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FUT_020predictionLabor/JobsLAM-deployment-forced-by-demographic-atrophy

Profound structural collision: exponential AI cognitive bandwidth (Webb LAMs FUT_004) colliding with Zeihan demographic atrophy (FUT_007) forces corporations + sovereign states to delegate supply chain logistics, financial forecasting, infrastructure m...

Predictor: Multi-Forecaster Synthesis

Prior probability
65.0%
Current probability
45.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
in_progress
Window
2026-01-01 – 2031-12-31
Edges in / out
1 / 0
Tickers exposed
0

Prediction text

Profound structural collision: exponential AI cognitive bandwidth (Webb LAMs FUT_004) colliding with Zeihan demographic atrophy (FUT_007) forces corporations + sovereign states to delegate supply chain logistics, financial forecasting, infrastructure maintenance, industrial management entirely to agentic AI. LAMs possessing superforecaster-grade accuracy (FUT_001) begin making mathematically-aggressive bets on physical supply chain bottlenecks, rerouting capital at machine speed to front-run physical shortages. | First major hedge-fund LAM-driven alpha disclosure

Key catalyst: First major hedge-fund LAM-driven alpha disclosure

Watch events: Japan/Korea labor-AI-substitution metrics; LAM-driven capital allocation disclosures

Resolution evidence

Status: in_progress

Japan + Korea + aging EU already empirically deploying AI/robots into demographic gaps; US labor-participation-rate AI-augmentation underway. Capital markets increasingly AI-orchestrated.

Predictor: Multi-Forecaster Synthesis

κ + Brier as of 2026-05-22
κ (discount)
0.500
Brier
Hits / Misses
0 / 0
Hit rate

Evidence about this node from Multi-Forecaster Synthesis is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

4 prob_history rows
0%25%50%75%100%prior 65%2026-05-032026-05-172026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 45.0%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 9 pending
  1. 2026-12-31pendingSEC guidance / OCC bulletin on agentic AI trading systems finalized
    How: SEC, CFTC, or OCC issues final rule/bulletin requiring disclosure or human-accountability for autonomous-agent trading systems above a size threshold
    Source: deep_research_enrichedconf 60%
  2. 2027-01-15pendingQ1 window check-in (25%)
  3. 2026-06-01 → 2027-12-31pendingFirst top-tier hedge fund discloses agentic-AI-driven strategy in marketing materials
    How: Top-25 hedge fund (by AUM) or major LP (CalPERS, GIC) publicly attributes >=20% of a strategy's alpha to autonomous AI agents in offering memo, ADV, or earnings call
    Source: deep_research_enrichedconf 70%
  4. 2026-09-01 → 2028-12-31pendingFortune 500 firm announces AI-driven supply-chain rerouting saved >$500M annualized
    How: Public 10-K or earnings call disclosure quantifies >=$500M run-rate savings from agentic-AI logistics/supply-chain optimization
    Source: deep_research_enrichedconf 55%
  5. 2026-12-01 → 2028-12-31pendingWorking-age population in OECD declines YoY for fifth consecutive year
    How: OECD employment outlook confirms total working-age (15-64) population fell YoY in five consecutive prints, validating Zeihan demographic-atrophy premise
    Source: deep_research_enrichedconf 70%
  6. 2028-01-30pendingQ2 window check-in (50%)
  7. 2027-01-01 → 2029-12-31pendingSovereign wealth fund formally adopts agentic-AI mandate
    How: Norway GPFG, ADIA, GIC, Temasek, CIC, or PIF discloses >=$10B notional managed by autonomous-agent strategies in annual report
    Source: deep_research_enrichedconf 40%
  8. 2029-02-12pendingQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 45%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-24T02:00:02Z45.0%-1.4pp
Network propagation: 46.4% → 45.0%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z46.4%-2.7pp
Network propagation: 49.1% → 46.4%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z49.1%-5.5pp
Network propagation: 54.6% → 49.1%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z54.6%-10.4pp
Network propagation: 65.0% → 54.6%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

No propagation data yet. Run inference/.venv/bin/python scripts/ops/run_loopy_belief_propagation.py on the droplet, or wait for the Sunday 02:00 UTC weekly cron.

Prerequisites (1)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importJapan + Korea + aging EU already empirically deploying AI/robots into demographic gaps; US labor-participation-rate AI-augmentation underway. Capital markets increasingly AI-orchestrated.

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-Synthesis",
  "context": "Third Multi-Forecaster-Synthesis entry. Specific demographic-atrophy-mitigated-by-LAMs framing. Couples with AUT_009 Amodei nation of geniuses, ROB_018 Calacanis Enterprise Singularity.",
  "to_year": 2031,
  "conv_cues": "three-forecaster synthesis; demographic-AI-substitution framing",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2031",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "SEC guidance / OCC bulletin on agentic AI trading systems finalized",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.6,
      "source_url": "https://digiqt.com/blog/ai-agents-in-hedge-funds/",
      "expected_date": "2026-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "SEC, CFTC, or OCC issues final rule/bulletin requiring disclosure or human-accountability for autonomous-agent trading systems above a size threshold"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -8,
      "source_id": null,
      "expected_date": "2027-01-15",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "First top-tier hedge fund discloses agentic-AI-driven strategy in marketing materials",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.twosigma.com/articles/ai-in-investment-management-2026-outlook-part-i/",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Top-25 hedge fund (by AUM) or major LP (CalPERS, GIC) publicly attributes >=20% of a strategy's alpha to autonomous AI agents in offering memo, ADV, or earnings call"
    },
    {
      "kind": "scenario_signal",
      "label": "Scenario fires: AGI fast: drop-in remote worker by 2027-09",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "S_AGI_FAST_2027",
      "expected_date": "2027-09-30",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Fortune 500 firm announces AI-driven supply-chain rerouting saved >$500M annualized",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-11-01",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Public 10-K or earnings call disclosure quantifies >=$500M run-rate savings from agentic-AI logistics/supply-chain optimization"
    },
    {
      "kind": "llm_pre_event",
      "label": "Working-age population in OECD declines YoY for fifth consecutive year",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2027-12-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-12-01"
      },
      "measurement_criterion": "OECD employment outlook confirms total working-age (15-64) population fell YoY in five consecutive prints, validating Zeihan demographic-atrophy premise"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2028-01-30",
      "observed_date": null
 
... (truncated)