← Cockpit
INF_037predictionGeopoliticsUS-China-AI-arms-race

An all-out AI arms race between the US and China is inevitable — reaching superintelligence first provides a decisive unassailable economic and military advantage, analogous to early nuclear primacy.

Predictor: Leopold Aschenbrenner

Prior probability
85.0%
Current probability
58.4%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
in_progress
Window
2026-01-01 – 2030-11-30
Edges in / out
3 / 0
Tickers exposed
32

Prediction text

An all-out AI arms race between the US and China is inevitable — reaching superintelligence first provides a decisive unassailable economic and military advantage, analogous to early nuclear primacy. | Next major export-control action

Key catalyst: Next major export-control action

Watch events: Export control expansions; sovereign AI fund announcements; military AI deployments

Resolution evidence

Status: in_progress

US export controls 2022-2026 escalation; BIS advanced-compute restrictions; Chinese domestic chip / AI sovereign initiatives (DeepSeek, Kimi, Qwen, Huawei Ascend).

Predictor: Leopold Aschenbrenner

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0417
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Leopold Aschenbrenner 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: agi_breakthrough_5y

Linked via embedding similarity 0.569

Major capability discontinuity (e.g. AGI by named target year, 5-year horizon)

Base rate
20.0%
1/5 historical
Inside weight
Outside weight
no pull
inside 58.4% → blend 58.4% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

10 prob_history rows
0%25%50%75%100%prior 85%2026-04-302026-05-032026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 58.4%

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 pending
  1. 2026-04-30 → 2027-04-30pendingUS Commerce Department issues new chip-export rule targeting China within 12 months
    How: Federal Register publishes new BIS rule explicitly tightening or restructuring AI-chip export controls to China — H20, H200, B200, or successor — covered in WSJ/FT/Reuters
    Source: Trump-era policy oscillation (April halt, July reverse, Dec H200 approval with 25% tax)conf 85%
  2. 2026-11-30pendingQ1 window check-in (25%)
  3. 2026-04-30 → 2027-12-31pendingDoD or Pentagon publishes binding AI-procurement framework for frontier models
    How: DoD CDAO or DARPA publishes binding procurement framework for frontier AI models — covered by Defense News, Breaking Defense; analogous to nuclear-era doctrine codification
    Source: Aschenbrenner military advantage thesisconf 65%
  4. 2026-06-01 → 2028-06-30pendingChina announces dedicated >5 GW state-backed AI compute campus
    How: Chinese state media (Xinhua, People's Daily) or NDRC press release announces dedicated AI compute campus exceeding 5 GW; specific to AI training, not general data centers
    Source: Aschenbrenner Situational Awareness compute-race thesisconf 55%
  5. 2026-04-30 → 2028-12-31pendingChina demonstrates frontier-class model trained predominantly on domestic chips
    How: Chinese lab (DeepSeek, Baichuan, Moonshot, Zhipu, Alibaba) releases model achieving GPT-4-class benchmark scores with public technical report disclosing >=80% Chinese-domestic chip training compute
    Source: CFR China AI chip deficit analysis + DeepSeek precedentconf 55%
  6. 2027-10-30pendingQ2 window check-in (50%)
  7. 2028-09-27pendingQ3 window check-in (75%)
  8. 2029-08-27pendingAI arms race becomes mainstream foreign-policy framing by 2029
    How: By Aug 2029, US National Security Strategy or DoD posture review explicitly frames AI superiority as core deterrence pillar; analogous to nuclear primacy doctrine; CFR/Brookings/RAND publications adopt framing
    Source: Aschenbrenner Situational Awareness 2024 thesisconf 65%

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: 58%)

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
LBP2026-05-24T02:00:02Z58.4%+15.3pp
Network propagation: 43.2% → 58.4%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
intake_event_update2026-05-21T23:15:16Z43.2%-22.2pp
intake:7afeeb9a-f217-4dd2-b910-24ff14bdfc39 bayesian_v2 inside=0.851 blend=0.432 LLR=1.106 κ=0.69 w_in=0.36 agi_breakthrough_5y
Raw metadata
{
  "trf": 0.9214219981277613,
  "kappa": 0.6875,
  "base_rate": 0.2,
  "predictor": "Leopold Aschenbrenner",
  "total_llr": 1.6094379124341,
  "bayesian_v2": true,
  "prior_logit": 0.6373095161286387,
  "bayes_factor": "3.0:1 favoring",
  "blend_reason": "blend 36% inside / 64% outside (TRF=0.921, base_rate=0.200 from agi_breakthrough_5y)",
  "inside_prior": 0.6541450200865428,
  "kappa_source": "predictor_table",
  "blend_applied": true,
  "contributions": [
    {
      "llr": 1.6094379124341,
      "kappa": 0.6875,
      "label": "White House explicitly framing as adversarial AI competition; Trump-Xi summit ended without rapprochement on chips.",
      "adjusted_llr": 1.106488564798444
    }
  ],
  "evidence_kind": "intake_event_update",
  "inside_source": "history_v2",
  "inside_weight": 0.3550046013105671,
  "outside_weight": 0.6449953986894329,
  "posterior_prob": 0.4316561846838853,
  "evidence_origin": "daily_intake",
  "llm_suggestions": [
    {
      "polarity": "corroborates",
      "status_change": "unchanged",
      "evidence_strength": "strong",
      "delta_prob_suggestion": 0.05
    }
  ],
  "posterior_logit": 1.743798080927083,
  "predictor_brier": 0.04167,
  "evidence_doc_ids": [],
  "inside_posterior": 0.8511688500369977,
  "blended_posterior": 0.4316561846838853,
  "reference_class_id": "agi_breakthrough_5y",
  "total_adjusted_llr": 1.106488564798444,
  "predictor_n_resolved": 3
}
LBP2026-05-17T02:00:01Z65.4%+8.9pp
Network propagation: 56.5% → 65.4%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z56.5%+18.5pp
Network propagation: 38.0% → 56.5%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
intake_event_update2026-05-03T02:40:54Z38.0%-29.1pp
intake:515b84c4-6b29-4d57-8dd6-d41dac0675ec bayesian_v2 inside=0.767 blend=0.380 LLR=0.477 κ=0.69 w_in=0.35 agi_breakthrough_5y
Raw metadata
{
  "trf": 0.9319332562889674,
  "kappa": 0.6875,
  "base_rate": 0.2,
  "predictor": "Leopold Aschenbrenner",
  "total_llr": 0.6931471805599453,
  "bayesian_v2": true,
  "prior_logit": 0.7126414383352123,
  "bayes_factor": "1.6:1 favoring",
  "blend_reason": "blend 35% inside / 65% outside (TRF=0.932, base_rate=0.200 from agi_breakthrough_5y)",
  "inside_prior": 0.6709845581932299,
  "kappa_source": "predictor_table",
  "blend_applied": true,
  "contributions": [
    {
      "llr": 0.6931471805599453,
      "kappa": 0.6875,
      "label": "Both sides are escalating simultaneously: Washington is tightening equipment controls while Chinese firms are shifting m",
      "adjusted_llr": 0.4765386866349624
    }
  ],
  "evidence_kind": "intake_event_update",
  "inside_source": "history_v2",
  "inside_weight": 0.3476467205977228,
  "outside_weight": 0.6523532794022772,
  "posterior_prob": 0.3796723641796219,
  "evidence_origin": "daily_intake",
  "llm_suggestions": [
    {
      "polarity": "corroborates",
      "status_change": "accelerated",
      "evidence_strength": "moderate",
      "delta_prob_suggestion": 0.06
    }
  ],
  "posterior_logit": 1.189180124970175,
  "predictor_brier": 0.04167,
  "evidence_doc_ids": [],
  "inside_posterior": 0.7665943981647206,
  "blended_posterior": 0.3796723641796219,
  "reference_class_id": "agi_breakthrough_5y",
  "total_adjusted_llr": 0.4765386866349624,
  "predictor_n_resolved": 3
}
LBP2026-05-03T02:00:01Z67.1%+7.3pp
Network propagation: 59.8% → 67.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z59.8%+17.4pp
Network propagation: 42.4% → 59.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
legacy v12026-04-30T16:13:50Z42.4%-17.4pp
reference_class_assigned bayesian_v2 inside=0.850 blend=0.424 w_in=0.35 agi_breakthrough_5y
LBP2026-04-30T02:18:57Z59.8%+17.4pp
Network propagation: 42.4% → 59.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef
legacy v12026-04-30T01:56:50Z42.4%-42.6pp
reference_class_assigned bayesian_v2 inside=0.850 blend=0.424 w_in=0.35 agi_breakthrough_5y

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
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.850+0.202
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.850+0.146

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

32 ticker(s) linked

Beneficiaries (22)

BLDPEQIXFCELNNESMRXELEUCRWVLTBRWULFOKLOMSFTAMZNBECEGDVSTGEVGOOGLAEPMETARYCEY

Adverse (4)

AAPLAMATLRCXTSLA

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_NO_AI_PAUSE_5YNo major AI pause through 2031ai_regulatory_pause
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2030-12-31[Geopolitics 2030-12] [INF_037] Export control expansions; sovereign AI fund announcements; military AI deployments [CYB_026] Open-source capability-closing metrics; BIS export-control actions [246_020] Starcloud Blackwell satellitpending

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importUS export controls 2022-2026 escalation; BIS advanced-compute restrictions; Chinese domestic chip / AI sovereign initiatives (DeepSeek, Kimi, Qwen, Huawei Ascend).

Linked documents (3)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.637manifoldChina vs Japan Conflict before 2027?mentionspending2026-04-29
0.583manifoldWill North Korea conduct a major military provocation24%mentionspending2026-05-09
0.579manifoldWill Trump's Anti-Weaponization Fund survive its initial challenges25%mentionspending2026-06-01

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-VC/Researcher",
  "context": "Frames infrastructure competition as existential national-security, not commercial. Couples with INF_002 'The Project' thesis.",
  "to_year": 2030,
  "conv_cues": "inevitable framing; arms-race analogy",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2030",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "US Commerce Department issues new chip-export rule targeting China within 12 months",
      "source": "Trump-era policy oscillation (April halt, July reverse, Dec H200 approval with 25% tax)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://builtin.com/articles/trump-lifts-ai-chip-ban-china-nvidia",
      "expected_date": "2026-10-29",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-04-30",
        "from": "2026-04-30"
      },
      "measurement_criterion": "Federal Register publishes new BIS rule explicitly tightening or restructuring AI-chip export controls to China — H20, H200, B200, or successor — covered in WSJ/FT/Reuters"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-11-30",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "DoD or Pentagon publishes binding AI-procurement framework for frontier models",
      "source": "Aschenbrenner military advantage thesis",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.65,
      "source_url": "https://ai-frontiers.org/articles/exporting-h20s-to-china-undermines-americas-ai-edge",
      "expected_date": "2027-03-01",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-04-30"
      },
      "measurement_criterion": "DoD CDAO or DARPA publishes binding procurement framework for frontier AI models — covered by Defense News, Breaking Defense; analogous to nuclear-era doctrine codification"
    },
    {
      "kind": "llm_pre_event",
      "label": "China announces dedicated >5 GW state-backed AI compute campus",
      "source": "Aschenbrenner Situational Awareness compute-race thesis",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://pro.stockalarm.io/blog/situational-awareness-two-years-later",
      "expected_date": "2027-06-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Chinese state media (Xinhua, People's Daily) or NDRC press release announces dedicated AI compute campus exceeding 5 GW; specific to AI training, not general data centers"
    },
    {
      "kind": "llm_pre_event",
      "label": "China demonstrates frontier-class model trained predominantly on domestic chips",
      "source": "CFR China AI chip deficit analysis + DeepSeek precedent",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.cfr.org/articles/chinas-ai-chip-deficit-why-huawei-cant-catch-nvidia-and-u-s-export-controls-should-remain",
      "expected_date": "2027-08-31",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-04-30"
      },
      "measurement_criterion": "Chinese lab (DeepSeek, Baichuan, Moonshot, Zhipu, Alibaba) releases model achieving GPT-4-class benchmark scores with public technical report disclosing >=80% Chinese-domestic chip training compute"
    },
    {
  
... (truncated)