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SEM_031predictionSemis/Hardwarehardware

AI boom will cause severe cascading shortages in memory and GPUs — violently driving hardware prices up across enterprise and consumer segments.

Predictor: Alex Wissner-Gross

Prior probability
82.0%
Current probability
67.1%
evolves via intake + LBP
Conviction
4/5
Signal quality
A
Resolution
in_progress
Window
2026-01-01 – 2026-12-31
Edges in / out
3 / 10
Tickers exposed
32

Prediction text

AI boom will cause severe cascading shortages in memory and GPUs — violently driving hardware prices up across enterprise and consumer segments. | Delivery-time + DRAM-pricing monthly trackers

Key catalyst: Delivery-time + DRAM-pricing monthly trackers

Watch events: Apple Mac Studio delivery-time tracker; HBM/DDR5 contract pricing; consumer GPU MSRP vs retail spread

Resolution evidence

Status: in_progress

Apple Mac Studio high-memory SKUs 14→54 day delivery times Q1 2026 (Tom's Hardware). HBM/DDR5 enterprise pricing +30-50% 2025. Consumer GPU pricing inflation continuing.

Predictor: Alex Wissner-Gross

κ + Brier as of 2026-05-22
κ (discount)
0.844
Brier
0.0341
excellent
Hits / Misses
6 / 1
of 11 resolved
Hit rate
54.5%
Calibration plot (stated vs observed)

Evidence about this node from Alex Wissner-Gross 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

6 prob_history rows
0%25%50%75%100%prior 82%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 67.1%

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 ⏱ · 2 pending
  1. 2026-01-31hitDRAM prices up 60% in 2025 (baseline confirmation)
    How: Industry tracker (DRAMeXchange/TrendForce) confirms 2025 DRAM contract prices ended +60% YoY
    Source: https://wccftech.com/roundup/memory-crisis/ — DRAM +60% 2025conf 95%
  2. 2026-02-24overdueQ1 window check-in (25%)
  3. 2026-03-31hitDRAM consumer prices reach $700 (March 2026)
    How: Consumer DRAM price reaches >=$700 in March 2026, up from $250 in October 2025 (180% rise in 5 months)
    Source: https://tech-insider.org/memory-chip-shortage-2026-ai-consumer-electronics/ — Consumer DRAM $700conf 92%
  4. 2026-04-19overdueQ2 window check-in (50%)
  5. 2026-04-30hitHBM contract prices up high-teens to low-twenties in 2026
    How: SK Hynix and Samsung publicly raise 2026 HBM contract prices by 17-23% — Deloitte projects further 50% in 1H 2026
    Source: https://www.cnbc.com/2026/01/10/micron-ai-memory-shortage-hbm-nvidia-samsung.html — HBM price risesconf 90%
  6. 2026-06-12pendingQ3 window check-in (75%)
  7. 2026-06-30pendingNVIDIA cuts RTX 50-series consumer Blackwell production 30-40%
    How: NVIDIA RTX 50-series production cut >=30% in 1H 2026 due to HBM-allocation crowding out GDDR7 capacity
    Source: https://www.gpunex.com/blog/gpu-shortage-hbm-crisis-2026/ — RTX 50 cut 30-40%conf 85%
  8. 2026-09-30pendingHBM consumes 23% of total DRAM wafer capacity
    How: HBM allocation reaches >=23% of all DRAM wafer capacity (industry tracker confirmation), squeezing consumer/standard DRAM supply
    Source: https://tech-insider.org/memory-chip-shortage-2026-ai-consumer-electronics/ — HBM 23% wafersconf 85%
  9. 2026-12-01 → 2027-06-30pendingCascade: Memory price relief delayed until 2027-2029
    How: TrendForce/Gartner forecasts 2027 confirm HBM-DRAM gap will not close until 2028-2029, with prices flat or up through mid-2027
    Source: https://www.gpunex.com/blog/gpu-shortage-hbm-crisis-2026/ — gap closes 2028-2029conf 70%

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: 67%)

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
LBP2026-05-17T02:00:01Z67.1%+1.4pp
Network propagation: 65.7% → 67.1%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z65.7%+2.8pp
Network propagation: 62.9% → 65.7%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z62.9%+5.7pp
Network propagation: 57.2% → 62.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z57.2%-15.4pp
metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.572 blend=0.572 LLR=-0.684 κ=0.84 no_blend
Raw metadata
{
  "trf": 0.6650500679109432,
  "kappa": 0.8438,
  "base_rate": null,
  "predictor": "Alex Wissner-Gross",
  "total_llr": -0.8109302162163288,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.9730919223320591,
  "bayes_factor": "2.0:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.7257353543367631,
  "kappa_source": "predictor_table",
  "n_milestones": 2,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8438,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.3421314582216691,
      "expected_date": "2026-02-24",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8438,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.3421314582216691,
      "expected_date": "2026-04-19",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5344649524623397,
  "outside_weight": 0.4655350475376603,
  "posterior_prob": 0.5717094300467994,
  "posterior_logit": 0.28882900588872085,
  "predictor_brier": 0.03413,
  "inside_posterior": 0.5717094300467994,
  "blended_posterior": 0.5717094300467994,
  "reference_class_id": null,
  "total_adjusted_llr": -0.6842629164433383,
  "predictor_n_resolved": 11
}
LBP2026-04-30T16:39:51Z72.6%-3.5pp
Network propagation: 76.1% → 72.6%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z76.1%-5.9pp
Network propagation: 82.0% → 76.1%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.820-0.120
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.820+0.088
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.820+0.057

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq247_023
AI will be able to do everything a white collar worker does Dave Blundin
40.8%0.7200.050+0.096
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050+0.095
prereq242_005
Starship launch cadence will reach one every 5.3 minutes (27Peter Diamandis
49.1%0.6000.050-0.069
prereq232_051
Amazon's satellite construction outpaces launch capacity; duPeter Diamandis
49.1%0.6000.050-0.069
prereq248_033
Superhuman AI will make BCI-enhanced humans irrelevant compaDave Blundin
36.7%0.6000.050+0.056

Ticker exposure

32 ticker(s) linked

Beneficiaries (24)

ALABAMBAARMASMLCEVACRWVIRENMUNBISNVDASITMTSMAMDNXPIANETMRVLCSCODELLAVGOSIEGYLNVGYAMATQCOMATEYY

Adverse (4)

AMATINTCLRCXAMD

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK06China-Taiwan Military Conflict

Dependents (10)

Predictions enabled by this
TypePredTitleDomainLag
prereq247_023AI will be able to do everything a white collar worker does imminentlyAI
prereq247_055Acquisition of small specialized AI teams for hundreds of millions will become commonAI
prereq242_031Most large companies' business models will be disrupted in 2-5 yearsMarkets/Stocks
prereq230_006The frontier models will go dark — kept internal to benefit the labs in an all-out battle.AI
prereq231_035SpaceX/Elon will consume all their launch capacity for Starlink, leaving other providers constrained.Space
prereq248_033Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.AI
prereq232_051Amazon's satellite construction outpaces launch capacity; duopoly between Starlink and Amazon LEO.Space
prereq242_005Starship launch cadence will reach one every 5.3 minutes (274/day)Space
prereq232_046SpaceX will build a system that allows anyone to travel to moon and Mars after Starship V3 flies repeatedly.Space
prereq242_038Humans will land on the moon again in 2-3 years via StarshipSpace

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importApple Mac Studio high-memory SKUs 14→54 day delivery times Q1 2026 (Tom's Hardware). HBM/DDR5 enterprise pricing +30-50% 2025. Consumer GPU pricing inflation continuing.

Linked documents (5)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.703gdeltmicron technology growth exploding why 135145048.htmlmentionspending2026-04-30
0.691gdeltmeta beats estimates but soaring ai spending rattles investors 1091449.htmlmentionspending2026-04-30
0.658gdeltai fears surging crude oil 151510490.htmlmentionspending2026-04-30
0.656gdeltsamsung q1 earnings ai memory chip demand profit record.htmlmentionspending2026-04-30
0.640arxivZero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphsmentionspending2026-06-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "hardware prices",
  "mode": "FORECAST",
  "role": "Guest-VC/Physicist",
  "context": "Wissner-Gross predicts cascading mem/GPU shortages spreading from hyperscaler to enterprise to consumer hardware — hoarding behavior bleeding into edge devices.",
  "to_year": 2026,
  "conv_cues": "severe; cascading; violently",
  "direction": "UP",
  "from_year": 2026,
  "timeframe": "2026",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "DRAM prices up 60% in 2025 (baseline confirmation)",
      "source": "https://wccftech.com/roundup/memory-crisis/ — DRAM +60% 2025",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://wccftech.com/roundup/memory-crisis/",
      "expected_date": "2026-01-31",
      "observed_date": "2026-01-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Industry tracker (DRAMeXchange/TrendForce) confirms 2025 DRAM contract prices ended +60% YoY"
    },
    {
      "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": "DRAM consumer prices reach $700 (March 2026)",
      "source": "https://tech-insider.org/memory-chip-shortage-2026-ai-consumer-electronics/ — Consumer DRAM $700",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://tech-insider.org/memory-chip-shortage-2026-ai-consumer-electronics/",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Consumer DRAM price reaches >=$700 in March 2026, up from $250 in October 2025 (180% rise in 5 months)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-04-19",
      "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": "HBM contract prices up high-teens to low-twenties in 2026",
      "source": "https://www.cnbc.com/2026/01/10/micron-ai-memory-shortage-hbm-nvidia-samsung.html — HBM price rises",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://www.cnbc.com/2026/01/10/micron-ai-memory-shortage-hbm-nvidia-samsung.html",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "SK Hynix and Samsung publicly raise 2026 HBM contract prices by 17-23% — Deloitte projects further 50% in 1H 2026"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2026-06-12",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA cuts RTX 50-series consumer Blackwell production 30-40%",
      "source": "https://www.gpunex.com/blog/gpu-shortage-hbm-crisis-2026/ — RTX 50 cut 30-40%",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.gpunex.com/blog/gpu-shortage-hbm-crisis-2026/",
      "expected_date": "2026-06-30",
      "research_origin": "deep_research",
      "measurement_criterion": "NVIDIA
... (truncated)