← Cockpit
AUT_024predictionAImassive-AI-breakthrough-H1-2026

H1 2026 will deliver a 'massive AI breakthrough' driven by unprecedented concentration of computational power at leading American laboratories — AI has been elevated from mere thematic investment to structural 'macro variable' akin to oil prices or int...

Predictor: Morgan Stanley

Prior probability
50.0%
Current probability
48.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-01-01 – 2026-09-30
Edges in / out
2 / 0
Tickers exposed
3

Prediction text

H1 2026 will deliver a 'massive AI breakthrough' driven by unprecedented concentration of computational power at leading American laboratories — AI has been elevated from mere thematic investment to structural 'macro variable' akin to oil prices or interest rates. | Next GPT-5 / Claude 5 / Gemini 3 capability announcement

Key catalyst: Next GPT-5 / Claude 5 / Gemini 3 capability announcement

Watch events: Frontier-model capability releases; MS AI outlook updates

Resolution evidence

Status: pending

MS 2026 AI outlook publication; GPT-5, Claude 5, Gemini 3 release cycles in H1 2026 align.

Predictor: Morgan Stanley

κ + Brier as of 2026-05-22
κ (discount)
0.633
Brier
0.0442
excellent
Hits / Misses
1 / 0
of 2 resolved
Hit rate
50.0%
Calibration plot (stated vs observed)

Evidence about this node from Morgan Stanley 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%2026-05-022026-05-102026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 48.5%

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: 4 overdue ⏱ · 2 pending
  1. 2026-02-22overdueQ1 window check-in (25%)
  2. 2026-02-28overdueStargate exceeds 10GW milestone with 3GW added in 90 days
    How: OpenAI publicly confirms Stargate datacenter capacity exceeds 10GW with >=3GW added in trailing 90 days
    Source: https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age/ — Stargate capacity updateconf 92%
  3. 2026-03-31overdueGPT-5.5 trained at flagship Abilene Stargate site
    How: OpenAI confirms GPT-5.5 trained on NVIDIA GB200 cluster at Stargate Abilene with measurable capability gains over GPT-5.4
    Source: https://intuitionlabs.ai/articles/openai-stargate-datacenter-details — Stargate Abilene flagshipconf 85%
  4. 2026-04-16overdueQ2 window check-in (50%)
  5. 2026-06-08pendingQ3 window check-in (75%)
  6. 2026-06-30pendingHyperscaler 2026 AI capex hits $700B run-rate
    How: Combined Microsoft + Meta + Google + Amazon + Oracle 2026 capex guidance reaches >=$700B annualized rate (vs ~$365B in 2025)
    Source: https://aijourn.com/700-billion-ai-capex-in-2026-following-the-capital-flows-from-hyperscalers-to-chipmakers/ — $700B capexconf 85%
  7. 2026-06-01 → 2026-12-31pendingCascade: AI compute treated as macro variable in Fed/Treasury commentary
    How: FOMC minutes, Treasury Quarterly Refunding Statement, or Fed Beige Book reference AI compute concentration as a structural macro driver akin to oil/rates
    Source: Pattern extrapolation from St. Louis Fed AI-GDP tracking commentaryconf 55%
  8. 2026-09-30pendingAI capex contributes 40% of US 2026 GDP growth
    How: BEA Q2 2026 advance/second estimate confirms AI-related investment contributed >=40% of US real GDP growth in 1H 2026
    Source: https://markets.financialcontent.com/stocks/article/marketminute-2026-3-9-ai-supercycle-massive-tech-investments-projected-to-fuel-40-of-us-gdp-growth-in-2026 — AI Supercycle 40%conf 70%
  9. 2026-07-01 → 2026-12-31pendingOpenAI custom Titan chip mass production at TSMC 3nm
    How: OpenAI/Broadcom-designed Titan AI chip enters mass production at TSMC 3nm with first datacenter deployment in H2 2026
    Source: https://www.datacenterfrontier.com/machine-learning/article/55319132/scaling-stargate-openais-five-new-u-s-data-centers-push-toward-10-gw-ai-infrastructure — Titan chip H2 2026conf 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: 49%)

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
LBP2026-05-24T02:00:02Z48.5%+1.4pp
Network propagation: 47.2% → 48.5%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z47.2%+2.8pp
Network propagation: 44.4% → 47.2%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z44.4%+5.4pp
Network propagation: 38.9% → 44.4%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z38.9%+9.9pp
Network propagation: 29.1% → 38.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z29.1%-20.9pp
metadata_milestone_miss_sweep bayesian_v2 n=4 inside=0.291 blend=0.291 LLR=-0.892 κ=0.58 no_blend
Raw metadata
{
  "trf": 0.5517581791161151,
  "kappa": 0.5833,
  "base_rate": null,
  "predictor": "Morgan Stanley",
  "total_llr": -1.6218604324326575,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0,
  "bayes_factor": "2.4:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5,
  "kappa_source": "predictor_table",
  "n_milestones": 4,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5833,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2365077975594923,
      "expected_date": "2026-02-22",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.5366360000000001,
      "label": "Stargate exceeds 10GW milestone with 3GW added in 90 days",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.92,
      "source_url": "https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age/",
      "adjusted_llr": -0.21758717375473294,
      "expected_date": "2026-02-28",
      "measurement_criterion": "OpenAI publicly confirms Stargate datacenter capacity exceeds 10GW with >=3GW added in trailing 90 days"
    },
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.495805,
      "label": "GPT-5.5 trained at flagship Abilene Stargate site",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.85,
      "source_url": "https://intuitionlabs.ai/articles/openai-stargate-datacenter-details",
      "adjusted_llr": -0.20103162792556845,
      "expected_date": "2026-03-31",
      "measurement_criterion": "OpenAI confirms GPT-5.5 trained on NVIDIA GB200 cluster at Stargate Abilene with measurable capability gains over GPT-5.4"
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5833,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2365077975594923,
      "expected_date": "2026-04-16",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "prior_prob",
  "inside_weight": 0.6137692746187193,
  "outside_weight": 0.38623072538128067,
  "posterior_prob": 0.29077266049571776,
  "posterior_logit": -0.8916343967992859,
  "predictor_brier": 0.01,
  "inside_posterior": 0.29077266049571776,
  "blended_posterior": 0.29077266049571776,
  "reference_class_id": null,
  "total_adjusted_llr": -0.8916343967992859,
  "predictor_n_resolved": 1
}

Network propagation neighbors

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

No propagation data yet. Run inference/.venv/bin/python scripts/ops/run_loopy_belief_propagation.py on the droplet, or wait for the Sunday 02:00 UTC weekly cron.

Ticker exposure

3 ticker(s) linked

Adverse (3)

MPCPSXVLO

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_NO_AI_PAUSE_5YNo major AI pause through 2031ai_regulatory_pause
correlateS_AI_PAUSE_2028AI pause beginning 2028ai_regulatory_pause

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.663gdeltmeta earnings layoffs ai efficiency infrastructure push 2026 4mentionspending2026-04-30
0.660gdeltai fears surging crude oil 151510490.htmlmentionspending2026-04-30
0.639manifoldWhat will WTI Crude Oil (WTI) hit in May 2026? (Polymarket)mentionspending2026-04-25
0.625gdeltmicrosoft q3 results top expectations driven by intelligent cloud strength 1091450.htmlmentionspending2026-04-30
0.624manifoldWill the WTI Crude Oil Spot Price be above $100 on May 11, 2026?62%mentionspending2026-05-01
0.616manifoldWill the WTI Crude Oil Spot Price be above $100 on May 21, 2026?89%mentionspending2026-05-12
0.608manifoldWill the WTI Crude Oil Spot Price be above $94 on June 10, 2026?64%mentionspending2026-05-29
0.607manifoldWhat will (top 1% 2026 AMC 12A) + 10 * (top 5% 2027 AIME I) be?mentionspending2026-05-28
0.606manifoldLimitless Markets US approved as a DCM by the CFTC in 2026?66%mentionspending2026-05-05
0.603polymarketWill Haas be the 2026 F1 Constructors' Champion?1%mentionspending2025-12-08

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "H1 2026 breakthrough",
  "mode": "FORECAST",
  "role": "Cited-Firm",
  "context": "Extends CMQ_021 (AI as macro variable) with specific H1 2026 breakthrough timing. Distinct near-term forecast.",
  "to_year": 2026,
  "conv_cues": "institutional timing commitment",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "H1 2026",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-02-22",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Stargate exceeds 10GW milestone with 3GW added in 90 days",
      "source": "https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age/ — Stargate capacity update",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age/",
      "expected_date": "2026-02-28",
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "deep_research",
      "measurement_criterion": "OpenAI publicly confirms Stargate datacenter capacity exceeds 10GW with >=3GW added in trailing 90 days"
    },
    {
      "kind": "llm_pre_event",
      "label": "GPT-5.5 trained at flagship Abilene Stargate site",
      "source": "https://intuitionlabs.ai/articles/openai-stargate-datacenter-details — Stargate Abilene flagship",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://intuitionlabs.ai/articles/openai-stargate-datacenter-details",
      "expected_date": "2026-03-31",
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "deep_research",
      "measurement_criterion": "OpenAI confirms GPT-5.5 trained on NVIDIA GB200 cluster at Stargate Abilene with measurable capability gains over GPT-5.4"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-04-16",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2026-06-08",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler 2026 AI capex hits $700B run-rate",
      "source": "https://aijourn.com/700-billion-ai-capex-in-2026-following-the-capital-flows-from-hyperscalers-to-chipmakers/ — $700B capex",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://aijourn.com/700-billion-ai-capex-in-2026-following-the-capital-flows-from-hyperscalers-to-chipmakers/",
      "expected_date": "2026-06-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Combined Microsoft + Meta + Google + Amazon + Oracle 2026 capex guidance reaches >=$700B annualized rate (vs ~$365B in 2025)"
    },
    {
      "kind": "event",
      "label": "H1 2026 will deliver a 'massive AI breakthrough' driven by unprecedented concentration of computational power at leading American laboratori",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "sou
... (truncated)