Simon Janssen
Simon Janssen· CTO at HappyNurse · UK AI Exposure Map 2026
Science & Engineering

IT User Support Technicians and AI

High exposureAI score 7/10 · Science & Engineering
7out of 10
JPE Score
Median salary
£32K
ASHE 2024
Forecast 2030
-10% to +5%
Employment
124K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
+27%
Forecast trend 2025-2030
stable
Part-time
6%
Female share
17%
Sector
Science & Engineering

Exposure scores

JPE (Practical Exposure)7/10 — High exposure
Employment growth 2021-2025 (ONS APS)+27%

AI exposure explained

What does an AI score of 7/10 mean?

Interpretation

High exposure — Many tasks in this occupation can be automated or AI-assisted. Adaptation is key.

High AI exposure changes the work of IT User Support Technicians substantially, but employment is expected to stay roughly stable. Where AI takes over routine tasks, the role shifts toward judgement, client contact and oversight.


Forecast 2030

What changes for IT User Support Technicians?

Expected employment change, 2025 to 2030
-10% to +5%
Midpoint 0% · Work changes strongly through AI, jobs remain
Basenational projection, without AI+4%
Base + AIJPE 7/10: −3.7%0%
Base + AI + roboticsno robotics effect before 20300%
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 -10% to +5% 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 →


Sector context

Science & Engineering and AI

IT User Support Technicians belongs to the Science & Engineering sector. This sector has an education level index of 3/4, indicating higher formal education requirements. Occupations in Science & Engineering with high AI exposure tend to see significant task restructuring as AI tools handle information-intensive work.


AI tools

Which AI tools are already making an impact?

GitHub CopilotChatGPTMATLAB CopilotAutoCAD AI

Career outlook

Deepen the human side

AI is changing parts of this work, but the jobs are expected to remain. Focus on the tasks where human judgement, relationships or creativity are central: those become more valuable. Combine that with strong AI skills.


Personal development

Personal development plan

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

Master AI pair programming

Developers using AI tools are 2-3x more productive

→ GitHub Copilot, Cursor
Learn prompt engineering for code

Directing AI effectively is a core dev skill now

→ Anthropic docs, OpenAI cookbook
Build AI-integrated apps

Every application will have an AI layer within 3 years

→ LangChain, Vercel AI SDK

Related occupations

Similar occupations on the map

Chemical Scientists
AI 6.5/10·+2% 2030
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Biological Scientists
AI 6/10·+3% 2030
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Civil Engineers
AI 6/10·+3% 2030
Science & Engineering
Chief Executives and Senior Officials
AI 5.5/10·+3% 2030
Management
Financial Managers and Directors
AI 7/10·+1% 2030
Management

International

This occupation in other countries

🇺🇸Computer User Support Specialists
AI 7/10Computer User Support Specialists
🇩🇪IT-Helpdesk und Support
AI 7/10IT Support Specialists
🇫🇷Techniciens informatiques
AI 7.5/10IT Technicians

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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