AI Career Moat Score

Discover how resistant your career is to AI displacement. Score any career across 26 factors and 5 pillars.

315 careers scored so far · updated continuously

Recently Scored Careers

Systems Analyst

(Computer Systems Analyst)

15.3
ENDANGERED(0–19)
Technology · High Income
Human Cognitive22.3
Social & Institutional11.0
Physical Reality6.0
Economic & Demand12.8
AI Exposure Risk-26.8

Systems analysts study how organizations use technology, identify requirements, and recommend or specify changes to systems and business processes. The role combines technical knowledge with stakeholder interviews, organizational context, and coordination across business and IT teams.

10/19/2026
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Florist

41.8
EXPOSED(40–59)
Creative & Design · Mid Income
Human Cognitive20.7
Social & Institutional5.6
Physical Reality15.6
Economic & Demand9.2
AI Exposure Risk-14.3

Florists select, arrange, and sell flowers and related products for everyday purchases, events, and ceremonies. AI can assist with design concepts, pricing, inventory forecasting, marketing, and order intake, but much of the work involves handling perishable materials, adapting arrangements to available stock, and delivering or installing them in physical settings. Displacement risk is moderate: online ordering platforms and automated design tools can reduce some sales and planning work, while standardized bouquets are easier to reproduce or source through centralized services. Bespoke design, local relationships, event execution, and customers’ preference for a human touch offer meaningful but not absolute protection.

10/7/2026
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Heavy Equipment Operator

50.2
EXPOSED(40–59)
Trades & Construction · Mid Income
Human Cognitive21.3
Social & Institutional12.6
Physical Reality17.3
Economic & Demand11.0
AI Exposure Risk-17.0

Heavy equipment operators run machines such as excavators, bulldozers, graders, and loaders on construction, mining, and infrastructure sites. The work depends on situational awareness, precise control, and coordination with crews amid changing ground conditions, weather, and nearby people or equipment—factors that make full automation difficult in many settings. AI and automation are more likely to change the work unevenly than eliminate it outright. Remote operation, machine guidance, and autonomous functions can reduce routine control tasks, especially on large, predictable sites, while human operators remain important for exceptions, safety oversight, and work in confined or variable environments. Demand will also vary with construction cycles and investment in infrastructure and mining.

10/7/2026
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Frequently Asked Questions

What is an AI Moat Score?

An AI Moat Score measures how resistant a career is to AI displacement. It evaluates jobs across 26 factors and 5 pillars to determine their vulnerability to automation.

How is the score calculated?

The score is calculated by analyzing 26 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.