Automation index

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

An MTBF comes earlier. It not dropping at three without hiding the spare do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#177 / 753

Reliability 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
Data, MTBF and the Pareto. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Failure, the cause and not patching twice. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Spare, the critical and not hiding it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
RCM, the plan and the one that is not done. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Production, the rush and not running the tired one. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not drop at three, and not hiding the spare. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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

IS WORK OVER?

22%

#392 / 753

Facilities 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
CMMS, tickets and the PPM. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Roof, the chiller and the one that will not start. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Generator, the diesel and not leaving it dry. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Fire, the pump and the monthly test. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The tenant, August and not jumping to a yes. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That cooling does not die, and not leaving the generator dry. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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