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AI_026predictionMacro/Economydemonetization-human-capital

AI is executing a catastrophic repricing of legacy software stocks and a total 'demonetization of human capital' — the resultant deflationary shock will force global central banks into the most aggressive monetary easing and fiat currency printing in h...

Predictor: Michael Saylor

Prior probability
35.0%
Current probability
31.7%
evolves via intake + LBP
Conviction
5/5
Signal quality
B
Resolution
pending
Window
2027-01-01 – 2030-12-31
Edges in / out
2 / 0
Tickers exposed
0

Prediction text

AI is executing a catastrophic repricing of legacy software stocks and a total 'demonetization of human capital' — the resultant deflationary shock will force global central banks into the most aggressive monetary easing and fiat currency printing in history. | Fed explicit acknowledgment of AI-productivity deflation

Key catalyst: Fed explicit acknowledgment of AI-productivity deflation

Watch events: Fed SEP revisions; PCE deflator trajectory; Japan/ECB policy coordination

Resolution evidence

Status: pending

Fed SEP long-run rate unchanged; AI-productivity deflation not yet triggered major monetary-policy shift.

Predictor: Michael Saylor

κ + Brier as of 2026-05-22
κ (discount)
0.583
Brier
0.0025
excellent
Hits / Misses
0 / 0
of 1 resolved
Hit rate
0.0%
Calibration plot (stated vs observed)

Evidence about this node from Michael Saylor 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

2 prob_history rows
0%25%50%75%100%prior 35%2026-04-302026-04-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 31.7%

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. 2026-12-31pendingScenario fires: NBER recession declared 2026
  2. 2026-06-01 → 2027-12-31pendingFed FOMC minutes / Powell-successor speech explicitly cites AI-driven productivity disinflation
    How: FOMC minutes or Chair speech contains explicit language attributing measurable downward CPI/PCE pressure to AI/automation productivity gains
    Source: deep_research_enrichedconf 70%
  3. 2026-09-01 → 2028-06-30pendingBLS productivity print exceeds 3.0% annualized for two consecutive quarters
    How: Nonfarm business sector labor productivity from BLS posts >=3.0% YoY for two consecutive quarters, exceeding 1995-2005 average
    Source: deep_research_enrichedconf 55%
  4. 2027-10-13pendingQ1 window check-in (25%)
  5. 2026-12-01 → 2028-12-31pendingSoftware services PPI declines YoY for first time since 2010
    How: BLS PPI for prepackaged software / SaaS / IT services posts negative YoY change driven by AI cost-substitution
    Source: deep_research_enrichedconf 50%
  6. 2026-12-01 → 2028-12-31pendingMajor legacy SaaS incumbent revenue declines >10% YoY
    How: At least one CRM/ERP/HCM incumbent (CRM, NOW, ORCL, SAP, ADBE, INTU, WDAY) reports >=10% YoY revenue decline citing AI displacement in 10-Q
    Source: deep_research_enrichedconf 40%
  7. 2027-01-01 → 2029-12-31pendingFed funds rate cut to <2.5% citing structural disinflation
    How: FOMC sets target range with upper bound below 2.50% with statement language citing structural productivity-driven inflation undershoot
    Source: deep_research_enrichedconf 45%
  8. 2028-07-25pendingQ2 window check-in (50%)
  9. 2029-05-07pendingQ3 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: 32%)

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
LBP2026-04-30T16:39:51Z31.7%-1.1pp
Network propagation: 32.8% → 31.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z32.8%-2.2pp
Network propagation: 35.0% → 32.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

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

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.350-0.012

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_RECESSION_2026NBER recession declared 2026macro_recession
killerTK01AGI Capability Plateau (2026-27 Training Stall)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.590manifoldMana inflation protection bondsmentionspending2026-05-11

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "context": "Saylor's macro-monetary framework distinct from SEM_040 (Bitcoin treasury strategy) and INF_069 ($270T Bitcoin TAM). The 'demonetization of human capital' phrase is Saylor's 2025-2026 signature framing.",
  "to_year": 2030,
  "conv_cues": "coined phrase; monetary-policy framing",
  "direction": "HAPPEN",
  "from_year": 2027,
  "timeframe": "2027-2030",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "scenario_signal",
      "label": "Scenario fires: NBER recession declared 2026",
      "status": "pending",
      "weight": 0.7,
      "ordinal": -9,
      "source_id": "S_RECESSION_2026",
      "expected_date": "2026-12-31",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Fed FOMC minutes / Powell-successor speech explicitly cites AI-driven productivity disinflation",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.thestreet.com/fed/fed-chair-jerome-powell-credits-automation-and-ai-for-this-exciting-structural-boom-in-the-economy",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "FOMC minutes or Chair speech contains explicit language attributing measurable downward CPI/PCE pressure to AI/automation productivity gains"
    },
    {
      "kind": "llm_pre_event",
      "label": "BLS productivity print exceeds 3.0% annualized for two consecutive quarters",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-08-01",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Nonfarm business sector labor productivity from BLS posts >=3.0% YoY for two consecutive quarters, exceeding 1995-2005 average"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2027-10-13",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Software services PPI declines YoY for first time since 2010",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.5,
      "expected_date": "2027-12-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-12-01"
      },
      "measurement_criterion": "BLS PPI for prepackaged software / SaaS / IT services posts negative YoY change driven by AI cost-substitution"
    },
    {
      "kind": "llm_post_event",
      "label": "Major legacy SaaS incumbent revenue declines >10% YoY",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.4,
      "expected_date": "2027-12-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-12-01"
      },
      "measurement_criterion": "At least one CRM/ERP/HCM incumbent (CRM, NOW, ORCL, SAP, ADBE, INTU, WDAY) reports >=10% YoY revenue decline citing AI displacement in 10-Q"
    },
    {
      "kind": "llm_post_event",
      "label": "Fed funds rate cut to <2.5% citing structural disinflation",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.45,
      "expected_date": "20
... (truncated)