Automation index

How much of a Production engineer’s job can AI already do?

An OEE and a sequencer come earlier. Getting the shift out without stopping the line for nothing 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.

#233 / 633

Production 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
OEE, sequence and the shift plan. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Line, changeovers and the micro-stop. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Layout, times and the work standard. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supervisors, unions and the shift that turns. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
In-line quality and the batch that cannot ship. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Hit the plan, and not dressing the OEE. 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?

22%

#327 / 633

Hotel concierge

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
Bookings, maps and recommendations. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Desk, bags and difficult guests. Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Restaurants, tickets and transport. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Logs, shifts and front-desk coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Neighbourhood, vendors and errands. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not leaving a guest stranded at two in the morning. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		22%

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