← Cockpit
236_032predictionMacro/EconomyAI-timing

AI has chance of fixing poverty globally

Predictor: Andrew Yang · ep#236 "Andrew Yang: UBI Before UHI, Solving Job Loss, and the Future of Work | #236" · source

Prior probability
50.0%
Current probability
38.7%
evolves via intake + LBP
Conviction
2/5
Signal quality
D
Resolution
pending
Window
2026-04-30 – 2029-03-31
Edges in / out
9 / 5
Tickers exposed
33

Prediction text

AI has chance of fixing poverty globally | I I think there's a chance that AI does um fix poverty globally.

Verbatim quote

From episode "Andrew Yang: UBI Before UHI, Solving Job Loss, and the Future of Work | #236"
I I think there's a chance that AI does um fix poverty globally.

Predictor: Andrew Yang

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0178
excellent
Hits / Misses
0 / 0
of 3 resolved
Hit rate
0.0%
Calibration plot (stated vs observed)

Evidence about this node from Andrew Yang 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

5 prob_history rows
0%25%50%75%100%prior 50%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 38.7%

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: 5 fired ✓ · 6 pending
  1. 2026-06-01 → 2026-12-31pendingWorld Bank WDR 2026 'AI for Development' published with poverty-impact framework
    How: Final WDR2026 report released with quantified projection for AI-driven extreme-poverty reduction by 2030
    Source: World Bank WDR 2026 Concept Noteconf 85%
  2. 2026-09-01 → 2028-06-30pendingFirst country deploys AI-driven cash-transfer or geospatial-targeting program at scale (>5M beneficiaries)
    How: National program using AI for poverty-targeting or cash-transfer reaches >=5M beneficiaries; tracked via CGD, GiveDirectly, World Bank announcements
    Source: Frontiers in Sustainability 'Reconceptualizing poverty in digital era'conf 60%
  3. 2027-03-01 → 2028-03-31pendingGlobal extreme poverty rate drops below 9.5% per World Bank PovcalNet update
    How: World Bank semi-annual poverty update reports global extreme-poverty rate <9.5% (vs 10.0% nowcasted 2026)
    Source: March 2026 WB poverty update: 10.4% 2024 → 10.0% 2026 nowcastconf 55%
  4. 2027-01-01 → 2028-09-30pendingAI-tool penetration in low-income agricultural extension services exceeds 25%
    How: FAO/IFAD report shows >=25% of low-income-country farmers accessing AI-driven extension/advisory services
    Source: Borgen Project: AI in Developing Nations reviewconf 45%
  5. 2027-03-01 → 2028-09-30pendingSub-Saharan Africa poverty rate stagnant or rising despite AI rollout
    How: World Bank semi-annual update shows SSA extreme-poverty rate flat or higher relative to 2025-2026 baseline
    Source: World Bank: 'poverty rates remain stubbornly high in Sub-Saharan Africa'conf 65%
  6. 2027-12-31pendingIf no >5M-beneficiary AI poverty program launches by end-2027, 'chance of fixing' becomes generous
    How: Zero scaled (>5M beneficiary) AI poverty programs by end-2027 means the claim's actionable mechanism is missing as window closes
    Source: World Bank 2026-2030 phased implementation timelineconf 50%
  7. 2036-09-06pendingMoon base will exist in 10 years

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: 39%)

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
LBP2026-05-17T02:00:01Z38.7%-1.0pp
Network propagation: 39.7% → 38.7%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z39.7%-1.8pp
Network propagation: 41.5% → 39.7%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z41.5%-3.3pp
Network propagation: 44.8% → 41.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z44.8%-2.1pp
Network propagation: 46.9% → 44.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z46.9%-3.1pp
Network propagation: 50.0% → 46.9%
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
prereqS_AGI_MID_2029
AGI mid: Kurzweil 2029 path
35.0%0.5000.050-0.179
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.068
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.500+0.046
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.500+0.023
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.5000.050+0.011

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.077
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050-0.076
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.064
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050-0.047
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050-0.046

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (9)

Predictions that must hit first
TypePredTitleDomainLag
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
prereqS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI
prereq239_008Moon base will exist in 10 yearsSpace

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.578manifoldAm I worthy of moral consideration [Convince the Machine #5]44%mentionspending2026-05-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=toE56X2h0wk",
  "mode": "SPECULATION",
  "role": "Guest-Politician",
  "context": "the so for for me um you know like I take shots at uh what's happening in America but I I think there's a chance that AI does um fix poverty globally.",
  "verbatim": "I I think there's a chance that AI does um fix poverty globally.",
  "conv_cues": "there's a chance",
  "direction": "HAPPEN",
  "timeframe": "Unspecified future",
  "conv_level": "LOW",
  "milestones": [
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -11,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -10,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Recursive self-improvement is already happening now (no longer three years out)",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "235_038",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "World Bank WDR 2026 'AI for Development' published with poverty-impact framework",
      "source": "World Bank WDR 2026 Concept Note",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.worldbank.org/en/publication/wdr2026",
      "expected_date": "2026-09-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Final WDR2026 report released with quantified projection for AI-driven extreme-poverty reduction by 2030"
    },
    {
      "kind": "llm_pre_event",
      "label": "First country deploys AI-driven cash-transfer or geospatial-targeting program at scale (>5M beneficiaries)",
      "source": "Frontiers in Sustainability 'Reconceptualizing poverty in digital era'",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.6,
      "source_url": "https://www.frontiersin.org/journals/sustainability/articles/10.3389/frsus.2026.1728240/full",
      "expected_date": "2027-08-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "National program using AI for poverty-targeting or cash-transfer reaches >=5M beneficiaries; tracked via CGD, GiveDirectly, World Bank announcements"
    },
    {
      "kind": "llm_pre_event",
      "label": "Global extreme poverty rate drops below 9.5% per World Bank PovcalNet update",
      "source": "March 2026 WB poverty update: 10.4% 2024 → 10.0% 2026 nowcast",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
    
... (truncated)