Automation index
How much of a Spanish language teacher’s job can AI already do?
A text commentary comes earlier. Them writing with sense without copying from the web do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Spanish language teacher
22%
AI can already do 22% of this job.
#467 / 773
View rankingSpanish language 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 |
|---|---|---|---|
Reading, the commentary and the rubric.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Writing, the paragraph and the one who will not start.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Speaking, the fear and getting them to talk.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Spelling, the mark-up and not humiliating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Plagiarism, the web and not looking away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they write with sense, and not copying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- text commentary
- writing
- speaking
- spelling
- language rubrics
- plagiarism
- paragraphs
- reading
Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330
IS WORK OVER?
Front-end developer
27%
#157 / 773
View rankingFront-end developer
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 |
|---|---|---|---|
Component, states and the design.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Accessible, the keyboard and the reader.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Contrast, the token and not leaving it dead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Performance, the weight and not adding the extra library.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The designer, the pixel and not fighting for sport.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it works from the keyboard, and not leaving the contrast.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- components
- accessibility
- keyboard
- contrast
- tokens
- front-end performance
- libraries
- write interface
Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513