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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
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

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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