Automation index
How much of a Adult-education teacher’s job can AI already do?
A pathway comes earlier. Coming back to class without shame do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Adult-education teacher
22%
AI can already do 22% of this job.
#366 / 633
View rankingAdult-education 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 |
|---|---|---|---|
Pathway, level and the material.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Class, the one from work and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Literacy, the form and the one who cannot sign.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Assess without humiliating, and the certificate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Life, the children and not losing them in October.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they come back, and not being ashamed.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
- adult pathways
- literacy
- forms
- evening classes
- certificates
- October
- levels
- not humiliate
Sources for this job· O*NET 25-3011.00· ESCO/ISCO 2351
IS WORK OVER?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635