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
IS WORK OVER?
Speech therapist
19%
AI can already do 19% of this job.
#517 / 643
View rankingSpeech 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.
| Task | Share | AI | Points |
|---|---|---|---|
Reports, session plans and materials.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 35% | +6.3 |
Standardised assessments and records.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
In-person therapy of speech, voice or swallow.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Guide family and school.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Coordinate with doctor, ENT and teachers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
Adjust the plan when the patient stalls.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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