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 / 633

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?

19%

#543 / 633

Occupational therapist

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
Reports, scales and intervention plans. Estimate No public source provides a precise figure. This is our estimate.	18%	35%	+6.3
Prescribe aids and adapt paperwork. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Practical session: dressing, cooking, mobility. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Home visit and the real environment. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Family, carer and clinical team. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Motivation when the patient gives up. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		19%

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