AI Job Risk US States Virgin Islands
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State

AI Job Risk in Virgin Islands

Virgin Islands scores 49.8/100 for AI job risk, ranking #49 out of 54 us states. That puts it in the bottom third for AI exposure β€” the local economy has relatively fewer jobs in AI-vulnerable occupations compared to other areas.

49.8 /100
Very Low Risk

Ranked #49 of 54 us states

49.8
Low risk High risk

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Rank

#49

less exposed than most

Total Workforce

30 K

jobs analysed

High-Risk Jobs

1.9 K

6% of workforce

Out of

54

us states

Most at Risk

Jobs in Virgin Islands most likely to be automated or transformed by AI

1

Data Entry Keyer

70 employed

95
2

Customer Service Representative

290 employed

90
3

Bookkeeper

300 employed

90
4

Bank Teller

130 employed

85
5

Software Developer

30 employed

85
6

Paralegal

80 employed

82
7

Bill Collector

50 employed

82
8

Legal Secretary

50 employed

82
9

Cashier

880 employed

80
10

Loan Officer

50 employed

80

Safest from AI

Jobs in Virgin Islands least likely to be affected by AI

1

Lifeguard

30 employed

10
2

Landscaper

210 employed

10
3

Roofer

40 employed

10
4

Zookeeper

60 employed

10
5

Farm Worker

30 employed

12
6

Pest Control Technician

40 employed

12
7

Janitor

770 employed

12
8

Bricklayer

40 employed

15
9

Housekeeper

460 employed

15
10

Solar Panel Installer

15

What this means

The exposure score (49.8/100) measures how much of Virgin Islands's workforce is in jobs that AI can automate or significantly change. It's not a prediction that jobs will disappear β€” it's a measure of how exposed the local economy is to AI-driven change.

How it works: We score 289 occupations from 0 (AI has little impact) to 100 (AI can do most of the job) using 10 research sources. We then match these scores to real employment data for Virgin Islands, weighting by how many people actually work in each role.

High-risk jobs (score 60+) include roles like customer service, data entry, and bookkeeping where AI can already handle most tasks. Low-risk jobs (score under 30) include trades, healthcare, and social work where physical presence or human judgement is essential.

Full methodology · Data covers 52% of occupation categories in this area

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