Automation index
How much of a Robotics engineer’s job can AI already do?
A path and a twin come earlier. Putting the robot on the line without taking anyone with it do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Robotics engineer
25%
AI can already do 25% of this job.
#234 / 633
View rankingRobotics 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 |
|---|---|---|---|
Paths, PLC and the cell twin.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Cell, grippers and the cycle that will not close.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Safety, fencing and CE validation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Maintenance, backups and the overwritten program.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, takt and the robot that stops.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it takes nobody with it, and signing the cell.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- program robots
- paths
- robot cells
- safety fencing
- cell PLC
- CE validation
- grippers
- takt
Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo 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
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324