Automation index

How much of a Police officer’s job can AI already do?

Filing a report and searching records already speeds up. Stopping someone, reading a street, and firing or not is not a model.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

17%

AI can already do 17% of this job.

#607 / 643

Police officer

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
Write reports, complaints and duty logs. Estimate No public source provides a precise figure. This is our estimate.	18%	35%	+6.3
Search records, cameras and internal databases. Estimate No public source provides a precise figure. This is our estimate.	14%	30%	+4.2
Patrol, presence and deterrence on the street. Estimate No public source provides a precise figure. This is our estimate.	18%	8%	+1.4
Arrests, ID checks and use of force. Estimate No public source provides a precise figure. This is our estimate.	18%	6%	+1.1
Victim support and conflict mediation. Estimate No public source provides a precise figure. This is our estimate.	16%	10%	+1.6
Testify in court and coordinate with prosecutors. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		17%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

26%

#216 / 643

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low