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.

#182 / 763

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?

27%

#185 / 763

QA automation 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
Test, the selector and the flake. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Pipeline, the green and the one that lies. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Bug, the repro and not closing it blind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, the environment and not sharing prod. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The developer, the rush and not skipping the one that fails. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Catch the bug, and not painting a lying green. 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