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

Materials 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
Tests, metallography and the spec.
Estimate

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

18%48%+8.6
Shop, heat treatment and the part that fails spec.
Estimate

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

16%22%+3.5
Material choice, corrosion and fatigue.
Estimate

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

16%36%+5.8
Supplier, certificates and the doubtful batch.
Estimate

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

16%28%+4.5
The field failure and the root cause.
Estimate

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

18%14%+2.5
That it does not fail, and not swapping the material blind.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • materials tests
  • metallography
  • choose alloys
  • corrosion
  • fatigue
  • heat treatment
  • failure analysis
  • batch certificates

Sources for this job· O*NET 17-2131.00· ESCO/ISCO 2149

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