IS WORK OVER?

Automation index

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

A log and a checklist come earlier. Scrubbing a bathroom, a night shift, and a stain that will not lift do not.

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

Task comparison

Cleaner

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
Logs, checklists and product orders.
Estimate

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

14%32%+4.5
Scrubber-driers and dosing.
Estimate

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

12%22%+2.6
Mop, vacuum, disinfect and restock.
Estimate

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

26%10%+2.6
Waste, linen and sensitive areas.
Estimate

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

16%12%+1.9
Shifts, keys and dealing with users.
Estimate

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

16%14%+2.2
Surprises: vomit, works, a complaint.
Estimate

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

16%16%+2.6
Total100%16%

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

Skills and activities

  • Logs, checklists and product orders
  • Scrubber-driers and dosing
  • Mop, vacuum, disinfect and restock
  • Waste, linen and sensitive areas
  • Shifts, keys and dealing with users
  • Surprises: vomit, works, a complaint
  • limpiador
  • limpiadora
  • personal de limpieza
  • cleaner

Sources for this job· O*NET 37-2011.00· ESCO/ISCO 9112

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

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