Automation index

How much of a Parts clerk’s job can AI already do?

An OEM code comes earlier. Giving the part that fits, not the lookalike, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#114 / 623

Parts clerk

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
Catalogue, equivalents and the code. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Counter, the waiting shop and the doubt. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Stock, urgent orders and the one that is late. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Returns, warranties and the wrong part. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The mechanic, the blurry photo and not selling blind. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
The one that fits, not the lookalike. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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

IS WORK OVER?

31%

#33 / 623

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