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Private credit under zero-trust — "mark-to-myth," and who holds the bag

Web-verified 2026-06-09. Structured + edges + sources: macro-private-credit-marks.json. The third self-marked asset class, completing the pattern with bank HTM (cost) and AI stakes (fair-value). Overlay; not used in the proofs.

The self-marked NAV — the BDC price-NAV gap is fact; "inflated" is the strong reading

The marks got tested in 2025 — and failed instantly

The quality is deteriorating — STRONG

Who holds the bag (the decisive part)

The risk is migrating off banks and sophisticated funds and into the least-able-to-bear holders:

Takeaway

The same private credit that is the marginal lender to the AI buildout (PIMCO/Apollo/Blue Owl — Oracle's $72B, CoreWeave, Meta's $27B Hyperion) is self-marked, deteriorating, and migrating into annuities and retirement accounts valued at marks the holders can't independently check. This is the corpus's answer to who ultimately holds the bag.

Where this sits in the larger pattern (updated 2026-06-11)

Manager-set private-credit NAVs are the third of five self-marked numbers the project now formalizes: bank securities at HTM cost (macro-bank-htm-marks), AI stakes at fair-value / equity marks (fin-google-amazon-anthropic-meta), private-credit NAVs (here), insurance liabilities at offshore-captive marks (spec-insurance-bermuda), and — newest — AI-compute depreciation carried on a chosen useful life (fin-ai-depreciation-debttrap). The Z3 self-marked-value theorem proves they are one defect whose gaps correlate under a common factor (no diversification); the cross-sectional analysis (macro-cross-sectional-analysis) then measures that factor — ~91% of US credit-spread variance is a single principal component, exactly the "no netting across the marked classes" the theorem predicts. Private credit is not a diversifier of the AI / bank / insurance risk; it is the same trade wearing a different label.

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