Will AI generated content storage requirements exceed human generated content storage on major cloud providers by 2029? | Crene

Back to thesis map Part ofWill AI generated content exceed human generated content on the US internet before 2030?

Current eventInfrastructure & generation cost

Will AI generated content storage requirements exceed human generated content storage on major cloud providers by 2029?

LiveResolves Dec 31, 2029

Current view

57%

Current 4 model consensus

Movement

Recent consensus movement

Model disagreement

60pt

Range across the model set

Evidence

Diverging

The evidence is sharply disputed

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

60pt model spread around 57% consensus. Open the full disagreement instrument only when you need the model-level reasoning.

Model disagreement

Model spread

60pt

18% to 78%

Consensus

57%

4 models

Evidence state

Diverging

Models sharply disagree

Most divergent

Claude

-39pt from consensus

Disagreement synthesis

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

Claude anchors the lower end at 18%, while GPT-4o anchors the upper end at 78%. Consensus sits at 57%, leaving a 60 point range for review.

Primary review question

Not specified

Shared probability axis

Range 18% to 78%

Consensus 57%

Claude 18

Grok 62

Gemini 70

GPT-4o 78

0255075100

ModelForecastVs consensusDivergenceReasoning signal

Model reasoning

Select a model to inspect

Reasoning

# Analysis: AI-Generated Content Storage vs. Human-Generated Content Storage by 2029 ## Current State Assessment (as of July 2026) Let me establish baseline conditions: - Human-generated content has dominated cloud storage for decades (emails, photos, videos, documents) - AI-generated content is growing rapidly but from a much smaller base - Major cloud providers (AWS, Azure, Google Cloud) still report human-generated content as the dominant storage category - My training data extends through

Key uncertainty

Not specified

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 57% · 60pt 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

Record ID

CRENE-AICD-IC04

Record policy

Append only

Freeze cadence

Thursdays

Generated

Jul 8, 2026

Back to thesis map Part ofWill AI generated content exceed human generated content on the US internet before 2030?

Current eventInfrastructure & generation cost

Will AI generated content storage requirements exceed human generated content storage on major cloud providers by 2029?

LiveResolves Dec 31, 2029

Current view

57%

Current 4 model consensus

Movement

Recent consensus movement

Model disagreement

60pt

Range across the model set

Evidence

Diverging

The evidence is sharply disputed

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

60pt model spread around 57% consensus. Open the full disagreement instrument only when you need the model-level reasoning.

Model disagreement

Model spread

60pt

18% to 78%

Consensus

57%

4 models

Evidence state

Diverging

Models sharply disagree

Most divergent

Claude

-39pt from consensus

Disagreement synthesis

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

Claude anchors the lower end at 18%, while GPT-4o anchors the upper end at 78%. Consensus sits at 57%, leaving a 60 point range for review.

Primary review question

Not specified

Shared probability axis

Range 18% to 78%

Consensus 57%

Claude 18

Grok 62

Gemini 70

GPT-4o 78

0255075100

ModelForecastVs consensusDivergenceReasoning signal

Model reasoning

Select a model to inspect

Reasoning

Key uncertainty

Not specified

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 57% · 60pt 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

Record ID

CRENE-AICD-IC04

Record policy

Append only

Freeze cadence

Thursdays

Generated

Jul 8, 2026