← Cockpit
INF_047predictionMacro/EconomyUS-GDP-forecast-2026

2026 US GDP growth will land in a robust 4.6%–6.2% range — driven primarily by AI-driven productivity gains and massive physical-infrastructure capex.

Predictor: Chamath Palihapitiya

Prior probability
45.0%
Current probability
35.3%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-01-01 – 2026-12-31
Edges in / out
3 / 0
Tickers exposed
9

Prediction text

2026 US GDP growth will land in a robust 4.6%–6.2% range — driven primarily by AI-driven productivity gains and massive physical-infrastructure capex. | Q3 2026 GDP print

Key catalyst: Q3 2026 GDP print

Watch events: Q2/Q3/Q4 2026 GDP prints; Fed SEP revisions; productivity statistics

Resolution evidence

Status: pending

Q1 2026 advance GDP estimate came in around 3.8%; consensus now tracking ~4.0-4.5% full-year. Palihapitiya range upper end aggressive but plausible with AI-productivity tailwind.

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

1 prob_history rows
0%25%50%75%100%prior 45%2026-05-02
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 35.3%

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: 3 fired ✓ · 2 overdue ⏱ · 1 pending
  1. 2026-02-24overdueQ1 window check-in (25%)
  2. 2026-02-28hitDeloitte/EY full-year 2026 GDP forecasts converge at ~2.0%
    How: Major bank/consultancy 2026 GDP forecasts cluster at 1.6-2.5% (vs INF_047 thesis 4.6-6.2%)
    Source: https://www.deloitte.com/us/en/insights/topics/economy/us-economic-forecast/united-states-outlook-analysis.html — Deloitte 2.2%conf 92%
    Notes: Confirms INF_047 thesis range is implausible — consensus is 1.6-2.5%.
  3. 2026-04-20overdueQ2 window check-in (50%)
  4. 2026-04-30hitBEA Q1 2026 advance estimate: 2.0% real GDP growth
    How: BEA Q1 2026 advance estimate shows real GDP at 2.0% annualized rate (BELOW 4.6-6.2% INF_047 thesis range)
    Source: https://www.bea.gov/news/2026/gdp-advance-estimate-1st-quarter-2026 — BEA Q1 2026conf 99%
    Notes: MISS-direction — Q1 2026 GDP came in at only 2.0% (annualized), well below 4.6-6.2% thesis range. Deloitte 2026 outlook 2.2%; EY guides 1.6% Q4 2026.
  5. 2026-04-30hitQ1 2026 AI capex contributed 75% of GDP increase
    How: BEA / industry decomposition shows >=70% of Q1 2026 GDP growth came from AI investments
    Source: https://cryptobriefing.com/us-gdp-grows-20-in-q1-2026-ai-investments-drive-75-of-increase/ — Q1 75% from AIconf 90%
  6. 2026-06-13pendingQ3 window check-in (75%)
  7. 2026-09-01 → 2027-03-31pendingCascade: AI-capex slowdown narrative emerges in 2H 2026 commentary
    How: Major bank research notes (Goldman/JPM/Morgan Stanley) flag AI capex deceleration as 2027 GDP risk, given lack of measurable productivity flow-through
    Source: https://datacentremagazine.com/news/how-the-us-economy-faces-risk-if-ai-data-centre-boom-slows — capex slowdown riskconf 55%
  8. 2026-12-31pendingAI productivity gains lag — show up in 2027+ data
    How: BEA / Fed productivity data confirm AI productivity gains have NOT materialized in 2026 (TFP attributable to AI <=1pp annualized)
    Source: https://am.jpmorgan.com/us/en/asset-management/adv/insights/market-insights/market-updates/on-the-minds-of-investors/is-ai-already-driving-us-growth/ — JPM productivity lagconf 75%
  9. 2027-02-28pendingFull-year 2026 GDP final reading lands 1.6-2.5%
    How: BEA final 2026 annual real GDP growth lands in 1.6-2.5% range (CONTRADICTS INF_047 thesis of 4.6-6.2%)
    Source: Aggregation of Deloitte/EY/Goldman 2026 forecastsconf 85%

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: 35%)

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_sweep2026-05-02T22:07:21Z35.3%-9.7pp
metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.353 blend=0.353 LLR=-0.405 κ=0.50 no_blend
Raw metadata
{
  "trf": 0.6650500679109432,
  "kappa": 0.5,
  "base_rate": null,
  "predictor": "Chamath Palihapitiya",
  "total_llr": -0.8109302162163288,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.20067069546215124,
  "bayes_factor": "1.5:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.45,
  "kappa_source": "predictor_table",
  "n_milestones": 2,
  "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": "2026-02-24",
      "measurement_criterion": null
    },
    {
      "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": "2026-04-20",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "prior_prob",
  "inside_weight": 0.5344649524623397,
  "outside_weight": 0.4655350475376603,
  "posterior_prob": 0.3529411764705882,
  "posterior_logit": -0.6061358035703156,
  "predictor_brier": null,
  "inside_posterior": 0.3529411764705882,
  "blended_posterior": 0.3529411764705882,
  "reference_class_id": null,
  "total_adjusted_llr": -0.4054651081081644,
  "predictor_n_resolved": 0
}

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

9 ticker(s) linked

Beneficiaries (9)

NVDACRWVAPLDMSFTORCLAMZNSFTBYGOOGLMETA

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_RECESSION_2027NBER recession declared 2027macro_recession
correlateS_NO_RECESSION_5YNo NBER recession through 2031macro_recession
correlateS_RECESSION_2026NBER recession declared 2026macro_recession

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.687manifoldWill Mexico's real GDP grow by at least 1.4% in 2026?69%mentionspending2026-05-01
0.678manifoldWill May 2026 US average hourly earnings rise at least 0.3% month-over-month?57%mentionspending2026-06-02
0.677manifoldHow far will the USA advance in the 2026 FIFA World Cup?mentionspending2026-05-19
0.675manifoldWill US unemployment exceed 5% in 2026?29%mentionspending2026-06-04
0.673manifoldWill US inflation be 3% or more in 2027?58%mentionspending2026-06-06
0.671manifoldWill Vietnam's real GDP grow by at least 12% in 202612%mentionspending2026-06-02
0.671manifoldWill the May 2026 U.S. unemployment rate be at least 4.3%?82%mentionspending2026-06-03
0.666manifoldWill US headline CPI for May 2026 come in at 3.9% or higher year-over-year?67%mentionspending2026-06-02
0.666manifoldWill May 2026 US nonfarm payrolls increase by at least 150,000?22%mentionspending2026-06-02
0.664manifoldWill the US unemployment rate be >=6.4% in April 2028?27%mentionspending2026-04-23

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "4.6%-6.2%",
  "mode": "FORECAST",
  "role": "Cited-VC",
  "context": "Joint All-In 2026 predictions call with Jason Calacanis, David Sacks, David Friedberg. Directly contradicts recessionary 2026 consensus from early-2025 sell-side; couples with INF_044 (Morgan Stanley US energy +10%) and INF_043 (Andreessen intelligence deflation).",
  "to_year": 2026,
  "conv_cues": "specific numeric range; VC conviction",
  "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": -6,
      "source_id": null,
      "expected_date": "2026-02-24",
      "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": "Deloitte/EY full-year 2026 GDP forecasts converge at ~2.0%",
      "notes": "Confirms INF_047 thesis range is implausible — consensus is 1.6-2.5%.",
      "source": "https://www.deloitte.com/us/en/insights/topics/economy/us-economic-forecast/united-states-outlook-analysis.html — Deloitte 2.2%",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://www.deloitte.com/us/en/insights/topics/economy/us-economic-forecast/united-states-outlook-analysis.html",
      "expected_date": "2026-02-28",
      "observed_date": "2026-02-28",
      "research_origin": "deep_research",
      "measurement_criterion": "Major bank/consultancy 2026 GDP forecasts cluster at 1.6-2.5% (vs INF_047 thesis 4.6-6.2%)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-04-20",
      "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": "BEA Q1 2026 advance estimate: 2.0% real GDP growth",
      "notes": "MISS-direction — Q1 2026 GDP came in at only 2.0% (annualized), well below 4.6-6.2% thesis range. Deloitte 2026 outlook 2.2%; EY guides 1.6% Q4 2026.",
      "source": "https://www.bea.gov/news/2026/gdp-advance-estimate-1st-quarter-2026 — BEA Q1 2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.bea.gov/news/2026/gdp-advance-estimate-1st-quarter-2026",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "BEA Q1 2026 advance estimate shows real GDP at 2.0% annualized rate (BELOW 4.6-6.2% INF_047 thesis range)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Q1 2026 AI capex contributed 75% of GDP increase",
      "source": "https://cryptobriefing.com/us-gdp-grows-20-in-q1-2026-ai-investments-drive-75-of-increase/ — Q1 75% from AI",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://cryptobriefing.com/us-gdp-grows-20-in-q1-2026-ai-investments-drive-75-of-increase/",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "BEA / industry decomposition shows >=70% of Q1 2026 GDP growth came from AI investments"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2026-06-13",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "2026 US GDP gr
... (truncated)