24% | Will any major hyperscaler disclose AI workload GPU utilization below 60% in 2026 earnings commentary?

Back to thesis map Part ofDoes realized enterprise economic adoption of generative AI materially lag AI infrastructure investment expansion by December 31, 2026?

Current eventCapex & infrastructure

Will any major hyperscaler disclose AI workload GPU utilization below 60% in 2026 earnings commentary?

LiveResolves Dec 31, 2026

Current view

24%

Current 4 model consensus

Movement

Recent consensus movement

Model disagreement

3pt

Range across the model set

Evidence

Aligned

Models broadly agree on the evidence

Thesis map

What is carrying or resisting the view?

Start with the map. Select a mechanism or condition to see what supports the thesis, what resists it, and where disagreement deserves review.

What changed

No decision-relevant findings are available yet.

Review record

Weekly freezes, daily history, and the map version preserved with the record.

Why the view is fragile

3pt model spread around 24% consensus. Open the full disagreement instrument only when you need the model-level reasoning.

Model disagreement

Model spread

3pt

22% to 25%

Consensus

24%

4 models

Evidence state

Aligned

Models broadly agree

Most divergent

Grok

-2pt from consensus

Disagreement synthesis

The models share a central case but assign different weight to the evidence.

Grok anchors the lower end at 22%, while Claude anchors the upper end at 25%. Consensus sits at 24%, leaving a 3 point range for review.

Primary review question

Timing of next-generation GPU availability and resulting over-provisioning during the 2025-2026 transition period.

Shared probability axis

Range 22% to 25%

Consensus 24%

Grok 22

GPT-4o 25

Gemini 25

Claude 25

0255075100

ModelForecastVs consensusDivergenceReasoning signal

Model reasoning

Select a model to inspect

Reasoning

Hyperscalers have consistently reported 55-70% average GPU utilization in 2024-2025 earnings (Microsoft 60-65%, Google 58-62%, Meta 55-60%) while deploying 3-4x more capacity annually, but utilization typically rises 8-12 points within 12-18 months as workloads ramp; 2026 commentary would likely reflect 2025 deployments achieving 65%+ utilization by disclosure time.

Key uncertainty

Timing of next-generation GPU availability and resulting over-provisioning during the 2025-2026 transition period.

Deep dive

Full decomposition, component audit, trajectory, and detailed analytical views.

Deep dive

Detailed evidence, audit, and history views.

Open only what you need

Belief trajectoryConsensus 24% · 3pt spread

Belief trajectory0 updates

Belief trajectory

Consensus—

Spread—

Confidence—

Δ Consensus—

Loading belief trajectory…

Resolution & provenance

Resolution sources, record policy, cadence, and permanent record metadata.

Resolution and provenance

How the thesis resolves and how its record is maintained.

Permanent record

Resolution sources

Hyperscaler earnings calls 2026

Record ID

CRENE-AIER-C032-20261231

Record policy

Append only

Freeze cadence

Thursdays

Generated

Jun 8, 2026

Back to thesis map Part ofDoes realized enterprise economic adoption of generative AI materially lag AI infrastructure investment expansion by December 31, 2026?

Current eventCapex & infrastructure

Will any major hyperscaler disclose AI workload GPU utilization below 60% in 2026 earnings commentary?

LiveResolves Dec 31, 2026

Current view

24%

Current 4 model consensus

Movement

Recent consensus movement

Model disagreement

3pt

Range across the model set

Evidence

Aligned

Models broadly agree on the evidence

Thesis map

What is carrying or resisting the view?

Start with the map. Select a mechanism or condition to see what supports the thesis, what resists it, and where disagreement deserves review.

What changed

No decision-relevant findings are available yet.

Review record

Weekly freezes, daily history, and the map version preserved with the record.

Why the view is fragile

3pt model spread around 24% consensus. Open the full disagreement instrument only when you need the model-level reasoning.

Model disagreement

Model spread

3pt

22% to 25%

Consensus

24%

4 models

Evidence state

Aligned

Models broadly agree

Most divergent

Grok

-2pt from consensus

Disagreement synthesis

The models share a central case but assign different weight to the evidence.

Grok anchors the lower end at 22%, while Claude anchors the upper end at 25%. Consensus sits at 24%, leaving a 3 point range for review.

Primary review question

Timing of next-generation GPU availability and resulting over-provisioning during the 2025-2026 transition period.

Shared probability axis

Range 22% to 25%

Consensus 24%

Grok 22

GPT-4o 25

Gemini 25

Claude 25

0255075100

ModelForecastVs consensusDivergenceReasoning signal

Model reasoning

Select a model to inspect

Reasoning

Key uncertainty

Timing of next-generation GPU availability and resulting over-provisioning during the 2025-2026 transition period.

Deep dive

Full decomposition, component audit, trajectory, and detailed analytical views.

Deep dive

Detailed evidence, audit, and history views.

Open only what you need

Belief trajectoryConsensus 24% · 3pt spread

Belief trajectory0 updates

Belief trajectory

Consensus—

Spread—

Confidence—

Δ Consensus—

Loading belief trajectory…

Resolution & provenance

Resolution sources, record policy, cadence, and permanent record metadata.

Resolution and provenance

How the thesis resolves and how its record is maintained.

Permanent record

Resolution sources

Hyperscaler earnings calls 2026

Record ID

CRENE-AIER-C032-20261231

Record policy

Append only

Freeze cadence

Thursdays

Generated

Jun 8, 2026