IS WORK OVER?

Automation index

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

A session plan and some drills come earlier. Sitting with a child who does not speak, and with their mother, do not.

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

Task comparison

Speech 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
Reports, session plans and materials.
Estimate

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

18%35%+6.3
Standardised assessments and records.
Estimate

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

16%28%+4.5
In-person therapy of speech, voice or swallow.
Estimate

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

22%8%+1.8
Guide family and school.
Estimate

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

16%12%+1.9
Coordinate with doctor, ENT and teachers.
Estimate

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

14%14%+2
Adjust the plan when the patient stalls.
Estimate

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

14%16%+2.2
Total100%19%

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

Skills and activities

  • Reports, session plans and materials
  • Standardised assessments and records
  • Guide family and school
  • Coordinate with doctor, ENT and teachers
  • Adjust the plan when the patient stalls
  • logopeda
  • speech therapist
  • fonoaudiologo

Sources for this job· O*NET 29-1127.00· ESCO/ISCO 2266

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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