Industrial Engineer
28AI USED FOR28%moving to73%
THE DOOR, NOWB
THE DOOR, 20 YRSD
STARTING PAY£28,000 - £35,000
NO MOATNo physical, legal or personal barrier protects this work from software.
CAREERMASH (EN)FROM ENGINEERING AND TECHNOLOGY →
Industrial Engineer
Industrial Engineers play a crucial role in enhancing productivity and efficiency across various industries, making them key players in the global quest for sustainable and optimized operations. In the UK, their expertise not only drives innovation in manufacturing but also contributes significantly to the nation's economic growth and competitiveness.
AI helps here, but has not taken over
AI can already do some of this job, but the day-to-day work still leans on a person to decide, check and take responsibility. Nothing formally protects this job though, so the safest move is to keep building the judgement AI cannot yet copy.
How this job changes over time
Our best estimates, shown as ranges and grades, not exact predictions.
| WHAT CHANGES | Now | 5 yrs | 10 yrs | 20 yrs |
|---|---|---|---|---|
| Tasks AI can do | 28% | 46% | 60% | 73% |
| Number of jobs | 95-105% | 85-100% | 65-90% | 40-75% |
| How hard to get in | B - achievable | C - hard | D - very hard | D - very hard |
| Job security | Weak | Weak | Weak | Gone |
Right now, AI can already do about 28% of the day-to-day work in this job, and by 20 years from now that could be around 73%. There are likely to be fewer of these jobs over time, very roughly 40-75% of the 2024 number, 20 years out. Getting your first job here is fairly easy today, and it looks set to get harder. This job has no special protection, so the trick is to keep building skills AI cannot copy.
What happens, and when
WITHIN 5 yrs
Weak
AI can already do about 46% of this job at this horizon, and the number of these roles is projected at roughly 85-100% of the 2024 total. Getting in is graded C - hard, and job security here is rated Weak.
WITHIN 10 yrs
Weak
AI can already do about 60% of this job at this horizon, and the number of these roles is projected at roughly 65-90% of the 2024 total. Getting in is graded D - very hard, and job security here is rated Weak.
WITHIN 20 yrs
Gone
AI can already do about 73% of this job at this horizon, and the number of these roles is projected at roughly 40-75% of the 2024 total. Getting in is graded D - very hard, and job security here is rated Gone.
The honest bottom line: There are likely to be fewer of these jobs over time, and the easy-to-automate version of the role is already shrinking. What lasts is the part AI still cannot do well: real judgement, trust, and skills built up across more than one area. Stay flexible, keep learning, and aim for the human end of the work.
How to aim for this career
1
Build skills AI cannot copy
When you start, AI will do most of the quick, routine work. So build the parts that stay human: good judgement, working well with people, and knowing one subject deeply.
2
Learn to work with AI tools
The people who do well will use these tools to get real results, not fear them. Start now: try AI tools on school projects and learn how to guide them to a good answer.
3
Aim for the deciding work
Aim for the part of a job where a person still decides what to make, checks the work, and owns the result. Keep your options open too, since the same skills suit nearby jobs that AI changes less.
Careers that use similar skills, and hold
Worth a look if you like the sound of this path. Each one has something this job does not: a moat.
Electro-Mechanical Technician4AI EXPOSURE · DOOR B - achievable NOW, C - hard IN 20 YRSAircraft Maintenance and Related Trades4AI EXPOSURE · DOOR B - achievable NOW, C - hard IN 20 YRSLift Technician19AI EXPOSURE · DOOR B - achievable NOW, C - hard IN 20 YRS
Sources: exposure figures from Anthropic labour market research (2026), observed real-world AI usage by occupation. Job-security forecast from OpenAI, "The AI Jobs Transition Framework" (Richmond, 2026, OpenAI Economic Research), CC BY 4.0. Grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions.