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

Clinical research associate

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
Protocol, CRF and the monitoring visit.
Estimate

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

18%48%+8.6
Source, the gap and the one that does not fit.
Estimate

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

16%40%+6.4
Adverse event, the deadline and not delaying.
Estimate

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

16%22%+3.5
Consent, the signature and the one who did not understand.
Estimate

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

16%28%+4.5
The sponsor, the audit and not dressing the figure.
Estimate

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

18%14%+2.5
Audit, and not leaving a made-up figure.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • CRF
  • monitoring
  • adverse events
  • informed consent
  • source data
  • trial audits
  • clinical protocols
  • site visits

Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131

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