← Cockpit
CMQ_045predictionSemisCPU-TAM-expansion

Agentic AI will create additional CPU market space of $10B-$100B by 2030, potentially driving total global server CPU market well beyond $100B.

Predictor: Morgan Stanley

Prior probability
60.0%
Current probability
42.9%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
pending
Window
2026-01-01 – 2026-12-31
Edges in / out
3 / 0
Tickers exposed
0

Prediction text

Agentic AI will create additional CPU market space of $10B-$100B by 2030, potentially driving total global server CPU market well beyond $100B. | Server CPU market size + Intel/AMD re-rating

Key catalyst: Server CPU market size + Intel/AMD re-rating

Watch events: Intel/AMD server-CPU quarterly revenue; ARM-based server CPU share.

Resolution evidence

Status: pending

Server CPU market currently ~$45-55B/yr; doubling by 2030 consistent with hyperscaler agentic-rack deployments.

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

4 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-05-022026-06-01
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 42.9%

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: 2 fired ✓ · 2 overdue ⏱ · 1 pending
  1. 2026-03-13overdueQ1 window check-in (25%)
  2. 2026-03-31hitServer CPU shortage forces Intel/AMD price hikes Q1 2026
    How: Intel and AMD both raise data center CPU prices by end of Q1 2026, citing agentic AI demand
    Source: TrendForce / Tom's Hardware Q1 2026 reportingconf 95%
  3. 2026-04-22hitMorgan Stanley publishes $32.5-60B incremental CPU TAM forecast
    How: Morgan Stanley research note publishes $32.5-60B incremental data center CPU TAM by 2030 driven by agentic AI
    Source: Morgan Stanley research / ANI News / Daily Hunt coverage Apr 2026conf 99%
    Notes: HIT — MS published the $32.5-60B figure (within CMQ_045's $10B-$100B range). Total server CPU TAM forecast >$100B confirmed.
  4. 2026-05-24overdueQ2 window check-in (50%)
  5. 2026-08-03pendingQ3 window check-in (75%)
  6. 2026-07-01 → 2027-06-30pendingAMD Venice CPU platform launches with chiplet-based architecture
    How: AMD launches Venice EPYC server CPU platform commercially available to hyperscalers
    Source: AMD product roadmap / TrendForceconf 85%
  7. 2027-01-01 → 2028-12-31pendingCPU-to-GPU ratio shifts toward 1:1 in agentic AI deployments
    How: Industry reports (Arm, hyperscalers) confirm CPU-to-GPU deployment ratio in agentic AI clusters reaches 1:2 or tighter (vs current 1:8+)
    Source: Arm / Trendforce CPU-GPU ratio researchconf 65%
  8. 2028-01-01 → 2030-12-31pendingTotal global server CPU market exceeds $100B annual run-rate
    How: IDC or Gartner reports global server CPU market revenue ≥$100B annual run-rate in any quarter
    Source: IDC Server Tracker, Gartner forecastsconf 60%

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
metadata_milestone_miss_sweep2026-06-01T22:11:01Z42.9%-6.4pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.429 blend=0.429 LLR=-0.257 κ=0.63 no_blend
Raw metadata
{
  "trf": 0.5826255001251527,
  "kappa": 0.6333,
  "base_rate": null,
  "predictor": "Morgan Stanley",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.02871305240454402,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.4928222300284392,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6333,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2567810529649005,
      "expected_date": "2026-05-24",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.592162149912393,
  "outside_weight": 0.407837850087607,
  "posterior_prob": 0.4291073407850236,
  "posterior_logit": -0.28549410536944453,
  "predictor_brier": 0.0442,
  "inside_posterior": 0.4291073407850236,
  "blended_posterior": 0.4291073407850236,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2567810529649005,
  "predictor_n_resolved": 2
}
metadata_milestone_miss_sweep2026-05-02T22:07:21Z49.3%-5.9pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.493 blend=0.493 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": 0.20779474515494814,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5517625670137282,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "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": "2026-03-13",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5344649524623397,
  "outside_weight": 0.4655350475376603,
  "posterior_prob": 0.4928222300284392,
  "posterior_logit": -0.028713052404544165,
  "predictor_brier": 0.01,
  "inside_posterior": 0.4928222300284392,
  "blended_posterior": 0.4928222300284392,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2365077975594923,
  "predictor_n_resolved": 1
}
LBP2026-04-30T16:39:51Z55.2%-1.7pp
Network propagation: 56.8% → 55.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z56.8%-3.2pp
Network propagation: 60.0% → 56.8%
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
killerTK15
SpaceX Starship Catastrophic Failure
12.0%0.0500.600+0.105

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_COMPUTE_100GW_2030Compute: 100GW national-scale by Dec 2030compute_scale
correlateS_HUMANOID_CONSUMER_2030Humanoid R3: 1M+ consumer by Nov 2030humanoid_deployment
killerTK15SpaceX Starship Catastrophic Failure

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (6)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.694manifoldWill combined 2026 AI capex from {AWS, Azure, GCP, Meta, Oracle} exceed $300B?83%mentionspending2026-05-04
0.660arxivOptimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Leanmentionspending2026-06-03
0.614manifoldWill Intel stock trade above $90 in May, 2026?63%mentionspending2026-04-23
0.601manifoldWill Intel trade below $94 in May?13%mentionspending2026-05-04
0.598manifoldIf we automate every FIFA World Cup market and resolution, how many traders will @ManifoldSports have by the end?mentionspending2026-05-13
0.564polymarketWill Valve add Cache to the Map Pool by April 30, 2026?1%mentionspending2026-02-27

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "+$10-100B CPU TAM",
  "mode": "FORECAST",
  "role": "Cited-Firm",
  "context": "TAM upgrade is a major re-rating catalyst for Intel, AMD, and ARM-based server CPUs.",
  "to_year": 2030,
  "cited_by": "Synthesis report",
  "conv_cues": "TAM expansion; MS research",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "by 2030",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2026-03-13",
      "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": "Server CPU shortage forces Intel/AMD price hikes Q1 2026",
      "source": "TrendForce / Tom's Hardware Q1 2026 reporting",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.tomshardware.com/pc-components/cpus/shifting-need-for-cpus-in-ai-workloads-drives-intensifying-shortages-price-hikes",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Intel and AMD both raise data center CPU prices by end of Q1 2026, citing agentic AI demand"
    },
    {
      "kind": "llm_pre_event",
      "label": "Morgan Stanley publishes $32.5-60B incremental CPU TAM forecast",
      "notes": "HIT — MS published the $32.5-60B figure (within CMQ_045's $10B-$100B range). Total server CPU TAM forecast >$100B confirmed.",
      "source": "Morgan Stanley research / ANI News / Daily Hunt coverage Apr 2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.newkerala.com/news/a/morgan-stanley-agentic-ai-shifts-value-from-gpus-161.htm",
      "expected_date": "2026-04-22",
      "observed_date": "2026-04-22",
      "research_origin": "deep_research",
      "measurement_criterion": "Morgan Stanley research note publishes $32.5-60B incremental data center CPU TAM by 2030 driven by agentic AI"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2026-05-24",
      "observed_date": null,
      "miss_emitted_at": "2026-06-01T22:11:01.071264+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2026-08-03",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "Agentic AI will create additional CPU market space of $10B-$100B by 2030, potentially driving total global server CPU market well beyond $10",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "CMQ_045",
      "expected_date": "2026-10-14",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "AMD Venice CPU platform launches with chiplet-based architecture",
      "source": "AMD product roadmap / TrendForce",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.trendforce.com/research/download/RP260408AD",
      "expected_date": "2026-12-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-07-01"
      },
      "measurement_criterion": "AMD launches Venice EPYC server CPU platform commercially available to hyperscalers"
    },
    {
      "kind": "llm_post_event",
... (truncated)