US total energy consumption will rise by approximately 10% over the next decade — the largest sustained-growth period since mid-20th-century industrialization — driven by AI data centers, electrification of transport, and reindustrialization.
Predictor: Morgan Stanley
Prediction text
US total energy consumption will rise by approximately 10% over the next decade — the largest sustained-growth period since mid-20th-century industrialization — driven by AI data centers, electrification of transport, and reindustrialization. | EIA 2027 AEO release
Key catalyst: EIA 2027 AEO release
Watch events: EIA AEO annual updates; PJM/ERCOT/CAISO load forecasts; FERC interconnection queue statistics
Resolution evidence
EIA 2026 Annual Energy Outlook projections align within ±2pp; PJM/ERCOT/CAISO 2025-2026 load-growth forecasts confirm acceleration.
Predictor: Morgan Stanley
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
This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.
Probability over time
Milestone chain
- 2027-09-27pendingQ1 window check-in (25%)
- 2029-06-22pendingQ2 window check-in (50%)
- 2031-03-18pendingQ3 window check-in (75%)
No downstream cascades — this prediction is a leaf in the dependency graph.
What if this resolves?
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
Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| killer | TK09 Energy Grid Cap (Data Center Power Wall) | 35.0% | 0.050 | 0.750 | +0.021 |
Top outgoing (children)
Predictions THIS node influences
No outgoing edges.
Prerequisites (3)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| correlate | S_GRID_50GW_2027 | 50GW dedicated AI/data center grid by Dec 2027 | energy_grid_expansion | — |
| correlate | S_COMPUTE_100GW_2030 | Compute: 100GW national-scale by Dec 2030 | compute_scale | — |
| killer | TK09 | Energy Grid Cap (Data Center Power Wall) | — | — |
Dependents (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Validations (1)
| Observed at | Status | By | Notes |
|---|---|---|---|
| 2026-04-29 | partial | thesis_timeline_v1.0_import | EIA 2026 Annual Energy Outlook projections align within ±2pp; PJM/ERCOT/CAISO 2025-2026 load-growth forecasts confirm acceleration. |
Linked documents (2)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.719 | manifold | Will data centers consume more than 10% of US electricity usage by EOY 2028? | 65% | mentions | pending | 2026-05-28 |
| 0.634 | manifold | Will May 2026 U.S. real personal consumption expenditures rise at least 0.3% month-over-month? | 24% | mentions | pending | 2026-06-06 |
Raw metadata
{
"nia": false,
"qty": "+10%",
"mode": "FORECAST",
"role": "Cited-Firm",
"context": "Byrd / Maheshwari lead Morgan Stanley energy-megatrends team. Directly validates Musk / Schmidt / Aschenbrenner gigawatt-constraint thesis. Couples with INF_010 (74 GW DC demand by 2028) and INF_012 (126 GW/yr AI DC power).",
"to_year": 2035,
"conv_cues": "specific % target; institutional research",
"direction": "UP",
"from_year": 2026,
"timeframe": "2026-2035",
"conv_level": "HIGH",
"milestones": [
{
"kind": "quartile_checkpoint",
"label": "Q1 window check-in (25%)",
"status": "pending",
"weight": 0.05,
"ordinal": -5,
"source_id": null,
"expected_date": "2027-09-27",
"observed_date": null
},
{
"kind": "scenario_signal",
"label": "Scenario fires: 50GW dedicated AI/data center grid by Dec 2027",
"status": "pending",
"weight": 0.5,
"ordinal": -4,
"source_id": "S_GRID_50GW_2027",
"expected_date": "2027-12-31",
"observed_date": null
},
{
"kind": "quartile_checkpoint",
"label": "Q2 window check-in (50%)",
"status": "pending",
"weight": 0.05,
"ordinal": -3,
"source_id": null,
"expected_date": "2029-06-22",
"observed_date": null
},
{
"kind": "scenario_signal",
"label": "Scenario fires: Compute: 100GW national-scale by Dec 2030",
"status": "pending",
"weight": 0.5,
"ordinal": -2,
"source_id": "S_COMPUTE_100GW_2030",
"expected_date": "2030-12-31",
"observed_date": null
},
{
"kind": "quartile_checkpoint",
"label": "Q3 window check-in (75%)",
"status": "pending",
"weight": 0.05,
"ordinal": -1,
"source_id": null,
"expected_date": "2031-03-18",
"observed_date": null
},
{
"kind": "event",
"label": "US total energy consumption will rise by approximately 10% over the next decade — the largest sustained-growth period since mid-20th-century",
"status": "pending",
"weight": 1,
"ordinal": 0,
"source_id": "INF_044",
"expected_date": "2032-12-11",
"observed_date": null
}
],
"repeat_eps": 1,
"affiliation": "Morgan Stanley Research",
"attribution": "CITED",
"granularity": "YEAR_RANGE",
"source_refs": "4, 14",
"target_date": "2030-06-15T00:00:00",
"display_date": "2032-12-11",
"episode_date": "2026-04-21T00:00:00",
"key_catalyst": "EIA 2027 AEO release",
"parse_method": "YEAR_RANGE midpoint",
"domain_bucket": "Energy",
"episode_title": "The Paradigm Shift in Global Power: Nuclear, Solar, Battery & EV-Charging Predictions (2023-2026)",
"flag_repeated": false,
"in_5yr_window": true,
"source_report": "Energy Predictions Research Plan.md (2026-04-21)",
"appears_in_eps": "INF-RPT",
"futurist_phase": "Phase 2 (2027-2028)",
"is_macro_claim": false,
"total_mentions": 1,
"priority_weight": 4,
"report_evidence": "Anchor section: Macroeconomic and Geopolitical Imperatives of Power.",
"active_end_month": "2035-12",
"recent_statement": "Morgan Stanley 2026 Thematic Megatrends: US energy +10% decade-over-decade.",
"watch_events_raw": "EIA AEO annual updates; PJM/ERCOT/CAISO load forecasts; FERC interconnection queue statistics",
"months_from_today": 50,
"probability_layer": "Higher (in-flight)",
"active_start_month": "2026-01",
"december_dispersal": {
"reason": "december_dispersal: domain=Energy → 11/2035",
"new_date": "2035-11-30",
"old_date": "2035-12-31",
"applied_at": "2026-04-30T16:28:34.304992+00:00"
},
"flag_nia_bracketed": false,
"track_record_grade": "A-",
"track_record_notes": "Morgan Stanley sell-side macro forecasts accurate within reasonable tolerance on most directional calls; specific % numbers tend to be directionally correct.",
"contradicting_notes": "Efficiency gains in inference compute (Vera Rubin, MI400) and heat-pump adoptio