LiveAI in financeWestern cycleAnchors pending

By 2029, big banks will have their first major AI-driven losses — and new rules will follow?

As of 2 Oct · 12:00 UTCResolves 31 Dec 20296 movers3 pressure moments
Timeline A · Losses Trigger RulesReality
75%
Crowd 55%Gap 0

Between 2026 and 2028, a major bank suffers a significant loss — tens of millions or more — traced directly to an AI system making trades, managing risk, or detecting fraud in ways humans did not anticipate or catch in time. The loss is public, the root cause is undeniable, and regulators move quickly. By end of 2029, the Financial Stability Board, the SEC, the Fed, and the ECB have all issued binding new rules requiring banks to audit AI decisions in real time, maintain human override authority, and file quarterly AI-risk reports. These rules reshape how banks deploy machine learning in their core operations.

Timeline B · No Big LossesReality
25%
Crowd 45%Gap 0

AI losses at major banks happen, but stay small, isolated, or get absorbed quietly without triggering the regulatory response the prediction requires. Banks that do suffer losses blame external market shocks, data quality issues, or implementation errors — not the AI itself — and make internal fixes without waiting for regulators to force them. By 2029, the FSB has released guidance and best practices, but no major new binding rules have been adopted across jurisdictions. Existing regulations adapt gradually through existing supervisory channels; no sudden regulatory shock occurs.

crowd 55
The quiet paththe one nobody’s watching

Systemic AI failure or coordinated cyber attack on banking AI infrastructure makes the prediction's regulatory frame obsolete.

6%
The read
Reality still leans toward Losses Trigger Rules.

Reality leans toward Losses Trigger Rules — the forces holding it there outweigh the pull in the other direction. The main thing that could shift this is FSB framework evolution.

Where reality is heading

A, 80% bandCrowd today
Projected reality support to 31 Dec 2028A rises from 41% to about 52% with an 80% band of 33 to 71. B falls from 53% to about 44%. Quiet path near 4 to 6%. Crowd today: A 55%.100%7550250Crowd today · A 55%A ~52%B ~44%P ~4%NowJan 2027Jan 202831 Dec 2028
Reality crosses toward A in early 2028. Today’s crowd number sits at the top of A’s band, possible but optimistic. View as table

The movers, ranked by leverage

01
Rising-power eliteConsciousness-pattern template for an actor-class in a rising power whose decisions on technology, military doctrine, trade posture, and institutional strategy bend the trajectory of a rising-vs-ruling cycle. Operates in the B_leak boundary channel per AMENDMENT 47 §MCA-1 — what actors are reaching for.
leverage 78
Rising-power moves tend to accelerate rivalry trajectories.
02
Ruling-power eliteConsciousness-pattern template for an actor-class in the established hegemon whose decisions on alliance structure, deterrence posture, sanctions regime, and institutional defense bend the trajectory of a rising-vs-ruling cycle. B_leak channel.
leverage 75
Ruling-power posture tends to defend the status-quo order.
03
Crisis-triggered leaderContext-dependent actor-class whose rise is causally gated by a transition-state firing (e.g., financial cascade, communal violence τ-discharge, democratic institution crack). The actor's platform encodes the specific grievance of the triggering transition. Direction is cycle-contextual: can bend toward Timeline-A (institutional recapture) or Timeline-B (regime rotation) depending on platform.
leverage 70
Crisis-born leaders bend whichever way the crisis pressure resolves.
04
Leading economic indicatorSignal-class: measurable datum that precedes regime-level economic transitions by a known lead-time distribution. Yield-curve inversion, credit-spread blowout, HY/IG spread, trade-finance volume, LEI composite, PMI inflection, housing-starts collapse. Direction cycle-contextual depending on which transition fires.
leverage 45
Leading indicators tilt whichever way they fire first.
05
Multilateral finance institutionActor-class for international public-finance institutions that coordinate sovereign debt restructuring, monitor global financial stability, and set cross-jurisdictional supervisory recommendations. IMF, World Bank, Bank for International Settlements (BIS), Financial Stability Board (FSB), Paris Club, Common Framework coordinator operating at inter-governmental mandate. Direction typically Timeline-A on financial-system-stability cycle via codification + monitoring work; Timeline-B when institutional legitimacy decays or coordination fails.
leverage 65
IMF/BIS/World Bank keep the financial order coherent — or lose it.
06
Collective pull shiftMarket-class: discontinuous move in collective attention + capital toward an outcome, measurable in prediction markets (Polymarket / Kalshi / Manifold / Metaculus / PredictIt) and sector-rotation flows. Per AMENDMENT 47 §MCA-2, this IS the B_leak = consciousness measurement instrument where it covers an outcome. Direction contextual depending on which outcome the pull targets.
leverage 50
Prediction markets reprice when collective pull on an outcome moves.

What would change our mind

Signals toward A
  • FSB framework evolution readings confirming the Losses Trigger Rules direction
  • Visible loss events trajectory bending toward Losses Trigger Rules
  • Bank disclosure norms moving in support of Losses Trigger Rules
  • Fresh readings from FSB AI-in-finance monitoring framework (2025-10-01) — Framework published pointing toward Losses Trigger Rules
Signals toward B
  • FSB framework evolution readings confirming the No Big Losses direction
  • Visible loss events trajectory bending toward No Big Losses
  • Bank disclosure norms moving in support of No Big Losses
  • Fresh readings from FSB AI-in-finance monitoring framework (2025-10-01) — Framework published pointing toward No Big Losses

Pressure moments

A long-cycle debt resetsovereign debt-to-GDP trajectory + interest-expense share of fiscal · central-bank balance-sheet trajectory (QE scale) · major-economy debt restructuring events (sovereign + corporate + property)
5-15 years acute phase; multi-decade accumulation prior
Building
Dollar reserve-currency fragmentationdollar share of global reserves (IMF COFER) · dollar share of trade settlement (SWIFT currency breakdown) · bilateral yuan + ruble + real settlement agreements
5-15 year gradual phase
Building
AI capability discontinuityfrontier model benchmark saturation + new benchmark emergence · autonomous-agent task-completion rate on real-world browser/code benchmarks · model-collapse regression indicators
3-9 months at observable-step window; prelude years
High

Evidence