from AI to crypto is still in its early stages.
Structural Conditions Supporting a Return
According to Tech Times, several supply-side data points are at historically rare levels: Bitcoin exchange reserves have fallen to their lowest in about seven years, long-term holders are accumulating at the fastest pace in years, and Bitcoin's volatility is decreasing cycle by cycle. Hashdex and Charles Schwab believe that once the AI trade cools down, macroeconomic policy shifts, or regulatory progress is made, crypto could be well-positioned to absorb returning capital. However, Schwab also notes that summer is typically a seasonally weak period for institutional Bitcoin buying.
Implications for Investors and Potential Risks
For investors, a more prudent approach is to view crypto and AI as two ends of the same risk appetite spectrum, rather than unrelated standalone stories. According to Investing.com, until a clear reversal in flows is confirmed, trying to precisely time the bottom often means fighting against capital flow data. Investors willing to allocate to crypto can accumulate in batches within established support ranges and manage position sizing to withstand ongoing volatility.
The risks are equally clear. First, if the stickiness of the AI capital cycle exceeds expectations, crypto could be starved of marginal capital for a longer period. Second, the macroeconomic environment is not favorable — according to Tech Times, Deutsche Bank expects two Fed rate hikes in 2026. If growth stocks come under pressure, speculative capital will need a new home, but it may not necessarily flow immediately into crypto. Third, the sustainability of July's rebound depends on whether ETF flows genuinely turn positive, rather than being merely a technical short-covering bounce.
For investors looking to track market movements and manage positions during this capital battle, you can view real-time spot and derivatives data on MEXC and conduct comprehensive research incorporating ETF flows and volatility.
Exclusive Insights from the MEXC Crypto Pulse Research Team
The truly important aspect of this theme isn't the conclusion that "AI stole crypto's money," but the deeper truth it reveals: Bitcoin is increasingly behaving like a high-beta asset competing for marginal dollars within the global risk budget against AI, rather than a narrative separate from 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 market's most common mistake is treating "structural" and "cyclical" as a binary choice. A more accurate understanding is this: in the short term, AI and crypto are indeed competing for the same pool of capital; in the long term, they aren't necessarily a zero-sum game. If agentic commerce truly materializes, programmable, borderless financial infrastructure could become a necessity, and that's precisely where blockchain finds its utility. In other words, every dollar flowing into AI today isn't necessarily an enemy of crypto.
For investors, what matters most next isn't the price, but the confluence of three clues: whether ETF flows consistently turn positive, whether AI sector valuations and crowding peak and decline, and whether regulatory progress (such as stablecoin legislation and relevant frameworks) materializes. If all three improve together, the capital return is sustainable; if they conflict, the market is more likely to oscillate in uncertainty.
From a cross-asset perspective, the lesson of this theme is simple: in an environment of limited liquidity, 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 Siphoning Capital Away from the Crypto Market?
Based on capital flow data, this phenomenon was indeed observed in the first half of 2026. According to market data, US gold and Bitcoin ETFs saw combined net outflows of approximately $12 billion since April, while semiconductor ETFs saw net inflows of over $20 billion during the same period. Capital hasn't left the market but has shifted from crypto and gold to the AI and chip sectors. However, early signs of potential capital returning to crypto appeared in early July, and whether the trend reverses remains to be seen.
Why Can the AI Sector Attract So Much Capital?
The core reason is the massive scale and visible demand. According to market data, the five major US tech giants' AI infrastructure capital expenditures in 2026 are estimated at $600 billion to $725 billion, with the majority directed towards chips, servers, and data centers. For investors, a sector backed by multi-year contracts and clearly visible demand is naturally more attractive compared to a high-volatility asset experiencing shrinking inflows. This is the direct reason for the sustained capital influx into AI.
Is This Capital Rotation Structural or Cyclical?
There is significant divergence in the market. One camp, represented by Michael Saylor, views this as a "cyclical rotation," arguing that short-term outflows do not change Bitcoin's long-term value. The other camp believes that because the departing capital is heading into a multi-year AI capital cycle, the return timeline will be significantly extended, making it closer to a structural shift. The key determining factors are the nature of the departing capital and when AI valuations peak.
Why Are Bitcoin Miners Pivoting to AI?
This is primarily a survival choice driven by profitability pressure. According to market analysis, as mining profitability declines and network difficulty increases, mining companies that have retrofitted their data centers to provide computing power for AI are seeing significantly higher returns. For example, TeraWulf recorded positive returns of about 73% in 2026, while pure Bitcoin miners posted negative returns. Estimates suggest that by year-end, up to 70% of the revenue of listed mining companies could come from AI contracts. This pivot itself constitutes a 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 net outflows and Bitcoin reclaiming $63,000 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 at near seven-year lows, accelerated accumulation by long-term holders, and potential regulatory progress. However, summer is typically a seasonally weak period for institutional Bitcoin buying, and the sustainability of the return depends on whether capital flows genuinely turn positive.
How Should Ordinary Investors Approach This Capital Battle?
The key is to view crypto and AI as two ends of the same risk appetite spectrum, avoiding a portfolio that is "nominally diversified but substantially correlated." According to market analysis, trying to catch the bottom precisely before a clear reversal in capital flows is often counterproductive. A more prudent approach is to accumulate in batches within established support ranges and control position sizes to withstand ongoing volatility. At the same time, closely monitor the three main lines: ETF flows, AI sector valuations, and regulatory progress.
Disclaimer
This article is for informational purposes only and does not constitute investment advice, financial advice, legal advice, tax advice, or trading recommendations. The prices of crypto assets, stocks, and related financial assets can fluctuate significantly, carrying the risk of total loss of principal. Readers should conduct their own research (DYOR) and evaluate their own risk tolerance, consulting licensed professionals when necessary. The MEXC Crypto Pulse team assumes no responsibility for any losses arising from the use of the information in this article.

