Automation index
How much of a Secretary’s job can AI already do?
Minutes and a diary come earlier. Knowing what is not said, who gets in, and when to interrupt do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Secretary
28%
AI can already do 28% of this job.
#118 / 623
View rankingSecretary
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 |
|---|---|---|---|
Minutes, mail and template documents.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Diary, travel and expenses.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Filter calls and visitors.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Anticipate the boss and the conflict.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Confidentiality and internal protocol.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Board, clients and the team.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Minutes, mail and template documents
- Diary, travel and expenses
- Filter calls and visitors
- Anticipate the boss and the conflict
- Confidentiality and internal protocol
- Board, clients and the team
- secretario
- secretaria
- secretary
- asistente administrativo senior
Sources for this job· O*NET 43-6011.00· ESCO/ISCO 3343
IS WORK OVER?
Data engineer
31%
#36 / 623
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