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?

25%

AI can already do 25% of this job.

#234 / 623

Robotics engineer

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. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Cell, grippers and the cycle that will not close. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Safety, fencing and CE validation. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Maintenance, backups and the overwritten program. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Production, takt and the robot that stops. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it takes nobody with it, and signing the cell. Estimate No 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

IS WORK OVER?

18%

#571 / 623

Lighting technician

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
Plot and programming Estimate No public source provides a precise figure. This is our estimate.	25%	35%	+8.8
Rig and focus Estimate No public source provides a precise figure. This is our estimate.	50%	12%	+6
The show Estimate No public source provides a precise figure. This is our estimate.	15%	15%	+2.3
Incidents Estimate No public source provides a precise figure. This is our estimate.	10%	12%	+1.2
Total	100%		18%

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