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?
Agile coach
24%
#257 / 633
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421