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.

#249 / 683

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?

27%

#206 / 683

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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