Automation index
How much of a Interpreter’s job can AI already do?
A glossary and a prep pack come earlier. Speaking at the same time as the other person, in a room, does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Interpreter
24%
AI can already do 24% of this job.
#269 / 633
View rankingInterpreter
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 |
|---|---|---|---|
Prep glossaries, briefings and corpora.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Translate support documents for the event.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 35% | +5.6 |
Interpret simultaneous or consecutive in the room.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 12% | +2.9 |
Manage fatigue, booth and handover.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Ethics, confidentiality and live correction.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
Clients, credentials and specialism.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 18% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- translate texts
- interpret
- proofread translations
- Prep glossaries, briefings and corpora
- Manage fatigue, booth and handover
- Clients, credentials and specialism
- interprete
- interpretacion simultanea
Sources for this job· O*NET 27-3091.00· ESCO/ISCO 2643
IS WORK OVER?
Criminologist
29%
#57 / 633
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