AI Capital Expenditure Is Draining Market Liquidity: A Quiet 'Reverse QE'

marsbit2026-02-06 tarihinde yayınlandı2026-02-06 tarihinde güncellendi

Özet

A fundamental shift in market dynamics is occurring due to a capital expenditure cycle in artificial intelligence, which is creating a shortage of financial capital. This contrasts with the previous decade, where low-demand Web 2.0 and SaaS models led to excess capital flooding speculative assets. AI capex functions similarly to fiscal stimulus: companies raise capital by issuing debt or selling assets, and the funds circulate through the economy with a multiplier effect, initially boosting asset prices. However, once idle capital is exhausted, each dollar invested in AI must be pulled from other areas, triggering intense competition for scarce capital. This raises the cost of capital (market rates) and acts as a form of "reverse quantitative easing," negatively impacting portfolio balances. Highly speculative assets, such as cryptocurrencies and meme stocks, are disproportionately affected, while assets with near-term cash flows (e.g., chipmakers like SNDK and MU) outperform. Even well-funded investors, including sovereign wealth funds, are now cash-constrained, forcing asset sales that propagate through markets. This liquidity drain, compounded by potential policy missteps, suggests a challenging environment ahead for risk assets.

Written by: plur daddy

Compiled by: AididiaoJP, Foresight News

We are facing a fundamental shift in the market landscape, driven by a shortage of financial capital due to the capital expenditure cycle in the artificial intelligence sector.

This will have profound implications for asset prices, especially after a long period of capital abundance. The Web 2.0 and SaaS models that fueled the market boom of the 2010s had extremely low capital requirements, which allowed a massive surplus of funds to flow into various speculative assets.

While discussing the current market situation yesterday, I suddenly had a realization. This might be one of the most insightful articles I've written in a long time. I will now break down the underlying logic step by step.

There is a comparable mechanism between AI capital expenditure and government fiscal stimulus, which helps in understanding how it operates.

In fiscal stimulus, the government issues treasury bonds, which are absorbed by the private sector. The government then obtains funds and deploys them. This money circulates within the real economy, creating a multiplier effect. Due to this multiplier, the ultimate impact on financial asset prices is positive.

In AI capital expenditure, hyperscale tech companies raise funds by issuing debt or selling treasury bonds (and other assets), similarly absorbed by the private sector as duration. The companies then invest the proceeds into projects. These funds also circulate in the real economy and create a multiplier, positively impacting financial asset prices.

As long as there is idle money in the economy, this process runs smoothly. It is highly effective and boosts the market broadly. This has been the case for the past few years, where AI capex acted like an additional economic stimulus, boosting both the economy and the markets. However, the problem is: once the idle money is exhausted, every dollar invested in AI must be pulled from other areas. This will trigger an intense battle for capital. When capital becomes scarce, people are forced to rigorously assess its most efficient use, and the cost of capital (i.e., market interest rates) rises accordingly.

I emphasize again: when funds are scarce, a clear divergence will appear among assets. The most speculative assets will suffer disproportionate losses, just as they gained disproportionate returns during times of capital surplus but a lack of productive investment opportunities. From this perspective, AI capital expenditure is effectively acting as a form of 'reverse quantitative easing,' creating a negative rebalancing effect on portfolios.

Fiscal stimulus rarely faces this dilemma because the Federal Reserve typically becomes the ultimate buyer of treasury bonds, thus avoiding a crowding-out effect on other uses of capital.

The term 'funds' here can be used interchangeably with 'liquidity.' The word 'liquidity' is easily confused because it has many different interpretations.

I'll use an analogy: funds or liquidity are like water. You need the water level in the bathtub to be higher to make the financial assets (those floating rubber ducks) rise. There are several ways to do this: either increase the total amount of water (interest rate cuts or quantitative easing), unclog the inlet pipe (such as the current reverse repo operations, a form of 'plumbing'), or reduce the amount of water draining from the tub.

Most current discussions about liquidity in the economy focus only on the money supply. However, the demand for money is equally crucial. What we are facing now is excessively high demand, leading to a crowding-out effect.

There are media reports that the world's wealthiest investors—such as the Saudi sovereign fund and SoftBank Group—are nearly running out of cash. Over the past decade, global investors have 'feasted,' accumulating large holdings of assets. Let's deduce what this means: when [Sam] Altman reaches out asking them to fulfill their previous capital commitments, unlike in the past when funds were abundant, now they must first sell some assets to raise the money. What will they sell? Likely those holdings they are less confident in: selling some recently underperforming Bitcoin, some SaaS software stocks facing industry challenges, redeeming shares from some underperforming hedge funds. And these hedge funds, to meet redemptions, are also forced to sell assets. Falling asset prices damage market confidence, tighten financing conditions, and trigger further selling across more areas... This effect will ripple through the financial markets.

Complicating matters further, Trump has chosen [Kevin] Warsh. This is particularly concerning because he believes the current problem is too much money, when the opposite is true. This is also why a series of market movements have been accelerating since his nomination.

I have been trying to understand why memory chip (DRAM / HBM / NAND) manufacturers like SNDK, MU have significantly outperformed other stocks. Of course, soaring product prices are one reason. But more importantly, the current and near-term earnings of these companies are very strong, even though everyone knows earnings are cyclical and will eventually decline. When the cost of capital rises, the discount rate also increases. Speculative assets with long-duration, future cash flows are pressured, while assets generating cash flows in the near term are favored.

In this environment, cryptocurrency, as a sensitive indicator of liquidity, is naturally hit hard. This is why its recent decline seems bottomless.

Highly speculative retail favorite stocks struggle to maintain gains, and even sectors with improving fundamentals find it difficult to advance.

As the demand for funds exceeds supply, yields on sovereign bonds and credit debt are rising.

Blind optimism and simply being long is no longer viable.

Trend Kriptolar

İlgili Sorular

QWhat is the core argument of the article regarding AI capital expenditure and market liquidity?

AThe article argues that the massive capital expenditure cycle in AI is creating a fundamental shift in the market by causing a shortage of financial capital. This acts as a form of 'reverse QE' (Quantitative Easing), where money is being pulled from other speculative assets to fund AI projects, leading to increased capital costs and a negative rebalancing effect on investment portfolios.

QHow does the article compare AI capital expenditure to government fiscal stimulus?

AThe article draws a parallel: in fiscal stimulus, the government issues bonds that the private sector buys, and the government spends the money, creating a multiplier effect that positively impacts financial assets. Similarly, in AI capex, large tech companies raise funds by issuing debt or selling assets, and the money is invested into projects, also creating a multiplier effect. The key difference is that fiscal stimulus often has the Fed as a backstop buyer, preventing capital from being pulled from other uses, whereas AI capex does not and can lead to a 'crowding out' effect when idle money is exhausted.

QAccording to the article, what happens when the supply of idle money in the economy is exhausted?

AWhen the supply of idle money is exhausted, every dollar invested in AI must be pulled from other areas of the market. This triggers a fierce battle for capital, making capital scarce. This scarcity forces stricter evaluation of capital's most effective use, raises the cost of capital (market interest rates), and causes a disproportionate loss in the most speculative assets.

QWhy does the article suggest that cryptocurrencies are being hit particularly hard in the current environment?

AThe article suggests that cryptocurrencies are a sensitive indicator of liquidity. In an environment where capital demand outstrips supply and liquidity is being drained by AI capex, highly speculative assets like cryptocurrencies suffer deep and seemingly endless declines because they are often the first assets investors sell when they need to raise cash.

QWhat is the significance of the 'bathtub' analogy used in the article to explain liquidity?

AThe 'bathtub' analogy illustrates that financial assets (like rubber ducks) float higher when the water level (liquidity) in the tub is higher. Liquidity can be increased by adding more water (e.g., rate cuts, QE), unclogging the inflow pipe (e.g., reverse repo operations), or reducing the outflow. The current problem is one of excessive demand for the water (capital), which is draining the tub and causing the ducks (assets) to sink.

İlgili Okumalar

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

The article argues that blockchain's fundamental limitation is not the scalability trilemma (decentralization, scalability, security), which has been largely solved, but the lack of **privacy** and, until recently, clear **legitimacy**. Blockchain is described as a slow, expensive, globally shared computer whose core value is censorship resistance and verifiability. While ideal for native digital assets like money (e.g., stablecoins), its default transparency acts as a **tax**, exposing all transactions and enabling MEV extraction, which deters serious institutional capital. Simultaneously, its permissionless nature created regulatory ambiguity. The piece contends that **privacy** is the missing critical feature. It rejects the false choice between total transparency and complete anonymity. Modern cryptography (like zero-knowledge proofs) enables **compliant privacy**: users can prove facts (solvency, KYC status, compliance) without revealing the underlying sensitive data (specific holdings, identities). This preserves auditability for regulators and eliminates the leak of financial information. With recent regulatory progress (e.g., the GENIUS Act) addressing legitimacy, adding default, provably compliant privacy becomes a pure upgrade. It transforms blockchain from a costly, public ledger into a confidential settlement layer, finally bridging the gap to mainstream institutional and individual adoption of on-chain finance.

链捕手4 saat önce

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

链捕手4 saat önce

Optical Chips: Collective Capacity Expansion

The global optical chip industry is experiencing a massive wave of expansion driven by surging AI data center demand. Major players across the US, Japan, Europe, and China are aggressively investing to ramp up production capacity. In the US, Coherent is expanding its 6-inch Indium Phosphide (InP) semiconductor fab in Texas, supported by CHIPS Act funding and a $2 billion strategic investment from NVIDIA. Lumentum is building a new factory for InP optical devices, and Nokia is scaling its advanced photonic chip packaging and testing capabilities. NVIDIA's investments aim to secure future supply of critical lasers and optical interconnect products for AI infrastructure. Japan's JX Advanced Metals, a leading InP substrate supplier, plans a multi-billion yen investment to increase its capacity 7-10 times, strengthening its grip on the crucial upstream materials market. In Europe, IQE and Tower Semiconductor settled a patent dispute and signed a multi-year InP epitaxial wafer supply agreement, highlighting that next-generation silicon photonics platforms will integrate high-performance InP components. STMicroelectronics and Sivers Semiconductors are also expanding silicon photonics production and partnerships. China is rapidly building out its domestic supply chain. Dongshan Precision's subsidiary, Source Photonics, announced a $12 billion project to expand optical chip and module production. Companies like Sanan Optoelectronics and Yunnan Germanium are scaling up InP chip manufacturing and substrate production, moving towards vertical integration from materials to modules. While debate continues around the exact future architecture—whether CPO (Co-Packaged Optics), NPO, or pluggables will dominate—analysts like Morgan Stanley argue the underlying driver is unchangeable: the explosive growth in bandwidth demand. This will inevitably increase the volume of optical engines, lasers, and related content per GPU, regardless of the final technical path. The competition for "more light" in the AI era has intensified into a global, full-chain capacity race.

marsbit6 saat önce

Optical Chips: Collective Capacity Expansion

marsbit6 saat önce

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

链捕手7 saat önce

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

链捕手7 saat önce

1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbit8 saat önce

1996 or 1999? Walsh's First Test is 'How to View AI'

marsbit8 saat önce

İşlemler

Spot
Futures

Popüler Makaleler

F Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Synfutures (F) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Synfutures (F) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Synfutures (F) Varlıklarınızı SaklayınSynfutures (F) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Synfutures (F) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Synfutures (F) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

214 Toplam GörüntülenmeYayınlanma 2024.12.21Güncellenme 2026.06.02

F Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların F (F) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片