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State

AI Job Risk in Nebraska

Nebraska scores 52.3/100 for AI job risk, ranking #35 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.

52.3 /100
Low Risk

Ranked #35 of 54 us states

52.3
Low risk High risk

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Rank

#35

around the middle

Total Workforce

1.1 M

jobs analysed

High-Risk Jobs

32 K

3% of workforce

Out of

54

us states

Most at Risk

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

1

Data Entry Keyer

830 employed

95
2

Telemarketer

910 employed

95
3

Transcriptionist

440 employed

92
4

Customer Service Representative

17 K employed

90
5

Tax Preparer

450 employed

90
6

Bookkeeper

11 K employed

90
7

Copywriter

160 employed

88
8

Computer Programmer

1.3 K employed

88
9

Proofreader

40 employed

88
10

Translator

680 employed

86

Safest from AI

Jobs in Nebraska least likely to be affected by AI

1

Tree Trimmer

380 employed

8
2

Lifeguard

720 employed

10
3

Zookeeper

2 K employed

10
4

Landscaper

6 K employed

10
5

Roofer

1.5 K employed

10
6

Massage Therapist

250 employed

12
7

Pest Control Technician

370 employed

12
8

Janitor

14 K employed

12
9

Glazier

320 employed

12
10

Farm Worker

280 employed

12

What this means

The exposure score (52.3/100) measures how much of Nebraska'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 Nebraska, 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 33% of occupation categories in this area

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