IS WORK OVER?

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

Site reliability engineer

Where the time goes

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.

TaskShareAIPoints
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
Total100%28%

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

Skills and activities

  • SLOs
  • runbooks
  • handle incidents
  • error budget
  • autoscale
  • postmortem
  • reduce toil
  • reliability CI/CD

Sources for this job· O*NET 15-1244.00· ESCO/ISCO 2512

Warehouse supervisor

Where the time goes

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.

TaskShareAIPoints
Docks, waves and the shift plan.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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