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AUT_007predictionMacro/EconomyUS-GDP-5-to-6-2-percent-2026

2026 US GDP growth 5% to 6.2% driven directly by AI productivity — citing massive productivity increases unlocked by enterprise AI integration as primary catalyst. Traditional enterprise SaaS 'maintenance and migration' revenue models structurally coll...

Predictor: Chamath Palihapitiya

Prior probability
18.0%
Current probability
12.8%
evolves via intake + LBP
Conviction
5/5
Signal quality
B
Resolution
pending
Window
2026-01-01 – 2026-12-31
Edges in / out
4 / 0
Tickers exposed
4

Prediction text

2026 US GDP growth 5% to 6.2% driven directly by AI productivity — citing massive productivity increases unlocked by enterprise AI integration as primary catalyst. Traditional enterprise SaaS 'maintenance and migration' revenue models structurally collapse as autonomous agents self-heal/write/migrate software. | Q2/Q3 2026 GDP prints

Key catalyst: Q2/Q3 2026 GDP prints

Watch events: BEA quarterly GDP releases

Resolution evidence

Status: pending

Q1 2026 US GDP ~2.5-3% annualized; consensus 2026 full-year 2.2-2.8%. Palihapitiya 5-6.2% extremely aggressive vs consensus.

Predictor: Chamath Palihapitiya

κ + Brier as of 2026-05-22
κ (discount)
0.500
Brier
Hits / Misses
0 / 0
Hit rate

Evidence about this node from Chamath Palihapitiya 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 18%2026-05-022026-05-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 12.8%

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: 2 fired ✓ · 2 overdue ⏱ · 3 pending
  1. 2026-03-12overdueQ1 window check-in (25%)
  2. 2026-04-30hitQ1 2026 GDP advance estimate prints 2.0% — well below 5-6.2% claim
    How: BEA Q1 2026 advance GDP estimate <3% annualized, contradicting Chamath's 5-6.2% claim
    Source: BEA Q1 2026 release reported by Bloomberg / Fox Business — 2.0% annualizedconf 99%
    Notes: HIT (negative) — Q1 2026 came in at 2.0%, far below 5-6.2% AI-productivity-driven prediction. Thesis already on track to MISS.
  3. 2026-04-30hitGoldman Sachs raises 2026 GDP forecast above consensus
    How: Goldman Sachs publishes 2026 (Q4 YoY) GDP forecast at 2.5%, above 2.1% consensus — still far below 5-6.2%
    Source: Goldman Sachs Insights — US GDP outperformance callconf 95%
    Notes: HIT — but at 2.5% vs Chamath's 5-6.2%. Even bullish Goldman call is roughly half of the claim.
  4. 2026-05-22overdueQ2 window check-in (50%)
  5. 2026-07-31pendingQ2 2026 GDP advance estimate release
    How: BEA Q2 2026 advance GDP estimate; AUT_007 thesis requires reading >5% annualized
    Source: Bureau of Economic Analysis (BEA) quarterly releaseconf 95%
  6. 2026-07-01 → 2026-08-31pendingEnterprise SaaS revenue collapse evidence emerges in Q2 2026 reports
    How: ≥3 large enterprise SaaS vendors (e.g., Salesforce, Workday, ServiceNow, Adobe) report YoY 'maintenance and migration' revenue decline >10% citing autonomous agent self-service
    Source: Q2 2026 enterprise SaaS earnings releasesconf 30%
    Notes: Cascade — Chamath's specific structural-collapse claim. Low confidence given Q1 2026 showed continued enterprise software growth.
  7. 2026-08-01pendingQ3 window check-in (75%)
  8. 2026-10-30pendingQ3 2026 GDP advance estimate release
    How: BEA Q3 2026 advance GDP estimate; combined with Q2 must average >5% annualized to support thesis
    Source: Bureau of Economic Analysis (BEA) quarterly releaseconf 95%

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: 13%)

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
metadata_milestone_miss_sweep2026-05-30T22:15:00Z12.8%-2.4pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.128 blend=0.128 LLR=-0.203 κ=0.50 no_blend
Raw metadata
{
  "trf": 0.5881123843731557,
  "kappa": 0.5,
  "base_rate": null,
  "predictor": "Chamath Palihapitiya",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -1.7190800434221705,
  "bayes_factor": "1.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.151989697825649,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2027325540540822,
      "expected_date": "2026-05-22",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5883213309387909,
  "outside_weight": 0.4116786690612091,
  "posterior_prob": 0.12765957446808512,
  "posterior_logit": -1.9218125974762525,
  "predictor_brier": null,
  "inside_posterior": 0.12765957446808512,
  "blended_posterior": 0.12765957446808512,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2027325540540822,
  "predictor_n_resolved": 0
}
metadata_milestone_miss_sweep2026-05-02T22:07:21Z15.2%-2.8pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.152 blend=0.152 LLR=-0.203 κ=0.50 no_blend
Raw metadata
{
  "trf": 0.6650500679109432,
  "kappa": 0.5,
  "base_rate": null,
  "predictor": "Chamath Palihapitiya",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -1.5163474893680886,
  "bayes_factor": "1.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.18,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2027325540540822,
      "expected_date": "2026-03-12",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "prior_prob",
  "inside_weight": 0.5344649524623397,
  "outside_weight": 0.4655350475376603,
  "posterior_prob": 0.151989697825649,
  "posterior_logit": -1.7190800434221707,
  "predictor_brier": null,
  "inside_posterior": 0.151989697825649,
  "blended_posterior": 0.151989697825649,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2027325540540822,
  "predictor_n_resolved": 0
}

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%0.0500.180+0.042
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.180+0.039

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

4 ticker(s) linked

Adverse (4)

ALLPGRTRVUBER

Prerequisites (4)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_NO_RECESSION_5YNo NBER recession through 2031macro_recession
correlateS_RECESSION_2026NBER recession declared 2026macro_recession
killerTK11Autonomous Regulatory Block (Level 4 Halt)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "5-6.2% GDP growth",
  "mode": "FORECAST",
  "role": "Cited-VC",
  "context": "Specific 2026 GDP projection distinct from 236_007 (Yang $90K-$100K GDP per capita), AI_013 (SaaSpocalypse). Bold Palihapitiya macro call.",
  "to_year": 2026,
  "conv_cues": "specific GDP range; AI-driven attribution",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "2026",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2026-03-12",
      "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": "Q1 2026 GDP advance estimate prints 2.0% — well below 5-6.2% claim",
      "notes": "HIT (negative) — Q1 2026 came in at 2.0%, far below 5-6.2% AI-productivity-driven prediction. Thesis already on track to MISS.",
      "source": "BEA Q1 2026 release reported by Bloomberg / Fox Business — 2.0% annualized",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.bloomberg.com/news/articles/2026-04-30/us-gdp-rose-2-in-early-2026-in-sign-of-economy-s-resilience",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "BEA Q1 2026 advance GDP estimate <3% annualized, contradicting Chamath's 5-6.2% claim"
    },
    {
      "kind": "llm_pre_event",
      "label": "Goldman Sachs raises 2026 GDP forecast above consensus",
      "notes": "HIT — but at 2.5% vs Chamath's 5-6.2%. Even bullish Goldman call is roughly half of the claim.",
      "source": "Goldman Sachs Insights — US GDP outperformance call",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.goldmansachs.com/insights/articles/us-gdp-growth-is-projected-to-outperform-economist-forecasts-in-2026",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Goldman Sachs publishes 2026 (Q4 YoY) GDP forecast at 2.5%, above 2.1% consensus — still far below 5-6.2%"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-05-22",
      "observed_date": null,
      "miss_emitted_at": "2026-05-30T22:15:00.756418+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Q2 2026 GDP advance estimate release",
      "source": "Bureau of Economic Analysis (BEA) quarterly release",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.bea.gov/data/gdp/gross-domestic-product",
      "expected_date": "2026-07-31",
      "research_origin": "training",
      "measurement_criterion": "BEA Q2 2026 advance GDP estimate; AUT_007 thesis requires reading >5% annualized"
    },
    {
      "kind": "llm_post_event",
      "label": "Enterprise SaaS revenue collapse evidence emerges in Q2 2026 reports",
      "notes": "Cascade — Chamath's specific structural-collapse claim. Low confidence given Q1 2026 showed continued enterprise software growth.",
      "source": "Q2 2026 enterprise SaaS earnings releases",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.3,
      "expected_date": "2026-07-31",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-08-31",
        "from": "2
... (truncated)