IS WORK OVER?

Automation index

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

A stain card comes earlier. Lifting the stain without eating the colour do not.

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

Task comparison

Dry 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
Card, fibre and pretreatment.
Estimate

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

16%40%+6.4
Machine, solvent and the delicate garment.
Estimate

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

18%14%+2.5
Press, the finish and the one that marks.
Estimate

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

16%28%+4.5
Job, the groom and the one who wants it now.
Estimate

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

16%22%+3.5
The old stain and not promising miracles.
Estimate

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

18%18%+3.2
Lift the stain, and not eating the colour.
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

  • pretreat stains
  • solvents
  • press
  • delicates
  • job cards
  • finish
  • fibres
  • old stains

Sources for this job· O*NET 51-6011.00· ESCO/ISCO 9121

Flight attendant

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
Briefing, cabin inventory and flight reports.
Estimate

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

16%30%+4.8
Cabin service, sales and requests.
Estimate

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

18%22%+4
Safety, demo and emergency procedure.
Estimate

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

20%8%+1.6
Conflict and disruptive-passenger handling.
Estimate

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

16%10%+1.6
Care for minors, sick passengers and reduced mobility.
Estimate

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

16%12%+1.9
Coordination with cockpit and ground.
Estimate

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

14%18%+2.5
Total100%16%

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

Skills and activities

  • Cabin service, sales and requests
  • Safety, demo and emergency procedure
  • Conflict and disruptive-passenger handling
  • Coordination with cockpit and ground
  • azafata
  • auxiliar de vuelo
  • tripulante de cabina
  • flight attendant
  • tcp

Sources for this job· O*NET 53-2031.00· ESCO/ISCO 5111

Analyse my job

Jobs with similar scores

  1. 357Oceanographer22%
  2. 358Ophthalmologist22%
  3. 359Oncologist22%
  4. 361School counsellor22%
  5. 362Orthodontist22%
  6. 363Fishmonger22%