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ROB_022predictionDefensephysical-AI-national-security

Maintaining technological competitiveness in Physical AI is an acute, existential matter of national security — falling behind in industrial automation translates directly to loss of geopolitical hegemony; the nation that controls the physical fabricat...

Predictor: Eric Schmidt

Prior probability
80.0%
Current probability
75.2%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
in_progress
Window
2026-01-01 – 2032-09-30
Edges in / out
2 / 0
Tickers exposed
13

Prediction text

Maintaining technological competitiveness in Physical AI is an acute, existential matter of national security — falling behind in industrial automation translates directly to loss of geopolitical hegemony; the nation that controls the physical fabrication of autonomous systems will dictate global supply chains and military readiness. | Next major DoD autonomy-program award

Key catalyst: Next major DoD autonomy-program award

Watch events: DoD autonomy contracts; DPA invocations for industrial-AI

Resolution evidence

Status: in_progress

NSCAI reports, Defense Production Act invocations, DoD autonomy initiatives validate Physical AI national-security positioning. Anduril, Shield AI, Saronic scaling rapidly.

Predictor: Eric Schmidt

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0064
excellent
Hits / Misses
3 / 0
of 3 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Eric Schmidt 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 80%2026-04-302026-04-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 75.2%

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: 8 pending
  1. 2026-09-01 → 2026-12-31pendingDAWG (Defense Autonomous Warfare Group) FY2027 budget enacted at $54.6B
    How: Congressional appropriations bill signed into law containing >=$50B for DAWG / Defense Autonomous Warfare programs in FY2027, representing >100x YoY scale increase from FY2026's $225M baseline
    Source: deep_research_enrichedconf 50%
  2. 2026-06-01 → 2027-12-31pendingAnduril $20B Army enterprise agreement and Palantir $10B agreement reach delivery milestones
    How: DoD progress reports or company earnings calls confirm hardware/software deliverables under Anduril and Palantir multi-billion enterprise agreements achieve fielded operational capability within published schedules
    Source: deep_research_enrichedconf 70%
  3. 2026-06-01 → 2027-12-31pendingPentagon agentic-AI prototype delivers first operational decision-loop in classified env
    How: DoD CDAO or component announcement confirms the $200M each xAI/OpenAI/Google/Anthropic agentic-AI awards delivered first end-to-end agent-driven mission-planning prototype, validated in classified red/blue exercise
    Source: deep_research_enrichedconf 60%
  4. 2027-03-25pendingQ1 window check-in (25%)
  5. 2026-06-01 → 2028-06-30pendingReplicator scales from 'hundreds' to >10,000 fielded autonomous attritable systems
    How: DoD Replicator program update, GAO audit, or DIU public dashboard reports cumulative deliveries exceeding 10,000 autonomous loitering munitions / drones / USV / UUV systems across selected vendors
    Source: deep_research_enrichedconf 55%
  6. 2028-06-15pendingQ2 window check-in (50%)
  7. 2027-01-01 → 2029-12-31pendingChina publishes equivalent autonomous-warfare program with comparable scale
    How: PLA white paper, CCP defense statement, or open-source intel assessment (e.g., RAND, CSIS) documents Chinese autonomous-systems modernization program at >=$30B scale within rolling 24-month window
    Source: deep_research_enrichedconf 60%
  8. 2029-09-06pendingQ3 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: 75%)

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
LBP2026-04-30T16:39:51Z75.2%-1.7pp
Network propagation: 76.9% → 75.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z76.9%-3.1pp
Network propagation: 80.0% → 76.9%
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
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.800-0.027
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.800-0.012

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

13 ticker(s) linked

Beneficiaries (9)

SKYTMRCYTSEMBAESYSTMIFNNYTDGTXNMCHP

Adverse (4)

UBERPGRTRVALL

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
killerTK11Autonomous Regulatory Block (Level 4 Halt)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importNSCAI reports, Defense Production Act invocations, DoD autonomy initiatives validate Physical AI national-security positioning. Anduril, Shield AI, Saronic scaling rapidly.

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-Other",
  "context": "Schmidt defense framing distinct from 241_xxx (92 GW energy), CYB_024 (ChatGPT moment genetics), SPC_021 (Relativity rockets). Specific Physical AI national security framing.",
  "to_year": 2032,
  "conv_cues": "existential-national-security framing",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2032",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "DAWG (Defense Autonomous Warfare Group) FY2027 budget enacted at $54.6B",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.5,
      "source_url": "https://www.spartancorp.us/signal/defense-autonomous-warfare-group-fy2027-buildout",
      "expected_date": "2026-10-31",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Congressional appropriations bill signed into law containing >=$50B for DAWG / Defense Autonomous Warfare programs in FY2027, representing >100x YoY scale increase from FY2026's $225M baseline"
    },
    {
      "kind": "llm_pre_event",
      "label": "Anduril $20B Army enterprise agreement and Palantir $10B agreement reach delivery milestones",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.jpost.com/defense-and-tech/article-889950",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "DoD progress reports or company earnings calls confirm hardware/software deliverables under Anduril and Palantir multi-billion enterprise agreements achieve fielded operational capability within published schedules"
    },
    {
      "kind": "llm_pre_event",
      "label": "Pentagon agentic-AI prototype delivers first operational decision-loop in classified env",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.6,
      "source_url": "https://tech-insider.org/openai-pentagon-military-ai-deal-2026/",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "DoD CDAO or component announcement confirms the $200M each xAI/OpenAI/Google/Anthropic agentic-AI awards delivered first end-to-end agent-driven mission-planning prototype, validated in classified red/blue exercise"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2027-03-25",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Replicator scales from 'hundreds' to >10,000 fielded autonomous attritable systems",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.govconwire.com/articles/dod-replicator-drones-program-whats-next",
      "expected_date": "2027-06-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "DoD Replicator program update, GAO audit, or DIU public dashboard reports cumulative deliveries exceeding 10,000 autonomous loitering munitions / drones / USV / UUV systems across selected vendors"
    },
    {
      "kind": "quartile_checkpoint",
 
... (truncated)