IS WORK OVER?

Automation index

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

A chart and a booking come earlier. Hands on a trapezius, and not doing harm, do not.

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

Task comparison

Massage therapist

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
Bookings, charts and consent.
Estimate

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

14%32%+4.5
Massage, pressure and tissue work.
Estimate

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

24%8%+1.9
Assess complaint, contraindication and referral.
Estimate

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

16%18%+2.9
Explain posture and exercises.
Estimate

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

16%22%+3.5
Couch hygiene, oils and the room.
Estimate

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

16%14%+2.2
The therapist’s body and not injuring anyone.
Estimate

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

14%16%+2.2
Total100%17%

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

Skills and activities

  • Bookings, charts and consent
  • Massage, pressure and tissue work
  • Explain posture and exercises
  • Couch hygiene, oils and the room
  • masajista
  • massage therapist

Sources for this job· O*NET 31-9011.00· ESCO/ISCO 3255

Job insertion technician

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
Employer prospecting and the agreements.
Estimate

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

16%40%+6.4
Go with them to the job and the first day.
Estimate

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

18%18%+3.2
Follow-up, incidents and the one who quits.
Estimate

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

16%32%+5.1
Reports, indicators and justifying the grant.
Estimate

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

16%28%+4.5
The hard candidate and the employer who pulls out.
Estimate

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

18%14%+2.5
That they stay, and not dressing the figure.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • prospect employers
  • place candidates
  • follow up in post
  • insertion agreements
  • justify grants
  • job accompaniment
  • workplace incidents
  • insertion indicators

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423

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