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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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KCS token price outlook as KuCoin taps Zypto for everyday crypto payments

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as KuCoin taps Zypto for everyday crypto payments
as KuCoin taps Zypto for everyday crypto payments
  • KuCoin’s Zypto integration expands KCS use cases into everyday crypto payments.
  • KCS token price remains weak as volume stays low despite a positive adoption narrative.
  • Key levels to watch are $8.52 support and $8.66 for short-term trend reversal.

KuCoin crypto exchange has taken another step toward expanding real-world crypto usage by integrating its payment service with Zypto, a move that places everyday spending back at the centre of the digital asset conversation.

The partnership links KuCoin Pay with Zypto’s payment infrastructure, allowing users to spend cryptocurrencies directly without routing funds through traditional banking rails.

KuCoin’s partnership with Zypto

This development is designed to close the gap between holding crypto and actually using it, which has long been one of the industry’s biggest adoption challenges.

Through the Zypto ecosystem, users can now make practical payments such as buying gift cards, paying utility bills, topping up mobile airtime, or funding crypto-linked cards.

The integration supports dozens of digital assets, including KuCoin’s native token, KuCoin Token (KCS), positioning KCS closer to daily transactional use rather than pure exchange utility.

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For KuCoin, the move strengthens its broader strategy of building payment rails that sit alongside trading, staking, and yield products.

For users, it reduces friction by allowing them to spend crypto balances directly instead of converting to fiat first.

This shift matters because tokens that gain real-world utility often benefit from stronger long-term narratives, even if the short-term price reaction is muted.

KuCoin Token price reaction

Despite the positive headline, KuCoin Token (KCS) price action has remained cautious, reflecting a broader market reality where fundamentals and price do not always align immediately.

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At the time of writing, the KCS token is trading around $8.61, placing it well below its historical peak but comfortably above long-term cycle lows.

The token’s market capitalisation sits near $1.14 billion, which keeps it within the mid-cap range where sentiment can change quickly on relatively modest capital flows.

Short-term performance has been mixed, with KCS down roughly 2.2% over the past 24 hours while still showing gains on a weekly and biweekly basis.

Longer timeframes tell a more defensive story, as the token remains significantly lower on a one-year view, reflecting sustained pressure across exchange tokens.

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Volume trends offer additional context, as 24-hour trading activity rose by more than 20% but remains low in absolute terms.

This suggests that recent price movement is not being driven by aggressive accumulation or distribution.

Instead, the decline appears more like a slow, liquidity-driven drift rather than a reaction to negative news.

Broader market conditions support this view, as Bitcoin has been slightly positive while the total crypto market has remained largely flat.

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There is no clear evidence of derivatives-driven selling, sector rotation, or defensive flows targeting KCS cryptocurrency specifically.

This points to an isolated weakness rather than a systemic issue tied to KuCoin or its token.

From a technical perspective, KCS is currently trading below its short-term moving averages, which keeps near-term momentum tilted to the downside.

The failure to hold the 7-day and 30-day simple moving averages has reinforced a cautious bias among short-term traders.

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KCS token price analysis
KuCoin Token price chart | Source: TradingView

Until these levels are reclaimed, upside attempts may continue to face selling pressure.

That said, the absence of panic selling suggests that downside risk may remain measured unless broader market sentiment deteriorates.

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MARA’s AI Data Center Pivot: Starwood Partnership Targets 2.5 GW

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MARA's AI Data Center Pivot: Starwood Partnership Targets 2.5 GW

Bitcoin miner MARA Holdings has entered a strategic partnership with Barry Sternlicht’s Starwood Capital Group to convert its existing mining sites into data center infrastructure for artificial intelligence and cloud computing.

MARA shares jumped approximately 17% in after-hours trading following the February 26 announcement.

Joint Venture Targets 2.5 GW Capacity

The two companies will jointly develop, finance, and operate data center projects across MARA’s existing portfolio. Starwood Digital Ventures, the firm’s data center platform, will handle design, construction, tenant sourcing, and operations. MARA will contribute sites with access to low-cost energy.

The joint platform targets approximately 1 gigawatt of near-term IT capacity, with a pathway to more than 2.5 gigawatts. The facilities will be designed to switch workloads between Bitcoin mining and AI compute depending on market conditions and customer demand. MARA will have the option to retain up to 50% ownership in the joint venture, with both companies sharing development costs and profits. Financial terms were not disclosed.

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“Our partnership with Starwood will allow us to turn power certainty into capacity certainty,” said MARA CEO Fred Thiel, adding that the joint venture offers a more capital-efficient approach to infrastructure buildout.

Starwood Capital manages more than $125 billion in assets. Starwood Digital Ventures operates a 94-person team with data center expertise across more than 10 GW.

Miners Pivot Toward AI Infrastructure

The announcement coincided with MARA’s fourth-quarter earnings, which revealed a $1.7 billion net loss driven largely by unrealized writedowns on its Bitcoin holdings. Quarterly revenue came in at $202 million, down 6% from the same period a year earlier. The company trails only Michael Saylor’s Strategy Inc. in corporate Bitcoin holdings.

MARA’s move fits a pattern across the mining sector. Companies that once focused solely on Bitcoin production are repurposing their energy assets and physical infrastructure for AI workloads, attracted by shorter lead times compared to building new facilities from scratch.

Several miners that embraced this transition early, including IREN, TeraWulf, and Cipher Mining, have seen their market capitalizations outpace MARA’s despite producing less Bitcoin mining hash power. Meanwhile, Starboard Value has taken a significant stake in Riot Platforms, pressuring the Texas-based miner to accelerate its own data center conversion efforts.

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JLL and Paul Weiss served as MARA’s strategic and legal advisors.

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Jack Dorsey’s Block Announces 4,000 Job Cuts in AI Overhaul

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Jack Dorsey’s Block Announces 4,000 Job Cuts in AI Overhaul

Bloomberg reported earlier this month that 10% of Block’s workforce could be cut during annual performance reviews as part of a broader overhaul.

Jack Dorsey’s payments company Block will cut over 4,000 of its staff, with its co-founder pinning the move on the rapid acceleration of AI.

“We’re already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company, and that’s accelerating rapidly,” wrote Dorsey in a letter to the company, which he shared on X. 

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“I had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. I chose the latter. Repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead,” he added.

Affected staff will still receive their salary for 20 weeks, plus one week per year of tenure, six months of health care, their corporate devices, and $5,000 to help them transition to a new role, said Dorsey.

Source: Jack Dorsey

Bloomberg reported earlier this month that 10% of Block’s workforce could be eliminated during annual performance reviews, as part of a wider restructuring effort.

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