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

Data engineer

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
Design pipelines, models and orchestration.
Estimate

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

24%50%+12
Write SQL, Spark and data tests.
Estimate

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

18%45%+8.1
Incidents, quality and lineage in production.
Estimate

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

16%22%+3.5
Talk to analysts and negotiate data contracts.
Estimate

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

16%18%+2.9
Cloud cost, permissions and PII.
Estimate

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

14%15%+2.1
Decide architecture and technical debt.
Estimate

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

12%20%+2.4
Total100%31%

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

Skills and activities

  • Design pipelines, models and orchestration
  • Write SQL, Spark and data tests
  • Cloud cost, permissions and PII
  • Decide architecture and technical debt
  • ingeniero de datos
  • data engineer
  • etl

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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