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247_052predictionMacro/EconomyAI-scaling

AI enters government in 2-4 years will allow thoughtful UBI programs later

Predictor: Dave Blundin · ep#247 "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247" · source

Prior probability
50.0%
Current probability
41.8%
evolves via intake + LBP
Conviction
2/5
Signal quality
B
Resolution
pending
Window
2028-01-01 – 2030-12-31
Edges in / out
11 / 5
Tickers exposed
37

Prediction text

AI enters government in 2-4 years will allow thoughtful UBI programs later | maybe after AI enters government in two three four years a much more thoughtful program will happen later

Verbatim quote

From episode "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247"
maybe after AI enters government in two three four years a much more thoughtful program will happen later

Resolution evidence

Status: pending

UBI via AI-in-government 2-4y (2028-2030). No US federal UBI pilot yet; state-level SNAP/EITC expansions continue.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin 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 50%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 41.8%

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: 7 fired ✓ · 4 pending
  1. 2026-03-20hitWhite House National Policy Framework for AI released — federal preemption + agency adoption
    How: White House publishes national AI policy framework with formal directives for federal agency AI adoption
    Source: deep_research_enrichedconf 92%
  2. 2026-04-01hitOMB memo M-26-05 mandates accelerated AI adoption across federal agencies
    How: OMB issues guidance requiring federal agencies to deploy AI on staffing, services, and citizen workflows
    Source: deep_research_enrichedconf 88%
  3. 2026-06-01 → 2028-06-30pendingFirst federal-agency-headcount cut publicly attributed to AI automation
    How: Any cabinet agency or independent agency formally announces FTE reduction explicitly justified by AI workflow automation
    Source: deep_research_enrichedconf 62%
  4. 2026-09-01 → 2028-06-30pendingFirst federal agency reports >= 50% of front-line case work touched by AI agents
    How: Cabinet agency annual AI use-case inventory shows >= 50% of front-line process flows include AI-agent step
    Source: deep_research_enrichedconf 55%
  5. 2028-01-01 → 2030-06-30pendingFirst state-level UBI/cash-transfer pilot funded with federal AI-productivity offsets
    How: Federal grant or matching-funds program explicitly funds state UBI pilot citing AI automation savings as funding source
    Source: deep_research_enrichedconf 30%
  6. 2029-01-01 → 2030-12-31pendingFederal cash-transfer or refundable-credit law signed (UBI-style ground floor)
    How: Federal legislation enacted establishing recurring per-adult cash payment or refundable AI-displacement credit
    Source: deep_research_enrichedconf 25%

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: 42%)

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
LBP2026-05-10T02:00:02Z41.8%-1.0pp
Network propagation: 42.8% → 41.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z42.8%-1.7pp
Network propagation: 44.5% → 42.8%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z44.5%-2.4pp
Network propagation: 46.8% → 44.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z46.8%-3.2pp
Network propagation: 50.0% → 46.8%
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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.500-0.075
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.5000.050-0.065
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.500-0.053
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.037
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.5000.050-0.034

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq231_038
TSMC fabs will come online in 5-6-7 years; Elon won't wait tDave Blundin
44.0%0.6000.050-0.164
prereq232_057
First person to arrive on moon/Mars will find bed made by OpDave Blundin
34.8%0.6000.050-0.072
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.060
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.050
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.046

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (11)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.Capital Markets
prereqSEM_027Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.Capital Markets
prereqSEM_014Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).Manufacturing
prereqSEM_029Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training.Semis/Products
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
correlateS_AI_PAUSE_2026Major-country AI pause beginning 2026ai_regulatory_pause
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
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
prereq232_057First person to arrive on moon/Mars will find bed made by Optimus robots; robots not astronauts lead exploration.Robotics
prereq231_038TSMC fabs will come online in 5-6-7 years; Elon won't wait that long.AI

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2030-12-31[Capital Markets 2030-12] erly DC revenue; global DC power growth [247_052] AI enters government in 2-4 years will allow thoughtful UBI programs laterpending

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "2-4 years",
  "url": "https://www.youtube.com/watch?v=5ak26W2YNRY",
  "mode": "SPECULATION",
  "role": "Host",
  "context": "maybe after AI enters government in two three four years a much more thoughtful program will happen later",
  "to_year": 2030,
  "verbatim": "maybe after AI enters government in two three four years a much more thoughtful program will happen later",
  "conv_cues": "maybe",
  "direction": "HAPPEN",
  "from_year": 2028,
  "timeframe": "2028-2030",
  "conv_level": "LOW",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "White House National Policy Framework for AI released — federal preemption + agency adoption",
      "source": "deep_research_enriched",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -11,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://www.sullcrom.com/insights/memo/2026/March/White-House-Releases-National-Policy-Framework-AI",
      "expected_date": "2026-03-20",
      "observed_date": "2026-03-20",
      "research_origin": "deep_research",
      "measurement_criterion": "White House publishes national AI policy framework with formal directives for federal agency AI adoption"
    },
    {
      "kind": "llm_pre_event",
      "label": "OMB memo M-26-05 mandates accelerated AI adoption across federal agencies",
      "source": "deep_research_enriched",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.88,
      "source_url": "https://fedscoop.com/omb-memo-m-26-05-agencies-ai-adoption/",
      "expected_date": "2026-04-01",
      "observed_date": "2026-04-01",
      "research_origin": "deep_research",
      "measurement_criterion": "OMB issues guidance requiring federal agencies to deploy AI on staffing, services, and citizen workflows"
    },
    {
      "kind": "prereq",
      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_011",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_027",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI ",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_029",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "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": -5,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "scenario_signal",
      "label": "Scenario fires: Major-country AI pause beginning 2026",
      "status": "pending",
      "weight": 0.3,
      "ordinal": -4,
      "source_id": "S_AI_PAUSE_2026",
      "expected_date": "2026-12-31",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "First
... (truncated)