Data vs Engineering
How does Data compare to Engineering on AI displacement risk? Data averages 28.6/100 (median 27.8, mode 29) across 40 assessed roles, while Engineering averages 46.0/100 (median 48.1, mode 48) across 194 roles. Explore the zone distributions, specialisms, and individual roles below.
Data
28.6
/100
Mean28.6
Median27.8
Mode29
40 roles assessed
2
24
14
Green 2
Yellow 24
Red 14
Specialisms
| Specialism | Avg Score | Roles |
|---|---|---|
| Data Engineering | 31.5 | 18 |
| Data Science & Analytics | 26.5 | 25 |
Safest Roles
Most At-Risk Roles
Engineering
46.0
/100
Mean46.0
Median48.1
Mode48
194 roles assessed
98
86
10
Green 98
Yellow 86
Red 10
Specialisms
| Specialism | Avg Score | Roles |
|---|---|---|
| Electrical & Electronics Engineering | 50.3 | 34 |
| Biomedical Engineering | 50.0 | 10 |
| Aerospace Engineering | 49.8 | 28 |
| Civil Engineering | 49.7 | 35 |
| Chemical Engineering | 48.1 | 16 |
| Environmental Engineering | 47.6 | 17 |
| Engineering Management | 45.9 | 10 |
| Mechanical Engineering | 45.8 | 37 |
| Industrial Engineering | 40.9 | 17 |
| Architecture | 40.7 | 13 |
| Engineering Technicians | 37.4 | 37 |
Safest Roles
Frequently Asked Questions
Which domain is safer from AI — Data or Engineering?
Engineering averages 46.0/100 across 194 roles, while Data averages 28.6/100 across 40 roles — a 17.4-point gap. Engineering has more roles in the Green Zone, making it the safer domain overall.
How many roles are in Data vs Engineering?
Data covers 40 assessed roles and Engineering covers 194 roles. Each role is individually scored on the AI Job Resistance Index across five dimensions including Task Resistance, Evidence, Barriers, Protective Principles, and AI Growth Correlation.
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