Automation index
How much of a Criminologist’s job can AI already do?
A crime map comes earlier. Understanding why it happens there, and what to do with the repeat offender, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Criminologist
29%
AI can already do 29% of this job.
#57 / 733
View rankingCriminologist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Data, maps and the victimisation report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Profiles, reoffending and programme evaluation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, interviews and what the spreadsheet misses.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Police, judges and the measure under debate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Prevention, the neighbourhood and the programme that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The opinion, and not selling magic recipes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- crime maps
- study reoffending
- victimisation
- evaluate programmes
- situational prevention
- criminological profiles
- reports for judges
- fieldwork
Sources for this job· O*NET 19-3041.00· ESCO/ISCO 2632
IS WORK OVER?
Traffic engineer
27%
#178 / 733
View rankingTraffic engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Counts, the model and the microsim.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Junction, the timings and the pedestrian.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Works, the diversion and not choking the neighbourhood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the councillor and not painting the miracle lane.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The crash, the figure and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That the junction does not kill, and not painting extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- microsims
- counts
- junction timings
- pedestrians
- diversions
- councillors
- crashes
- lanes
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142