Automation index

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

A runbook and autoscale come earlier. The 3 a.m. incident without taking production down 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.

#103 / 623

Site 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
SLOs, alerts and the runbook. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Incident, war room and not making it worse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
CI/CD, capacity and the error budget. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Postmortem, toil and automating the repeated. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The product that wants to ship and the SLO that will not allow it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Not taking production down, and signing the change. 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?

22%

#364 / 623

Order picker

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
List, location and the scan. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Aisle, height and the parcel that will not fit. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Errors, the short and calling it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pace, the shift and the pallet that goes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Peaks, Black Friday and not mixing orders. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Hit the SKU, and not leaving a lame pallet. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		22%

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