Simon Janssen
Simon Janssen· CTO at HappyNurse · UK AI Exposure Map 2026
Business & Finance

Clergy and AI

Low exposureAI score 2/10 · Business & Finance
2out of 10
JPE Score
Median salary
£29K
ASHE 2024
Forecast 2030
0% to +10%
Employment
45K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
-35%
Forecast trend 2025-2030
growth
Part-time
24%
Female share
27%
Sector
Business & Finance

Exposure scores

JPE (Practical Exposure)2/10 — Low exposure
Employment growth 2021-2025 (ONS APS)-35%

AI exposure explained

What does an AI score of 2/10 mean?

Interpretation

Low exposure — AI is unlikely to significantly change this occupation in the near term.

Clergy has low AI exposure, meaning most tasks require physical presence, interpersonal skills, or tacit knowledge that AI cannot automate in the near term.


Forecast 2030

What changes for Clergy?

Expected employment change, 2025 to 2030
0% to +10%
Midpoint +6% · Growth occupation: expected demand rises
Basenational projection, without AI+6%
Base + AIJPE 2/10: 0%+6%
Base + AI + roboticsno robotics effect before 2030+6%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupational group and adds AI and robotics as separate layers. The band of 0% to +10% matters more than the midpoint.

Sources: base DfE Labour market and skills projections 2020 to 2035 (Working Futures), baseline · jobs, part-time and female share: ONS Annual Population Survey (Nomis NM_218_1), 2025 · salary: ASHE 2024. Working Futures differentiates growth only at the level of 26 occupational sub-major groups; the AI and robotics layers refine per occupation.

Read the methodology →


Simon Janssen
The person behind this map

I build with AI. And I track what it does to work.

I'm Simon Janssen, CTO and management board member at HappyNurse. This map shows, occupation by occupation, what AI does to work, based on official labour-market data rather than hype. On LinkedIn I share what I see as a CTO: what AI is already taking over, what it isn't, and what that means for people.


Sector context

Business & Finance and AI

Clergy belongs to the Business & Finance sector. This sector has an education level index of 4/4, indicating higher formal education requirements. Occupations in Business & Finance with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPT

Career outlook

AI as an asset

This occupation is not directly threatened by AI. The smartest move is to learn the AI tools that strengthen your work: not because you have to, but because it makes you more productive and valuable.


Personal development

Personal development plan

Based on your sector (Business & Finance) and AI exposure level, here are three concrete steps to future-proof your career.

Master AI-powered financial modelling

Analysts using AI produce insights 5x faster

→ Excel Copilot, Tableau AI
Learn UK regulatory AI frameworks

FCA and PRA are developing AI-specific guidance

→ FCA AI guidance, UK AI Safety Institute
Build data storytelling skills

AI generates analysis; humans create the narrative

→ Storytelling with Data (Knaflic)

Related occupations

Similar occupations on the map

Data Analysts and Scientists
AI 8/10·-3% 2030
Business & Finance
Barristers and Judges
AI 6/10·+3% 2030
Business & Finance
Solicitors
AI 7.5/10·+1% 2030
Business & Finance
Physiotherapists
AI 3.5/10·+5% 2030
Healthcare
Midwives
AI 3.5/10·+5% 2030
Healthcare

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. Where shown, the Felten AIOE score is an academic reference. Job counts, growth 2021-2025, part-time and female share from the ONS Annual Population Survey (Nomis NM_218_1), SOC 2020; salaries from ASHE 2024 (an estimate where ASHE has no figure). The 2030 forecast (JPE-prognose v3) starts from the DfE Working Futures baseline and adds separate AI and robotics layers. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. All data CC BY 4.0.

Full methodology, sources and download →


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