IS WORK OVER?

Automation index

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

A pattern comes earlier. Fitting, marking and hanging on the body do not.

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

Task comparison

Tailor

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
Pattern, measures and the fitting.
Estimate

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

16%32%+5.1
Cut, tack and the shoulder that will not hang.
Estimate

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

22%8%+1.8
Fit, mark and the client who loses weight.
Estimate

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

16%22%+3.5
Buttonholes, lining and the hand finish.
Estimate

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

16%28%+4.5
The groom, the deadline and not rushing the hem.
Estimate

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

16%18%+2.9
Hang on the body, and not leaving a high shoulder.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • take measures
  • patterns
  • tack
  • buttonholes
  • tailor fittings
  • linings
  • hem
  • shoulder

Sources for this job· O*NET 51-6052.00· ESCO/ISCO 7531

Public health officer

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
Surveillance, the indicator and the alert.
Estimate

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

16%40%+6.4
Outbreak, the questionnaire and the one who will not answer.
Estimate

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

18%14%+2.5
Field, the source and shutting the premises.
Estimate

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

16%28%+4.5
Report, the mayor and not softening the figure.
Estimate

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

16%22%+3.5
Vaccination, coverage and the rumour.
Estimate

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

18%18%+3.2
Cut the outbreak, and not softening it.
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

  • epi surveillance
  • outbreaks
  • field questionnaires
  • shut premises
  • vaccine coverage
  • public-health alerts
  • mayors
  • not soften figures

Sources for this job· O*NET 21-1091.00· ESCO/ISCO 2263

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