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State

AI Job Risk in Maryland

Maryland scores 54.3/100 for AI job risk, ranking #11 out of 54 us states. That puts it in the top third for AI exposure β€” a relatively large share of local jobs are in occupations that AI can automate or significantly change.

54.3 /100
Very High Risk

Ranked #11 of 54 us states

54.3
Low risk High risk

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Rank

#11

more exposed than most

Total Workforce

2.9 M

jobs analysed

High-Risk Jobs

75 K

3% of workforce

Out of

54

us states

Most at Risk

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

1

Telemarketer

800 employed

95
2

Data Entry Keyer

2 K employed

95
3

Transcriptionist

400 employed

92
4

Tax Preparer

980 employed

90
5

Bookkeeper

22 K employed

90
6

Customer Service Representative

44 K employed

90
7

Copywriter

740 employed

88
8

Proofreader

120 employed

88
9

Computer Programmer

3 K employed

88
10

Translator

1.2 K employed

86

Safest from AI

Jobs in Maryland least likely to be affected by AI

1

Tree Trimmer

660 employed

8
2

Grounds Maintenance Worker

300 employed

10
3

Landscaper

17 K employed

10
4

Roofer

2.7 K employed

10
5

Lifeguard

2.7 K employed

10
6

Zookeeper

5.2 K employed

10
7

Concrete Finisher

3.2 K employed

12
8

Pest Control Technician

1.7 K employed

12
9

Tile Setter

220 employed

12
10

Massage Therapist

1.2 K employed

12

What this means

The exposure score (54.3/100) measures how much of Maryland'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 Maryland, 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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