AI & the Labour Market Β· United Kingdom

106 occupations. AI exposure. 2030 forecast.

Every major UK occupation scored on AI exposure using the JPE methodology. Career advice. Free. Open data. Same method as the NL, US, Germany and France map.

106occupations
17.7M+jobs covered
4.9avg. JPE
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UK Career Scan106 occupations
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US Career Scan106 occupations
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NL Career Scan103 occupations
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FR Career ScanFrance
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AI Readiness ScanTeams & organisations
AI Exposure Map Β· United Kingdom

106 UK occupations at a glance

Tile size represents employment. The larger the tile, the more people affected. Click an occupation for a detailed analysis.

Sources: ONS ASHE 2024 Β· ONS Labour Force Survey Β· SOC 2020 Β· CC BY 4.0

17.7MJobs covered
4.9Avg. AI score
28%Score β‰₯ 7
106Occupations
Β£35KAvg. salary
Colour:
Low 0–3
Moderate 4–6
High 7–8
Very high 9–10
Area = jobs

Click a tile to open the full analysis Β· hover for a preview

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What does AI mean for your occupation? Take the UK Career Scan and receive a personal report with 2030 forecast, career advice and development tips.

πŸ‡¬πŸ‡§ Take the UK Career ScanInsights and trends
Ranking

Gainers and decliners 2030

The ten occupations with the strongest projected decline β€” and the ten with the strongest growth.

Strongest decline

Strongest growth

Sectors

Explore by sector

106 occupations across 19 sectors. Sorted by average AI score.

Customer Service8(2)Administrative7.4(8)Business & Finance6.9(17)Science & Engineering6.9(11)Retail & Sales6(3)Management5.9(7)Education5.7(3)Media & Creative5.3(3)Healthcare4.6(11)Transport & Logistics3.9(5)Manufacturing3.9(4)Protective Services3.8(2)Skilled Trades3.3(3)Hospitality & Food3.3(4)Care & Social Work3.2(5)Elementary2.9(10)Agriculture & Skilled Trades2.8(2)Personal Services2.2(3)Construction2(3)
Research

Go deeper

Five countries comparedSame methodology, different labour markets. Dampening, AI pressure, structural factors.Patterns in the dataTop gainers and decliners, sector risk, the developer paradox, part-time analysis.Methodology (NL/general)JPE scoring rubric, forecast model, Felten AIOE validation (r = 0.87).US methodologyBLS SOC 2018, Felten AIOE normalisation, US-specific forecast parameters.Will AI take my job?The short answer, the nuanced answer, and what you should actually do.
International

Also available for NL, US, Germany and France

Same JPE methodology, different labour markets. Compare how AI lands differently across five countries.

πŸ‡³πŸ‡±Netherlands

103 occupations Β· 5.8M jobs

πŸ‡ΊπŸ‡ΈUnited States

106 occupations Β· 91M jobs

πŸ‡©πŸ‡ͺGermany

98 occupations Β· 45.9M jobs

πŸ‡«πŸ‡·France

100 occupations Β· 28M jobs

Full international comparison β†’
Open data

Download everything

All datasets free under CC BY 4.0. Download, embed, or access via API.

πŸ‡¬πŸ‡§ UK DatasetπŸ‡ΊπŸ‡Έ US DatasetπŸ‡³πŸ‡± NL DatasetπŸ‡©πŸ‡ͺ DE DatasetπŸ‡«πŸ‡· FR DatasetAPI endpoint

JPE = Janssen Practical Exposure. By Simon Janssen, CTO at HappyNurse.