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.

Barista

Loaded from database

5.0

ENDANGERED(0–19)

Hospitality & Food

Low Income

Summary

The Barista role faces significant AI displacement risk due to the routinization of drink preparation and ordering processes. While customer interaction provides some human preference, the core tasks are increasingly automatable, making it vulnerable to AI-driven machines and order systems.

Future Outlook

Over the next decade, baristas will likely see a shift towards more customer-centric roles, focusing on complex drink creation, personalized service, and problem-solving, rather than routine order fulfillment. Automated machines will handle basic drinks, but human baristas will remain for premium experiences and social interaction.

Barista

Pillar Scores

Human Cognitive Moat

13.7 / 35

Social & Institutional Moat

5.6 / 28

Physical Reality Moat

12.9 / 21

Economic & Demand Moat

6.8 / 21

AI Exposure Risk

-28.0 / 35

Score Comparison

Sector Comparison: Hospitality & Food

No data available

0255075100

This Career

5.0

Global Comparison

No data available

0255075100

This Career

5.0

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

13.7

/ 35

Moat Strength39%

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

Social & Institutional Moat

Moat Strength

5.6

/ 28

Moat Strength20%

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

Physical Reality Moat

Moat Strength

12.9

/ 21

Moat Strength61%

Solid moat — meaningful barriers to AI substitution are present here.

Economic & Demand Moat

Moat Strength

6.8

/ 21

Moat Strength32%

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

AI Exposure Risk

Penalty

-28.0

/ 35

AI Exposure Level80%

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

Personalized customer interactions and social connection.
Sensory integration for subtle adjustments in drink preparation.
Quick problem-solving for unique customer requests or equipment issues.

Key Vulnerabilities

High task routineness in drink preparation and order taking.
Increasing availability of robotic coffee makers and automated ordering systems.
Low barrier to entry and limited specialized knowledge offers little protection.

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 "Barista"

Human Cognitive Moat

Raw: 25.5 / 65 × (13.7/35)

(1×3.0 + 2×2.5 + 2×2.5 + 3×2.5 + 2×2.5) × (35/65) = 13.7

Social Institutional Moat

Raw: 12.0 / 60 × (5.6/28)

(1×3.0 + 1×2.5 + 1×2.5 + 1×2.0 + 1×2.0) × (28/60) = 5.6

Physical Reality Moat

Raw: 38.5 / 62.5 × (12.9/21)

(3×3.0 + 4×3.0 + 3×2.5 + 2×2.0 + 3×2.0) × (21/62.5) = 12.9

Economic Demand Moat

Raw: 21.0 / 65 × (6.8/21)

(2×3.0 + 1×2.5 + 1×2.5 + 1×2.5 + 3×2.5) × (21/65) = 6.8

Ai Exposure Risk

Raw: 84.0 / 105 × (-28.0/35)

(4×4.0 + 4×4.0 + 4×3.5 + 4×3.5 + 5×3.0 + 3×3.0) × (35/105) = -28.0

Total Score Calculation

Base Score = 11.0

Conditional Modifiers Applied:

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

Final Score = 11.0 + modifiers = 5.0

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.