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INF_003predictionMacro/EconomyAI-infrastructure-buildout

The global AI infrastructure buildout is in its earliest phase — only a few hundred billion of a trillions-of-dollars transition has been deployed; Huang calls it the largest infrastructure buildout in human history.

Predictor: Jensen Huang

Prior probability
72.0%
Current probability
43.3%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
pending
Window
2026-01-01 – 2030-12-31
Edges in / out
2 / 0
Tickers exposed
0

Prediction text

The global AI infrastructure buildout is in its earliest phase — only a few hundred billion of a trillions-of-dollars transition has been deployed; Huang calls it the largest infrastructure buildout in human history. | AI is energy, AI is chips, the models, and the applications | Hyperscaler 2026-27 capex guidance; NVIDIA GTC roadmap

Key catalyst: Hyperscaler 2026-27 capex guidance; NVIDIA GTC roadmap

Watch events: Hyperscaler combined annual capex; NVIDIA quarterly DC revenue; global DC power growth

Verbatim quote

From episode "The Architecture of Intelligence: AI Infrastructure, Energy & Networking Predictions (2023-2026)"
AI is energy, AI is chips, the models, and the applications

Resolution evidence

Status: pending

OpenAI alone committed $1.4T / ~30 GW (Altman, Oct 2025). Morgan Stanley: >$1T hyperscaler capex 2025-26, ~$3T of infra spend still ahead. HSBC: ~$2T global AI infra push.

Predictor: Jensen Huang

κ + Brier as of 2026-05-22
κ (discount)
0.808
Brier
0.0128
excellent
Hits / Misses
6 / 0
of 8 resolved
Hit rate
75.0%
Calibration plot (stated vs observed)

Evidence about this node from Jensen Huang 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

4 prob_history rows
0%25%50%75%100%prior 72%2026-05-032026-05-172026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 43.3%

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: 7 pending
  1. 2026-04-01 → 2027-04-30pendingHyperscaler 2026-2027 capex guidance crosses $500B aggregate annual
    How: MSFT/GOOG/META/AMZN combined fiscal-year capex guidance per latest earnings calls exceeds $500B for any single calendar year, validating earliest-phase trillions thesis
    Source: https://www.datacenterdynamics.com/en/news/openai-announces-five-more-us-stargate-data-centers-with-oracle-and-softbank/conf 75%
  2. 2026-12-11pendingQ1 window check-in (25%)
  3. 2027-03-31pendingNVIDIA GTC 2027 roadmap names successor architecture to Rubin (post-Rubin tier)
    How: Jensen Huang GTC 2027 keynote unveils named architecture beyond Rubin Ultra (e.g., Feynman) with stated multi-year roadmap and shipping timeline
    Source: https://meyka.com/blog/openais-stargate-reaches-10gw-ai-capacity-target-ahead-of-schedule-2604/conf 70%
  4. 2027-11-21pendingQ2 window check-in (50%)
  5. 2027-01-01 → 2029-06-30pendingUS grid-interconnection queue for AI data centers exceeds 200GW
    How: FERC, EIA, or LBNL annual interconnection queue report shows AI/data-center load requests in queue >=200GW
    Source: https://intuitionlabs.ai/articles/openai-stargate-datacenter-detailsconf 65%
  6. 2027-06-01 → 2029-06-30pendingCumulative AI infrastructure deployed crosses $1T mark per Bloomberg/IDC tracker
    How: Bloomberg AI Capex Tracker or IDC AI Infrastructure Spend report records cumulative deployed AI infrastructure investment crossing $1T threshold
    Source: https://letsdatascience.com/news/openai-secures-10gw-us-ai-compute-capacity-4e36efb7conf 70%
  7. 2028-10-31pendingQ3 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: 43%)

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
LBP2026-05-24T02:00:02Z43.3%-2.0pp
Network propagation: 45.3% → 43.3%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z45.3%-4.1pp
Network propagation: 49.3% → 45.3%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z49.3%-8.1pp
Network propagation: 57.5% → 49.3%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z57.5%-14.5pp
Network propagation: 72.0% → 57.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9

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.

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_NO_RECESSION_5YNo NBER recession through 2031macro_recession
correlateS_COMPUTE_100GW_2030Compute: 100GW national-scale by Dec 2030compute_scale

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2030-12-31[Capital Markets 2030-12] repurposed Bitcoin-mining facility M&A [INF_003] Hyperscaler combined annual capex; NVIDIA quarterly DC revenue; global DC power growth [247_052] AI enters government in 2-4 years will allow thoughtful UBI programs laterpending

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.599gdeltgorilla technology yotta expand india ai infrastructure collaboration in project valued at approximately us2 8 billionmentionspending2026-04-30

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "trillions $",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "context": "Huang frames AI infrastructure as a 'five-layer cake' (energy, chips, systems, models, applications). Repeated across keynotes and interviews that the transition is multi-trillion in scale and is just beginning.",
  "to_year": 2030,
  "verbatim": "AI is energy, AI is chips, the models, and the applications",
  "conv_cues": "largest in history; multi-layer framework; CEO FIRST_PERSON",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "2026-2030+",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler 2026-2027 capex guidance crosses $500B aggregate annual",
      "source": "https://www.datacenterdynamics.com/en/news/openai-announces-five-more-us-stargate-data-centers-with-oracle-and-softbank/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.75,
      "expected_date": "2026-10-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-04-30",
        "from": "2026-04-01"
      },
      "measurement_criterion": "MSFT/GOOG/META/AMZN combined fiscal-year capex guidance per latest earnings calls exceeds $500B for any single calendar year, validating earliest-phase trillions thesis"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-12-11",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA GTC 2027 roadmap names successor architecture to Rubin (post-Rubin tier)",
      "source": "https://meyka.com/blog/openais-stargate-reaches-10gw-ai-capacity-target-ahead-of-schedule-2604/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2027-03-31",
      "research_origin": "training",
      "measurement_criterion": "Jensen Huang GTC 2027 keynote unveils named architecture beyond Rubin Ultra (e.g., Feynman) with stated multi-year roadmap and shipping timeline"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2027-11-21",
      "observed_date": null
    },
    {
      "kind": "llm_post_event",
      "label": "US grid-interconnection queue for AI data centers exceeds 200GW",
      "source": "https://intuitionlabs.ai/articles/openai-stargate-datacenter-details",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.65,
      "expected_date": "2028-03-31",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2029-06-30",
        "from": "2027-01-01"
      },
      "measurement_criterion": "FERC, EIA, or LBNL annual interconnection queue report shows AI/data-center load requests in queue >=200GW"
    },
    {
      "kind": "llm_pre_event",
      "label": "Cumulative AI infrastructure deployed crosses $1T mark per Bloomberg/IDC tracker",
      "source": "https://letsdatascience.com/news/openai-secures-10gw-us-ai-compute-capacity-4e36efb7",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2028-06-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2029-06-30",
        "from": "2027-06-01"
      },
      "measurement_criterion": "Bloomberg AI Capex Tracker or IDC AI Infrastructure Spend report records cumulative deployed AI infrastructure investment crossing $1T threshold"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight":
... (truncated)