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Independent research & opinion. Gradings are automated / LLM-assisted and may contain errors or hallucinations; nothing here is a statement of fact, financial advice, or an accusation of wrongdoing by any party. Claims about identifiable people or organizations reflect public records + good-faith interpretation; intent is not inferred from association. Methodology & disclaimer.

FDIC Aggregate US Banking Industry — what the data shows

Narrative compiled 2026-06-06 from macro-fdic.json (FDIC BankFind financials API https://api.fdic.gov/banks/financials, cross-checked vs the published Quarterly Banking Profile). Validation: computed unrealized-securities figure matched FDIC's published QBP to within $0.2B (2026Q1: −$325.3B computed vs −$325.1B published).

1. The unrealized securities-loss hole (the rate-shock overhang)

The industry still carries a large negative AOCI / unrealized loss on securities (AFS+HTM) from the 2022 rate shock — it has improved but not healed:

QuarterUnrealized securities loss
2024Q1−$517B (peak of this window)
2024Q4−$481B
2025Q2−$396B
2025Q4−$306B
2026Q1−$325B (ticked back up)

Three years after the SVB failure the system still sits on ~$325B of underwater securities — a latent capital hole that re-widens whenever long rates rise. This is the channel through which macro stress (rates) → bank capital — and it interacts with everything below.

2. CRE: slow grind, not (yet) a break

3. Consolidation and failures (1999 → now)

4. Deposits and the DIF

5. Coverage gaps — what sits below reporting thresholds or outside FDIC data entirely

The FDIC aggregate is the visible layer; several pools of comparable risk are below threshold or out of scope, and are worth digging into separately:

The honest read: the FDIC number is a floor on the banking slice of a larger pool. Credit unions and NDFIs are the two biggest uncovered reservoirs of the same HTM/CRE/duration risk; the suppressed problem-bank asset total is the deliberately-hidden distribution.

Each of these pools is now mapped in its own block — see macro-uncovered-risk-pools for the full stack (~$33–37T outside this lens) and the deep digs: macro-money-market-funds, macro-treasury-basis-trade, macro-pensions-ldi, macro-gses-fhlb, macro-family-offices, macro-fintech-baas, macro-mortgage-reits, macro-consumer-abs-subprime, and macro-municipal-public-finance.

Read for the bubble thesis

The banking system is not in acute distress, but it carries two slow-burn vulnerabilities that the AI-capex story plugs into: (1) a $325B unrealized-loss sensitivity to rates — and the AI buildout is issuing a wall of new corporate/datacenter debt that pressures long rates; (2) the real CRE/credit risk has migrated off bank balance sheets into nonbanks/private credit — which is exactly where AI-datacenter financing now lives (see macro-cre-privatecredit.md: bank loans to NDFIs ~$1.97T). The banks look clean partly because the risk moved to where the AI money is.

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