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State

AI Job Risk in Illinois

Illinois scores 53.1/100 for AI job risk, ranking #27 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.

53.1 /100
Medium Risk

Ranked #27 of 54 us states

53.1
Low risk High risk

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Rank

#27

around the middle

Total Workforce

6.5 M

jobs analysed

High-Risk Jobs

180 K

3% of workforce

Out of

54

us states

Most at Risk

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

1

Telemarketer

3 K employed

95
2

Data Entry Keyer

7.8 K employed

95
3

Transcriptionist

2.7 K employed

92
4

Tax Preparer

1.3 K employed

90
5

Customer Service Representative

110 K employed

90
6

Bookkeeper

52 K employed

90
7

Proofreader

320 employed

88
8

Computer Programmer

1.7 K employed

88
9

Copywriter

2.4 K employed

88
10

Translator

1.4 K employed

86

Safest from AI

Jobs in Illinois least likely to be affected by AI

1

Tree Trimmer

430 employed

8
2

Landscaper

37 K employed

10
3

Lifeguard

6.9 K employed

10
4

Roofer

6.2 K employed

10
5

Zookeeper

11 K employed

10
6

Grounds Maintenance Worker

10
7

Glazier

12
8

Janitor

98 K employed

12
9

Farm Worker

2 K employed

12
10

Pest Control Technician

2.2 K employed

12

What this means

The exposure score (53.1/100) measures how much of Illinois'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 Illinois, 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 31% of occupation categories in this area

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