What is an AI Moat Score?

An AI Moat Score measures how resistant a career is to AI displacement. It evaluates jobs across 21 factors and 5 pillars to determine their vulnerability to automation.

How is the score calculated?

The score is calculated by analyzing 21 factors across 5 pillars: Human Cognitive Moat, Social & Institutional Moat, Physical Reality Moat, Economic & Demand Moat, and AI Exposure Risk. Each factor is scored 1-5 and weighted based on importance.

What do the grade levels mean?

FORTRESS (80-100): Highly resistant to AI. RESILIENT (60-79): Moderately resistant. EXPOSED (40-59): Somewhat vulnerable. VULNERABLE (20-39): Highly vulnerable. ENDANGERED (0-19): Extremely vulnerable to AI displacement.

How accurate are the scores?

Scores are generated using AI analysis of career characteristics and are regularly validated against real-world automation trends. However, they should be used as guidance rather than absolute predictions.

Can I request a new career to be scored?

Yes! Simply enter any job title on the homepage to get it scored. The system will analyze it and provide a detailed breakdown.

Animation Assistant

Loaded from database

10.8

ENDANGERED(0–19)

Creative & Design

Low Income

Summary

Animation assistants perform essential, often repetitive support tasks in animation production. While foundational creative judgment is required, many of their tasks involve routine clean-up, in-betweening, and asset management, making them susceptible to automation.

Future Outlook

The role will likely evolve significantly, with AI tools handling more of the tedious and technical aspects. Assistants will need to upskill in AI-powered animation software and focus on more conceptual and artistic support to remain relevant, potentially shifting towards 'AI Animator Facilitator' roles.

Animation Assistant

Pillar Scores

Human Cognitive Moat

16.7 / 35

Social & Institutional Moat

7.7 / 28

Physical Reality Moat

8.2 / 21

Economic & Demand Moat

10.2 / 21

AI Exposure Risk

-26.0 / 35

Score Comparison

Sector Comparison: Creative & Design

No data available

0255075100

This Career

10.8

Global Comparison

No data available

0255075100

This Career

10.8

What This Means

This comparison shows how this career's AI Moat Score compares to others in its sector and across all careers. A higher score indicates greater resistance to AI displacement. Scores range from 0-100, with higher scores being better.

Human Cognitive Moat

Moat Strength

16.7

/ 35

Moat Strength48%

Moderate moat — some protection exists but AI advances could erode this over time.

Social & Institutional Moat

Moat Strength

7.7

/ 28

Moat Strength28%

Weak moat — limited protection from this pillar; other moats must compensate.

Physical Reality Moat

Moat Strength

8.2

/ 21

Moat Strength39%

Weak moat — limited protection from this pillar; other moats must compensate.

Economic & Demand Moat

Moat Strength

10.2

/ 21

Moat Strength49%

Moderate moat — some protection exists but AI advances could erode this over time.

AI Exposure Risk

Penalty

-26.0

/ 35

AI Exposure Level74%

High AI exposure — significant portions of this role are already being targeted by AI.

Conditional Modifiers Applied

High AI Penetration & Task Routineness

-6

AI Penetration (-4) ≤-4 AND Task Routineness (-4) ≤-4

Penalty applied to total score

These modifiers are applied based on specific factor combinations that significantly impact AI resistance.

Key Strengths

Requires understanding of visual storytelling and artistic nuances
Involves human-centric creative input and aesthetic judgment
Need for collaborative teamwork within animation pipelines

Key Vulnerabilities

High routineness of many technical tasks (e.g., in-betweening, clean-up)
Significant data availability for training generative AI models
AI's improving ability to generate and modify visual content

Adjacent Careers

Click any adjacent career to analyze it. If it already exists, you'll be taken to its detail page.

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How This Score Was Calculated

Pillar Score Formula

Pillar Score = (∑(Factor × Weight)) × (Normalization Factor)

Where factors are scored 1-5 (1=weakest, 5=strongest) for positive pillars, and -1 to -5 (-1=low exposure, -5=high exposure) for AI Exposure Risk.

Pillar Weights & Maximums

Pillar	Factors & Weights	Raw Max	Normalized Max
Human Cognitive	Judgment(3.0), Creative(2.5), Relational(2.5), HumanPref(2.5), Contextual(2.5)	65	35
Social & Institutional	Regulatory(3.0), Guild(2.5), Institutional(2.5), Proprietary(2.0), Trust(2.0)	60	28
Physical Reality	Dexterity(3.0), GeoTethering(3.0), Environment(2.5), Exertion(2.0), Sensory(2.0)	62.5	21
Economic & Demand	Demand(3.0), Training(2.5), EntryCost(2.5), Polymathy(2.5), Knowledge(2.5)	65	21
AI Exposure Risk	AIPenetration(4.0), TaskRoutine(4.0), Data(3.5), Output(3.5), Remote(3.0), Substitution(3.0)	105	-35

Actual Calculations for "Animation Assistant"

Human Cognitive Moat

Raw: 31.0 / 65 × (16.7/35)

(2×3.0 + 3×2.5 + 2×2.5 + 3×2.5 + 2×2.5) × (35/65) = 16.7

Social Institutional Moat

Raw: 16.5 / 60 × (7.7/28)

(1×3.0 + 2×2.5 + 1×2.5 + 2×2.0 + 1×2.0) × (28/60) = 7.7

Physical Reality Moat

Raw: 24.5 / 62.5 × (8.2/21)

(2×3.0 + 1×3.0 + 3×2.5 + 1×2.0 + 3×2.0) × (21/62.5) = 8.2

Economic Demand Moat

Raw: 31.5 / 65 × (10.2/21)

(3×3.0 + 2×2.5 + 2×2.5 + 2×2.5 + 3×2.5) × (21/65) = 10.2

Ai Exposure Risk

Raw: 78.0 / 105 × (-26.0/35)

(4×4.0 + 4×4.0 + 4×3.5 + 4×3.5 + 3×3.0 + 3×3.0) × (35/105) = -26.0

Total Score Calculation

Base Score = 16.8

Conditional Modifiers Applied:

AI Penetration (-4) ≤-4 AND Task Routineness (-4) ≤-4 → -6 points

Final Score = 16.8 + modifiers = 10.8

Note: Pillar scores are normalized to ensure the total score fits within the 0-100 range. The maximum possible score with all positive factors at 5 and all negative factors at -1 (minimal AI exposure) is approximately 100, placing it in the FORTRESS grade band.