Automation index
How much of a Economist’s job can AI already do?
Pulling a dataset and a first chart is instant. Deciding which model holds, and explaining it to a ministry, is not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Economist
30%
AI can already do 30% of this job.
#49 / 763
View rankingEconomist
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 |
|---|---|---|---|
Clean data, estimate and produce tables.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Draft notes, briefs and a first paper.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Choose model, assumptions and robustness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present to a client, ministry or board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Debate, peer-review and defend the numbers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Read the political context and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clean data, estimate and produce tables
- Draft notes, briefs and a first paper
- Choose model, assumptions and robustness
- Present to a client, ministry or board
- Debate, peer-review and defend the numbers
- economista
- economist
Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631
IS WORK OVER?
QA automation engineer
27%
#185 / 763
View rankingQA automation 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 |
|---|---|---|---|
Test, the selector and the flake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pipeline, the green and the one that lies.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Bug, the repro and not closing it blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Data, the environment and not sharing prod.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The developer, the rush and not skipping the one that fails.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Catch the bug, and not painting a lying green.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
- automated tests
- selectors
- flakes
- QA pipelines
- repro
- environments
- lying green
- debug tests
Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519