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?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation 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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635