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High-Yield Bond Surge Flags Rising Risk, BTC Mining & AI Infra

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Crypto Breaking News

The AI-driven data-center expansion is increasingly financed through debt, and lenders are weighing risk and opportunity in the AI-infrastructure and crypto-mining nexus. TheEnergyMag’s latest newsletter tracks roughly $33 billion in long-term senior notes raised over the past 12 months, excluding convertible debt, underscoring how traditional lenders view capture risk and growth potential in this space. In parallel, debt markets show widening spreads: AI- and crypto-linked issuers typically pay 7%–9% coupons, versus 4%–5% for regulated utilities. The momentum comes as Nvidia reports robust AI demand, while Bitcoin miners map a path toward dozens of gigawatts of new power capacity to support AI workloads.

Key takeaways

  • AI data-center issuers have raised about $33 billion in long-term senior notes over the past year, excluding convertible debt, illustrating the scale of capital chasing AI compute capacity tied to crypto operations.
  • Debt pricing shows a notable spread: AI/crypto-linked papers are typically priced around 7%–9% coupon, compared with 4%–5% for traditional regulated utilities.
  • Recent placements include CoreWeave at 9.25% in May 2025 and 9% in July 2025, Applied Digital at 9.2% in November 2025, TeraWulf at 7.75%, and Cipher Mining at 7.125% and 6.125% as part of diversified AI-infrastructure financing.
  • Nvidia’s fourth-quarter results underline sustained AI demand as a macro driver for data-center investments, with net income at about $43 billion and revenue near $68.1 billion, up sharply year over year.
  • Bitcoin miners are targeting roughly 30 gigawatts of new power capacity to run AI workloads, a figure that would nearly triple current capacity and signal a coordinated push into AI-centric compute.

Tickers mentioned: $BTC

Sentiment: Neutral

Market context: The move to finance AI infrastructure via high-yield debt sits at the intersection of AI demand, crypto mining expansion, and a debt market that increasingly values long-dated, growth-oriented assets with offtake risk. As lenders price risk, capital flows reveal how investors are balancing the prospect of AI-driven compute with the volatility and energy-intense nature of crypto operations.

Why it matters

The current financing environment highlights a broader redefinition of what counts as infrastructure in the digital era. Projects that blend AI compute with crypto mining—whether repurposed data centers or greenfield AI data-hub builds—are increasingly treated as growth credits rather than traditional utility-style assets. This shift matters for developers and investors because it widens the pool of potential capital, but at a higher financing cost reflective of perceived tail risks, project complexity, and energy demand. The elevated coupons imply lenders are pricing in uncertainties around offtake arrangements, energy supply contracts, and regulatory risk, even as long-term demand for AI workloads remains a tailwind for data-center-heavy businesses.

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The Nvidia earnings backdrop reinforces how AI compute can catalyze investment waves across adjacent sectors. Nvidia’s fourth-quarter performance—net income of about $43 billion and revenue of $68.1 billion, with year-over-year profit growth approaching the mid-to-high double digits—signals robust demand for AI accelerators and the compute capacity that data centers must deliver. While Nvidia is not a crypto-specific company, its results illuminate the demand side of AI infrastructure that, in turn, informs how lenders price risk for related projects. In parallel, Bitcoin miners’ plans to pursue roughly 30 gigawatts of new power capacity for AI workloads suggest a deliberate alignment between hash-rate economics and AI compute needs, potentially shaping energy markets and grid usage for years to come.

The financing narrative also underscores why some observers view the AI-infrastructure supercycle as broader than crypto alone. The sector’s access to capital hinges on how easily developers can secure long-duration debt with credible offtake, and how regulators and utilities respond to aggregate energy demand. The mix of blue-chip AI demand signals and crypto-driven compute pipelines paints a picture of a market that is increasingly comfortable funding ambitious buildouts—yet only under terms that reflect the complexity and risk of these multi-use facilities.

For readers tracking the intersection of AI, crypto, and infrastructure finance, the core takeaway is clarity: lenders are increasingly differentiating between steady, regulated load and growth-oriented, asset-light models that rely on AI-driven demand. That distinction translates into a bifurcated debt market where some projects on the frontier of AI infrastructure can access capital at high yields, while others with less certain offtake or regulatory clarity may see more muted appetite. The practical implication is a potential deceleration in some buildouts if the cadence of funding slows or if risk pricing tightens further, even as marquee projects with visible AI demand and confirmed long-term offtake can attract funding dollars more readily. The convergence of AI compute, crypto mining, and energy capacity decisions therefore remains a critical lens for investors navigating 2026 funding cycles.

Links and references from the reporting track the contours of this evolution. For instance, recent bonds tied to AI infrastructure were highlighted by TheEnergyMag’s analysis, which cites deals ranging into the 7%–9% coupon band. The same narrative is echoed in a presentation from Janus Henderson Investors, drawing on research from BofA Global Research, that underscores selective issuance in the high-yield space for 2026. At the project level, public disclosures and industry reporting have highlighted strategic moves by miners and AI infrastructure players, including stakes and capacity expansions in U.S. sites and AI-driven data-center deployments, which you can corroborate through industry updates linked below.

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Related coverage includes a Canaan-led expansion in Texas mining sites and a Google-backed stake in Cipher Mining as part of broader AI-deal strategies that tie mining assets to compute demand. These developments illustrate how the collateral base for crypto-related data centers is expanding beyond traditional power contracts to include AI workloads and software-defined infrastructure. The broader takeaway is that the convergence of AI and crypto compute is reshaping both the risk-return profile and the capital allocation frameworks for data-center projects across the sector.

For readers seeking the underlying documents and official statements shaping these conclusions, the linked materials offer direct insight into issuer terms, credit ratings, and the strategic narratives driving these financing choices. The discussion remains dynamic: as AI adoption accelerates, lenders will recalibrate risk premia, and developers will adapt by locking in offtake commitments, hedging energy costs, and exploring hybrid models that blend traditional infrastructure with growth-oriented, AI-enabled compute.

What to watch next

  • Upcoming bond issuances by AI-infrastructure developers and crypto-mining operators, including pricing, term sheets, and offtake arrangements.
  • Regulatory developments affecting data-center expansions, energy usage, and crypto mining operations that could influence debt pricing and project viability.
  • Updates on AI workload adoption by mining-centric or multi-use data centers, with potential implications for energy demand and grid resilience.
  • Further commentary from chipmakers and AI platforms on demand trajectories and capital expenditure plans that could influence future risk pricing.

Sources & verification

  • TheEnergyMag newsletter tracking about $33 billion in long-term senior notes tied to AI data-center and related projects: https://www.minerweekly.com/p/33-billion-bonds-ai-arms-race?
  • Janus Henderson Investors article on high-yield bonds outlook citing BofA Global Research: https://www.janushenderson.com/en-ch/investor/article/high-yield-bonds-outlook-increasing-selectivity-in-2026/
  • Canaan’s stake expansion in Texas mining sites: https://cointelegraph.com/news/canaan-buys-49-stake-texas-bitcoin-mining-sites-40m
  • Google’s stake in Cipher Mining as part of an AI deal: https://cointelegraph.com/news/google-acquires-5-4-stake-in-bitcoin-mining-company-cipher-mining-in-ai-deal

AI infrastructure financing reshapes risk in crypto data centers

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Crypto World

Bitcoin Adoption Booms While Bear Market Deepens: Watch These Signals

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Cryptocurrencies, Business, Bitcoin Price, Adoption, Markets, Price Analysis, Market Analysis, MicroStrategy, Whale, Bitcoin Adoption, Bitcoin ETF, ETF, Hashrate

Since dropping by 35% from Jan. 14 to Feb. 5, Bitcoin (BTC) has consolidated in a range from $60,000 to $70,000 over the past 22 days. At the same time, several BTC adoption-linked metrics are moving in different directions across exchange-traded funds (ETFs), whales, miners and corporate Bitcoin treasuries.

These divergences highlight steady capital commitment beneath muted price action and how each signal fits into the bigger picture.

Bitcoin ETF flows remain negative

The 90-day rolling average of US spot Bitcoin ETF net flows has dropped to -$2.18 billion. Over the past two years, the metric has turned negative only twice: from March to May 2025, and in the current stretch that began on December 11, 2025. In both instances, Bitcoin followed with a corrective phase.

Cryptocurrencies, Business, Bitcoin Price, Adoption, Markets, Price Analysis, Market Analysis, MicroStrategy, Whale, Bitcoin Adoption, Bitcoin ETF, ETF, Hashrate
Bitcoin ETF flows USD (90-day). Source: bold.report

When the rolling average turns negative, it means more money is leaving ETFs than coming in over a longer period. That reduces buying pressure, weakens overall demand, and can make it harder for prices to move higher.

A move back above zero, followed by steady inflows, may mark the return of institutional participation. Sustained positive readings tend to align with stronger price action from BTC, alongside improving liquidity conditions.

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BTC whale accumulation versus dominant trend

CryptoQuant data tracks the one-year change in total whale holdings and its 365-day moving average. Addresses holding 1,000 to 10,000 BTC added more than 200,000 BTC from June to November 2023, while the price ranged from $25,000 to $30,000.

When the raw one-year change crosses above its 365-day average, whales are accumulating faster than their longer-term trend. That crossover in 2023 coincided with supply absorption during sideways trade, which eventually led to BTC’s bullish rally.

Cryptocurrencies, Business, Bitcoin Price, Adoption, Markets, Price Analysis, Market Analysis, MicroStrategy, Whale, Bitcoin Adoption, Bitcoin ETF, ETF, Hashrate
Bitcoin one-year change in whale holdings. Source: CryptoQuant

Thus, a bullish trend may unfold for BTC once the one-year change sustainably moves above its moving average (365-SMA), signaling renewed large-scale absorption.

Hash rate and infrastructure signal

Bitcoin’s 30-day mean hash rate stands near 0.99 ZH/s after peaking at 1.10 ZH/s in November 2025. Both hash rate and price have moved lower in recent weeks.

Hash rate measures the computational power securing the network and reflects miner investment in hardware and energy capacity. Rising hash rate during price consolidation points to infrastructure expansion independent of short-term price gains.

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Cryptocurrencies, Business, Bitcoin Price, Adoption, Markets, Price Analysis, Market Analysis, MicroStrategy, Whale, Bitcoin Adoption, Bitcoin ETF, ETF, Hashrate
BTC mean hash rate (30-day moving average). Source: Glassnode

If the hash rate trends higher while the price trades sideways, it points to a stronger long-term commitment from miners. A sustained divergence, where hash rate rises ahead of price, can signal growing confidence within the mining sector.

Likewise, miner economics must also improve. Stabilizing the hash price and lower miner sell pressure confirms that rising computational power is backed by healthier revenue conditions rather than tightening margins.

Related: Analysts reject Jane Street ‘10 a.m. dump’ claims, say Bitcoin isn’t easily manipulated

Corporate BTC treasury concentration cools

A recent report from bitcointreasuries.net noted that treasuries added about 43,200 BTC in January, with Strategy accounting for about 40,150 BTC.

Zooming out, the chart shows that corporate accumulation by Strategy has slowed significantly since late 2024. Monthly additions peaked near 148,000 BTC in November 2024 and 87,000 BTC in July 2025.

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Recent monthly figures are materially lower, and the last 30-day increase represents only a marginal change relative to the 1.13 million BTC now held by public companies.

Cryptocurrencies, Business, Bitcoin Price, Adoption, Markets, Price Analysis, Market Analysis, MicroStrategy, Whale, Bitcoin Adoption, Bitcoin ETF, ETF, Hashrate
Monthly BTC addition by Strategy. Source: bitcointreasuries.net

The latest monthly net increase equates to roughly 0.1% growth relative to total public company holdings. That pace signals stability rather than acceleration in treasury expansion.

For BTC price, broader and accelerating treasury inflows help absorb available supply more effectively. Slower increases, by contrast, signal companies are largely maintaining positions rather than driving new demand.

Related: Bitcoin bear market not ‘over already’ as price rejects at $68K trend line