Dollar-backed stablecoins have become a dual-use instrument of U.S. economic power, extending the dollar's reach into markets where correspondent banking is weak or blocked while giving Washington new control points over issuers, reserves, and token freezes. Key data shows 90-98% of the stablecoin market is dollar-denominated, with Tether holding ~$141 billion in U.S. Treasury exposure,…
The market has exited the capitulation phase of June 2026, where BTC fell below $60k, driven by ETF creations and short squeezes pushing prices to ~$81.3k, though this does not confirm a sustained bullish cycle. Three simultaneous frictions are identified: a BTC supply wall between $81k-$86k, a potential 25bp hike at the September FOMC meeting…
1.1 Bitcoin. Core Collateral, Not an Alt
Price sits below the self-custody cost basis shelf (~$80.8k) and under the Glassnode band ($81–86k), where negative gamma dealers appear around $82.3k, short squeezes cluster up to $86k, and LTH supply converges at $83–86k.
CryptoQuant’s Bull Score hits 80, a high since Oct. 2025, indicating spot and futures…
Bitcoin rallied 6% in the week of August 19, triggered by a yields at their highest since 2007, seen as a fiscal easing signal. CoinShares' James Butterfill noted the rally was driven by macroeconomic factors, not crypto-specific dynamics. T. Rowe Price identified the "debasement trade" as the key driver, where investors shift from cash and…
Contagion in AI financing cannot be understood through valuation levels or even growth rates. It must be understood through the dependency structure of counterparties and the second derivative of infrastructure spending.
Our cross-analysis shows:
¤ The central risk is not the disappearance of AI demand, but the existence of a correlation of one…
Private credit funds face significant 2026 risks from two AI-related channels: disruption to software borrowers and demand shortfalls in AI infrastructure. These are compounded by liquidity mismatches, sector concentration, and ties to insurers and pensions. Non-bank direct lending, via vehicles like BDCs, has heavily expanded into both areas, heightening vulnerability.
Two Primary AI-Related Risk…
They allow hyperscalers to expand capacity rapidly while keeping the bulk of associated debt off their consolidated balance sheets, converting what would be large capital expenditures into multi-year operating leases or offtake commitments. This creates meaningful “shadow” leverage and interconnected risks.
How the Structures Typically Work
A dedicated vehicle (SPV, joint venture, or variable…
EXECUTIVE SUMMARY. QUANTITATIVE FINANCE
Contagion in AI financing cannot be understood through valuation levels or even growth rates. It is grasped through the counterparty dependency structure and the second derivative of infrastructure spending.
Our cross-analysis shows:
¤ The central risk is not the disappearance of AI demand, but the existence of a…
Executive Summary
With over $315 billion in daily trading volume, stablecoins have become the systemic plumbing of programmable finance. Yet, the Basel Committee (BIS) and the World Economic Forum (WEF) highlight a critical flaw: the lack of quantitative tools capable of measuring counterparty risk in real time. Traditional approaches rely on static snapshots (monthly attestations)…
Circular financing in the AI sector refers to a tightly interlinked system of equity investments, compute commitments, guarantees, and off-balance-sheet structures among chipmakers, hyperscalers, AI labs, and data-center operators. Money and obligations circulate among a small group of counterparties, accelerating infrastructure buildout while amplifying downside risks if end-user monetization falls short.
How It Works.…