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?
Tram driver
19%
#487 / 633
View rankingTram driver
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 |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.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
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311