IS WORK OVER?

Automation index

How much of a Adult-education teacher’s job can AI already do?

A pathway comes earlier. Coming back to class without shame do not.

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

Task comparison

Adult-education teacher

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
Pathway, level and the material.
Estimate

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

16%40%+6.4
Class, the one from work and the one who hides.
Estimate

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

18%14%+2.5
Literacy, the form and the one who cannot sign.
Estimate

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

16%28%+4.5
Assess without humiliating, and the certificate.
Estimate

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

16%22%+3.5
Life, the children and not losing them in October.
Estimate

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

18%18%+3.2
That they come back, and not being ashamed.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • adult pathways
  • literacy
  • forms
  • evening classes
  • certificates
  • October
  • levels
  • not humiliate

Sources for this job· O*NET 25-3011.00· ESCO/ISCO 2351

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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