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Country

AI Job Risk in Lithuania

Lithuania scores 47.7/100 for AI job risk, ranking #22 out of 34 european countries. That puts it in the bottom third for AI exposure — the local economy has relatively fewer jobs in AI-vulnerable occupations compared to other areas.

47.7 /100
Low Risk

Ranked #22 of 34 european countries

47.7
Low risk High risk

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Rank

#22

less exposed than most

Total Workforce

1.4 M

jobs analysed

High-Risk Jobs

750 K

52% of workforce

Out of

34

european countries

Most at Risk

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

1

OC4

61 K employed

80
2

OC2

420 K employed

65
3

OC3

140 K employed

62
4

OC1

130 K employed

60
5

OC5

170 K employed

40
6

OC8

130 K employed

38
7

OC9

150 K employed

25
8

OC7

190 K employed

20
9

OC6

37 K employed

12

Safest from AI

Jobs in Lithuania least likely to be affected by AI

1

OC6

37 K employed

12
2

OC7

190 K employed

20
3

OC9

150 K employed

25
4

OC8

130 K employed

38
5

OC5

170 K employed

40
6

OC1

130 K employed

60
7

OC3

140 K employed

62
8

OC2

420 K employed

65
9

OC4

61 K employed

80

What this means

The exposure score (47.7/100) measures how much of Lithuania's workforce is in jobs that AI can automate or significantly change. It's not a prediction that jobs will disappear — 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 Lithuania, 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 100% of occupation categories in this area

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