Automation index
How much of a Local police officer’s job can AI already do?
A ticket pad comes earlier. Getting to the fight without inflaming it do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Local police officer
19%
AI can already do 19% of this job.
#598 / 713
View rankingLocal police officer
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 |
|---|---|---|---|
Shift, the pad and the radar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Street, the fight and the one who is drunk.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Traffic, the crash and not covering the dead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Premises, closing time and the one who will not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The note, the court and not dressing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Get there, and not inflaming the fight.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- ticket pads
- street fights
- crashes
- closing time
- radar
- notes to court
- local shifts
- drink
Sources for this job· O*NET 33-3051.00· ESCO/ISCO 5412
IS WORK OVER?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351