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?

31%

#33 / 633

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

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