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State

AI Job Risk in Alabama

Alabama scores 52.9/100 for AI job risk, ranking #29 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.

52.9 /100
Medium Risk

Ranked #29 of 54 us states

52.9
Low risk High risk

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Rank

#29

around the middle

Total Workforce

2.2 M

jobs analysed

High-Risk Jobs

63 K

3% of workforce

Out of

54

us states

Most at Risk

Jobs in Alabama most likely to be automated or transformed by AI

1

Telemarketer

2.1 K employed

95
2

Data Entry Keyer

1.1 K employed

95
3

Transcriptionist

360 employed

92
4

Tax Preparer

500 employed

90
5

Customer Service Representative

35 K employed

90
6

Bookkeeper

20 K employed

90
7

Computer Programmer

1.9 K employed

88
8

Copywriter

190 employed

88
9

Translator

310 employed

86
10

Web Developer

1.1 K employed

85

Safest from AI

Jobs in Alabama least likely to be affected by AI

1

Tree Trimmer

1.1 K employed

8
2

Landscaper

11 K employed

10
3

Zookeeper

3.8 K employed

10
4

Park Ranger

60 employed

10
5

Roofer

740 employed

10
6

Lifeguard

710 employed

10
7

Glazier

420 employed

12
8

Tile Setter

530 employed

12
9

Pest Control Technician

2.5 K employed

12
10

Farm Worker

800 employed

12

What this means

The exposure score (52.9/100) measures how much of Alabama'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 Alabama, 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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