Automation index

How much of a Maintenance technician’s job can AI already do?

A CMMS and a procedure come earlier. Hearing a bearing, and leaving the plant running, do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#389 / 633

Maintenance technician

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
CMMS, history and spare orders. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Procedures, written LOTO and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Diagnose, strip and repair. Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Field preventative and measurements. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, shutdowns and production pressure. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Safety, permits and not leaving the plant down. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		22%

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