Automation index
How much of a Language teacher’s job can AI already do?
A drill and a correction come earlier. Getting a shy person talking for an hour does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Language teacher
23%
AI can already do 23% of this job.
#310 / 633
View rankingLanguage teacher
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 |
|---|---|---|---|
Prepare lessons, worksheets and corrections.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Class, conversation and group dynamics.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Assess speaking, writing and levels.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Platform, homework and follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Families, schools and official exams.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not leaving someone mute in a language.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- teach class
- mark students
- lesson plans
- teach
- Class, conversation and group dynamics
- Assess speaking, writing and levels
- Platform, homework and follow-up
- Families, schools and official exams
- Not leaving someone mute in a language
- profesor de idiomas
Sources for this job· O*NET 25-3011.00· ESCO/ISCO 2353
IS WORK OVER?
Taxi driver
18%
#580 / 633
View rankingTaxi driver
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 |
|---|---|---|---|
Navigate, take payment and log shifts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Find the passenger and read the city.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Drive safely in all kinds of traffic.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Care, luggage and passenger languages.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Car maintenance and shifts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Licences, radio and zone knowledge.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive
- route
- load goods
- Navigate, take payment and log shifts
- Find the passenger and read the city
- Drive safely in all kinds of traffic
- Care, luggage and passenger languages
- Car maintenance and shifts
- Licences, radio and zone knowledge
- taxista
Sources for this job· O*NET 53-3054.00· ESCO/ISCO 8322