Automation index
How much of a Workshop teacher’s job can AI already do?
A practical sheet comes earlier. Making the piece without cutting themselves do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Workshop teacher
19%
AI can already do 19% of this job.
#509 / 633
View rankingWorkshop 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 |
|---|---|---|---|
Sheet, material and the station.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Shop, the machine and the one without glasses.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
The piece, the error and doing it again.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Assess, the portfolio and not giving the pass away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The firm, the placement and the one who does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The piece made, and no cuts.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- practical sheets
- shop machines
- glasses
- portfolio
- firm placements
- shop stations
- shop safety
- pieces
Sources for this job· O*NET 25-2032.00· ESCO/ISCO 2320
IS WORK OVER?
Data engineer
31%
#36 / 633
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511