← Cockpit
CYB_008predictionSemismemory-capex-8-to-30

Hyperscaler capital expenditure specifically on memory architecture leaps from approximately 8% of total AI capex (2023) to 30% by end-2026 — High Bandwidth Memory (HBM) and DRAM face severe structural supply constraints with DRAM prices more than doub...

Predictor: Morgan Stanley

Prior probability
78.0%
Current probability
68.8%
evolves via intake + LBP
Conviction
5/5
Signal quality
B
Resolution
in_progress
Window
2026-01-01 – 2026-12-31
Edges in / out
0 / 0
Tickers exposed
14

Prediction text

Hyperscaler capital expenditure specifically on memory architecture leaps from approximately 8% of total AI capex (2023) to 30% by end-2026 — High Bandwidth Memory (HBM) and DRAM face severe structural supply constraints with DRAM prices more than doubling. | Q2 2026 memory-maker earnings

Key catalyst: Q2 2026 memory-maker earnings

Watch events: DRAMeXchange spot prices; HBM allocation; Micron/Samsung/SK Hynix quarterly guidance

Resolution evidence

Status: in_progress

HBM4 pricing, DRAM spot prices up 80%+ YoY Q4-2025 → Q1-2026; Micron/Samsung/SK Hynix record capex guidance for agent-era memory.

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

2 prob_history rows
0%25%50%75%100%prior 78%2026-05-022026-05-15
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 68.8%

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: 1 fired ✓ · 2 overdue ⏱ · 3 pending
  1. 2026-03-05overdueQ1 window check-in (25%)
  2. 2026-04-03hitMemory consumes ~30% of hyperscaler AI capex in 2026 confirmed
    How: SemiAnalysis or equivalent firm publicly confirms memory accounts for ~30% of total hyperscaler AI capex in calendar 2026 (4x increase vs 2023)
    Source: Tom's Hardware — Memory Will Consume 30% of Hyperscaler AI Spending This Yearconf 99%
    Notes: HIT — SemiAnalysis confirmed 30% of hyperscaler capex going to memory in 2026, exactly matching prediction. 4x the ~8% 2023 baseline.
  3. 2026-05-07overdueQ2 window check-in (50%)
  4. 2026-07-09pendingQ3 window check-in (75%)
  5. 2026-07-15 → 2026-08-31pendingQ2 2026 memory-maker earnings confirm 30%+ memory capex share
    How: SK Hynix, Samsung, Micron Q2 2026 earnings disclose hyperscaler memory orders ≥30% of total AI capex per customer disclosure
    Source: ChronicleJournal/TokenRing — The AI Memory Supercycle: Micron Shatters Records as HBM Capacity Sells Out Through 2026conf 90%
    Notes: Direct measurement of headline criterion.
  6. 2026-04-01 → 2026-12-31pendingNVIDIA secures preferential HBM supply terms below market rates
    How: Industry reporting confirms NVIDIA receives HBM supply at below-spot pricing through long-term agreements
    Source: Tom's Hardware — Memory Will Consume 30% of Hyperscaler Spending (Nvidia preferential supply)conf 85%
  7. 2026-09-01 → 2026-12-31pendingDRAM prices more than double in 2026 vs 2025 baseline
    How: DRAM ASP in Q4 2026 ≥2.0x Q4 2025 baseline per TrendForce/SemiAnalysis tracking
    Source: SemiAnalysis via Tom's Hardware / Cloud News — Memory Threatens to Devour Hyperscale Cloud Spendingconf 85%
  8. 2026-11-01 → 2027-03-31pendingHyperscaler total capex in 2026 reaches ~$600-725 billion
    How: Big Five hyperscalers combined 2026 capex disclosed at ≥$600B (36%+ YoY growth)
    Source: Yahoo Finance — Magnificent 7 earnings reveal AI spending surge, hyperscaler capex set to reach $725B in 2026conf 90%
  9. 2027-01-01 → 2027-12-31pendingMemory pricing surge triggers 2027 industry margin compression and EPS misses
    How: Hyperscaler 2027 industry median gross margin compresses ≥5pp; consensus EPS miss ≥10% per Morgan Stanley framework
    Source: Morgan Stanley framework via Random Tech — How AI Is Reshaping Global Memory Supply Chainconf 55%

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: 69%)

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_sweep2026-05-15T22:14:51Z68.8%-4.8pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.688 blend=0.688 LLR=-0.237 κ=0.58 no_blend
Raw metadata
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  "trf": 0.6293214636488222,
  "kappa": 0.5833,
  "base_rate": null,
  "predictor": "Morgan Stanley",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 1.029158575771784,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.7367527356802764,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "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": "2026-05-07",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5594749754458244,
  "outside_weight": 0.44052502455417564,
  "posterior_prob": 0.6884002204839857,
  "posterior_logit": 0.7926507782122918,
  "predictor_brier": 0.01,
  "inside_posterior": 0.6884002204839857,
  "blended_posterior": 0.6884002204839857,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2365077975594923,
  "predictor_n_resolved": 1
}
metadata_milestone_miss_sweep2026-05-02T22:07:21Z73.7%-4.3pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.737 blend=0.737 LLR=-0.237 κ=0.58 no_blend
Raw metadata
{
  "trf": 0.6650500679109432,
  "kappa": 0.5833,
  "base_rate": null,
  "predictor": "Morgan Stanley",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 1.265666373331276,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.78,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
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      "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": "2026-03-05",
      "measurement_criterion": null
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  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "prior_prob",
  "inside_weight": 0.5344649524623397,
  "outside_weight": 0.4655350475376603,
  "posterior_prob": 0.7367527356802764,
  "posterior_logit": 1.0291585757717838,
  "predictor_brier": 0.01,
  "inside_posterior": 0.7367527356802764,
  "blended_posterior": 0.7367527356802764,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2365077975594923,
  "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

14 ticker(s) linked

Beneficiaries (13)

APLDNVDACRWVMUMETAMSFTSTXAMZNATEYYGOOGLAMDORCLSFTBY

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importHBM4 pricing, DRAM spot prices up 80%+ YoY Q4-2025 → Q1-2026; Micron/Samsung/SK Hynix record capex guidance for agent-era memory.

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.595gdeltvig vs hdv growing income 155000719.htmlmentionspending2026-04-30

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "8% → 30% CapEx; DRAM 2x",
  "mode": "FORECAST",
  "role": "Cited-Firm",
  "context": "Memory-wall thesis extension of CMQ_028. Positions Micron / Samsung / SK Hynix as 'arbiters of agentic deployment'. Couples with SEM_021 (100x model size), SEM_022 (quantization architectures).",
  "to_year": 2026,
  "conv_cues": "specific % shift; specific price-doubling claim",
  "direction": "UP",
  "from_year": 2026,
  "timeframe": "by end-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": "2026-03-05",
      "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": "Memory consumes ~30% of hyperscaler AI capex in 2026 confirmed",
      "notes": "HIT — SemiAnalysis confirmed 30% of hyperscaler capex going to memory in 2026, exactly matching prediction. 4x the ~8% 2023 baseline.",
      "source": "Tom's Hardware — Memory Will Consume 30% of Hyperscaler AI Spending This Year",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.tomshardware.com/tech-industry/memory-will-consume-30-percent-of-hyperscaler-spending-this-year",
      "expected_date": "2026-04-03",
      "observed_date": "2026-04-03",
      "research_origin": "deep_research",
      "measurement_criterion": "SemiAnalysis or equivalent firm publicly confirms memory accounts for ~30% of total hyperscaler AI capex in calendar 2026 (4x increase vs 2023)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-05-07",
      "observed_date": null,
      "miss_emitted_at": "2026-05-15T22:14:51.696830+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-07-09",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Q2 2026 memory-maker earnings confirm 30%+ memory capex share",
      "notes": "Direct measurement of headline criterion.",
      "source": "ChronicleJournal/TokenRing — The AI Memory Supercycle: Micron Shatters Records as HBM Capacity Sells Out Through 2026",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://markets.chroniclejournal.com/chroniclejournal/article/tokenring-2025-12-30-the-ai-memory-supercycle-micron-shatters-records-as-hbm-capacity-sells-out-through-2026",
      "expected_date": "2026-08-07",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-08-31",
        "from": "2026-07-15"
      },
      "measurement_criterion": "SK Hynix, Samsung, Micron Q2 2026 earnings disclose hyperscaler memory orders ≥30% of total AI capex per customer disclosure"
    },
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA secures preferential HBM supply terms below market rates",
      "source": "Tom's Hardware — Memory Will Consume 30% of Hyperscaler Spending (Nvidia preferential supply)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.tomshardware.com/tech-industry/memory-will-consume-30-percent-of-hyperscaler-spending-this-year",
      "expected_date": "2026-08-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
 
... (truncated)