AI Job Risk US States South Carolina
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State

AI Job Risk in South Carolina

South Carolina scores 52.6/100 for AI job risk, ranking #32 out of 54 us states. That puts it around the middle β€” a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.

52.6 /100
Medium Risk

Ranked #32 of 54 us states

52.6
Low risk High risk

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Rank

#32

around the middle

Total Workforce

2.4 M

jobs analysed

High-Risk Jobs

82 K

3% of workforce

Out of

54

us states

Most at Risk

Jobs in South Carolina most likely to be automated or transformed by AI

1

Telemarketer

680 employed

95
2

Data Entry Keyer

1.6 K employed

95
3

Transcriptionist

680 employed

92
4

Tax Preparer

1.2 K employed

90
5

Customer Service Representative

56 K employed

90
6

Bookkeeper

20 K employed

90
7

Copywriter

390 employed

88
8

Computer Programmer

1.2 K employed

88
9

Proofreader

100 employed

88
10

Translator

290 employed

86

Safest from AI

Jobs in South Carolina least likely to be affected by AI

1

Tree Trimmer

500 employed

8
2

Grounds Maintenance Worker

130 employed

10
3

Lifeguard

1.9 K employed

10
4

Roofer

970 employed

10
5

Landscaper

16 K employed

10
6

Zookeeper

5 K employed

10
7

Glazier

830 employed

12
8

Massage Therapist

1.4 K employed

12
9

Pest Control Technician

2.6 K employed

12
10

Janitor

30 K employed

12

What this means

The exposure score (52.6/100) measures how much of South Carolina'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 South Carolina, 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 32% of occupation categories in this area

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