AI Opportunity Index

12-Model Comparison Dashboard | November 2025

Kevin Selhi

ChatGPT 5

ChatGPT 5-1

ChatGPT 5-1 Codex

o3pro

Perplexity

You.com ARI

Claude Sonnet 4.5

Claude Opus 4.5

Claude 4.5 Opus CLI

Claude 4.5 Opus Agents

Gemini 2.5 Pro

Gemini 3.0 Pro

All models had Deep Research or Extended Thinking enabled

Overview

Model Comparison

Artifact Deep Dive

Variance Analysis

Models Compared

Industries Reviewed

Artifacts Analyzed

Potential AI Savings

Automation Opportunity by Industry

Bubble size = Market Size. Industries in the upper-right have many artifacts with high automation feasibility. Larger bubbles = bigger market opportunity.

← Lower Feasibility (High Variance) Higher Feasibility (Low Variance) →

Industry	Current Feasibility	Market Size	Quick Win

Reading the Matrix:
• Bubble size = Market size (larger = bigger opportunity)
• X-axis = Automation feasibility (how standardized the work is)
• Y-axis = Number of artifacts in this industry
• Current Feasibility = How ready an industry is for automation today (based on model agreement)

📊 Two Different Lenses: The bubble chart above shows where industries fall on automation feasibility (x-axis) vs. artifact count (y-axis), with bubble size indicating market opportunity. The cards below rank industries by overall disruption potential using a weighted score (70% model agreement + 30% coverage). An industry may appear "High" in one view but not the other—this reflects different strategic questions: where can we automate now vs. where is disruption most likely.

AI Disruption Readiness by Industry

Showing 6 of 18 industries

Detailed breakdown of automation potential per industry with specific artifact targets and projected savings.

Top Artifact Value by Model

Valuation Approach Distribution

Model Methodology Comparison

Model	Valuation Approach	Top Artifact	Top Value

Artifact Valuations Across Models (Log Scale)

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Highest-Value Sectors (Avg. Across Models)

Top 10 sectors by average artifact valuation

Model Agreement Zones

Artifacts where models converge:

Industry Agreement Zones

Industries with strongest cross-model consensus:

High Controversy Zones

Artifacts with largest model disagreement:

Model Characteristics & Behavioral Analysis

Quantitative analysis of each model's artifact selection and valuation behavior compared to the ensemble.

Scoring Methodology

Coverage Score: % of high-confidence artifacts (≥4 models) this model included. Measures comprehensiveness.

Uniqueness Score: % of this model's artifacts not valued by others. Measures distinctive perspective (higher = more unique viewpoint).

Valuation Alignment: Median % difference from ensemble mean on shared artifacts. Lower = closer alignment with consensus.

Interpretation: High coverage + low uniqueness + low deviation = comprehensive consensus-seeker. Low coverage + high uniqueness = specialized/distinctive. High deviation = systematically different valuation methodology.

Top Artifacts by Model

Show:

Select a model to view its highest-valued artifacts with cross-model comparison bars.

ChatGPT 5

Showing top 25 artifacts ranked by ChatGPT 5's valuations

#	Artifact	Sector	Selected Model	Cross-Model Comparison
⏳ Loading top artifacts...

Sort:

Showing all artifacts

Strongest Model Consensus

These artifacts show the highest agreement across multiple AI models, indicating reliable valuation benchmarks.

Artifact	Models	Consensus Range	Variance	Consensus Cluster

Consensus by Sector

What Consensus Means

Low Variance (<3x): Models agree on methodology and scope. These valuations are most reliable for benchmarking.

Multi-Model Coverage: Artifacts valued by 4+ models have been cross-validated across different AI approaches.

Consensus Cluster: The price range where most models converge, representing the market's "center of gravity."

Tip: Select an artifact above to see detailed model-by-model comparisons.

Highest Variance: Value Range Comparison

Outlier Analysis

Exclude extreme model valuations (>2σ from mean) to see consensus-adjusted variance

Exclude Outliers

Highest Variance Artifacts

Artifact	Tier	Models	Variance	Range (Low → High)	Mean	Median	Std Dev	Explanation

Model Agreement Heatmap Darker = higher agreement (valuations within 50% of each other)

Low (0-20%)

Medium (20-50%)

High (50-80%)

Very High (80%+)

Click any cell in the heatmap or use this button to compare models in detail

AI Opportunity Index

Scoring Methodology

Value Distribution

Model Pair Comparison