Isle of Man Job Market

AIOE measures generative AI augmentation potential per role (Eloundou et al., 2023). Counts shown as number of enriched jobs (% of all active vacancies).

Automation Risk — Public Sector vs Private / Agency

Distribution of automation risk bands across employer types. Public sector = jobs classified as government/public authority. Private / Agency = direct hire and agency-placed roles.

Most In-Demand Skills

Based on 551 AI-enriched jobs. Click any skill to filter live vacancies.

Top Knowledge Areas in Demand

Most frequently required knowledge domains across active IOM vacancies, derived from our canonical knowledge taxonomy.

Regulatory Compliance277 (50%)

Client Service and Relationship Management252 (46%)

Administrative Procedures212 (38%)

Health and Safety Procedures185 (34%)

Reporting and Documentation183 (33%)

Data Analysis and Reporting171 (31%)

Business Administration159 (29%)

Office Administration140 (25%)

Customer Relationship Management122 (22%)

Team Leadership and Collaboration93 (17%)

Confidentiality and Data Protection91 (17%)

Compliance and Regulatory Frameworks86 (16%)

Accounting Principles84 (15%)

Financial Analysis and Reporting80 (15%)

Audit and Internal Controls76 (14%)

Task Automation Breakdown

Classification of individual tasks across AI-enriched vacancies: routine (automatable), augmented (AI-assisted human work), and human (resistant to automation). Based on O*NET task decomposition and GPT-4o analysis.

🤖 Routine — likely automatable1070 (23%)

⚡ Augmented — AI-assisted human work2251 (48%)

🧠 Human — automation-resistant1370 (29%)

Total tasks analysed: 4,691 across 551 enriched vacancies. Human and augmented tasks represent the automation-resilient portion of IOM's workforce profile.

O*NET Occupational Insights

320

Bright Outlook roles

of 551 enriched

🔥 Hot Technologies in Demand

Microsoft Access196Microsoft Outlook158SAP software152Microsoft Excel150Microsoft PowerPoint143Microsoft Word132Yardi software106Google Docs98Oracle PeopleSoft97Intuit QuickBooks77MEDITECH software77Adobe Acrobat58MySQL50Apache Kafka47Apache Maven47Microsoft Office software45Salesforce software44Microsoft ASP.NET44Transact-SQL43Microsoft PowerShell43

Technologies flagged as emerging / high-demand by O*NET across AI-enriched IOM vacancies.

AI Exposure by Occupational Group

Average AI exposure (AIOE) and automation risk across SOC2020 major occupational groups, derived from 551 AI-classified IOM vacancies.

Radar — AIOE & Risk by Occupation

Each axis = a SOC major group. Outer = higher exposure. Blue = AI exposure (AIOE), pink = automation risk.

Scatter — AIOE vs Automation Risk

Each dot = one enriched vacancy. Hover for job details. Dashed lines at 33 % and 66 % risk. Colour = employer type.

AI Capability vs Adoption

Top 8 occupational categories. Orange = observed adoption, blue = unexploited potential.

Bubble — All vacancies

SOC sub-major groups. X = AIOE, Y = risk, size = IOM vacancies.

High AIOE, Low Risk — AI augments, role is resilient

High AIOE, High Risk — highly exposed to AI disruption

Low AIOE, Low Risk — resilient, low AI exposure

Low AIOE, High Risk — mechanisation / physical risk

Bubble size = number of IOM vacancies in that occupational group. Based on 549 enriched jobs.

Bubble — Public sector

SOC sub-major groups, public sector employers only.

High AIOE, Low Risk — AI augments, role is resilient

High AIOE, High Risk — highly exposed to AI disruption

Low AIOE, Low Risk — resilient, low AI exposure

Low AIOE, High Risk — mechanisation / physical risk

Bubble size = number of IOM vacancies in that occupational group. Based on 45 enriched jobs.

Bubble — Direct hire & Agency

SOC sub-major groups, private employers and recruitment agencies.

High AIOE, Low Risk — AI augments, role is resilient

High AIOE, High Risk — highly exposed to AI disruption

Low AIOE, Low Risk — resilient, low AI exposure

Low AIOE, High Risk — mechanisation / physical risk

Bubble size = number of IOM vacancies in that occupational group. Based on 492 enriched jobs.

AI Capability & Deployment Research

Comparing theoretical AI capability with observed adoption rates across occupational categories, and the resulting deployment opportunity gaps.

AI Capability vs Observed AI Adoption — by Occupational Category

Top 8 categories. Stacked bars: orange = current observed AI adoption; blue = unexploited AI potential (capability − observed). Hover to see IOM vacancy count. Based on Eloundou et al. (GPTs are GPTs, 2023).

AI Deployment Opportunity Gap — by SOC Major Group

Difference between theoretical AI capability and observed adoption (capability − observed). Larger = more untapped AI potential. Dashed line at 50%. Averaged across research categories per SOC group.

IOM Vacancies by Occupational Category

Top 8 categories by vacancy count, mapped from SOC2020 major groups. SOC groups spanning multiple categories have their count distributed evenly.

UK SOC2020 Occupational Breakdown

Job counts by Standard Occupational Classification, based on 551 AI-classified vacancies.

Major Groups (1-digit SOC)

2 — Professional Occupations160

4 — Administrative and Secretarial Occupations101

3 — Associate Professional and Technical Occupations77

9 — Elementary Occupations56

5 — Skilled Trades Occupations52

1 — Managers, Directors and Senior Officials44

6 — Caring, Leisure and Other Service Occupations29

7 — Sales and Customer Service Occupations22

8 — Process, Plant and Machine Operatives10

Sub-Major Groups (2-digit SOC)

24 — Business, Media and Public Service Professionals134

41 — Administrative Occupations76

35 — Business and Public Service Associate Professionals51

92 — Elementary Administration and Service Occupations48

11 — Corporate Managers and Directors31

61 — Caring Personal Service Occupations28

54 — Textiles, Printing and Other Skilled Trades26

42 — Secretarial and Related Occupations25

71 — Sales Occupations18

31 — Science, Engineering and Technology Associate Professionals18

22 — Health Professionals17

52 — Skilled Metal, Electrical and Electronic Trades17

12 — Other Managers and Proprietors13

91 — Elementary Trades and Related Occupations8

82 — Transport and Mobile Machine Drivers and Operatives7

53 — Skilled Construction and Building Trades7

21 — Science, Research, Engineering and Technology Professionals7

32 — Health and Social Care Associate Professionals4

72 — Customer Service Occupations4

34 — Culture, Media and Sports Occupations3

81 — Process, Plant and Machine Operatives3

51 — Skilled Agricultural and Related Trades2

23 — Teaching and Educational Professionals2

33 — Protective Service Occupations1

62 — Leisure, Travel and Related Personal Service Occupations1

Unit Groups (4-digit SOC) — Top 30

4122

Book-keepers, payroll managers and wages clerks57

2421

Chartered and Certified Accountants54

2423

Management Consultants and Business Analysts42

5434

Chefs25

6145

Care workers and home carers15

4216

Receptionists14

7111

Sales and retail assistants14

1132

Marketing and Sales Directors14

2413

Solicitors13

9274

Bar staff13

3544

Finance and investment analysts and advisers11

4112

Customer Service Occupations11

9272

Event Stewards10

3538

Financial, insurance and investment analysts and advisers10

5223

Metal working production and maintenance fitters9

3132

IT user support technicians9

3545

Business and related associate professionals n.e.c.8

4217

Administrative assistants8

9233

Cleaners and domestics7

1131

Managers and directors in business and other services7

2231

Nurses7

3534

Finance and investment analysts and advisers6

6121

Nursery nurses and assistants6

1223

Restaurant and catering establishment managers and proprietors5

8211

Large goods vehicle drivers5

2211

Medical practitioners5

9120

Warehouse operatives5

2136

IT operations technicians4

9273

Waiters and waitresses4

5241

Electricians4

This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA. Occupational data (tasks, skills, knowledge, abilities, interests, career clusters, Bright Outlook designations, and hot technologies) is sourced from O*NET Online and used to enrich IOM job listings with AI-powered career intelligence.