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

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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