Automation index
How much of a Political scientist’s job can AI already do?
A briefing and a poll cross come earlier. Understanding an electorate does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Political scientist
25%
AI can already do 25% of this job.
#283 / 733
View rankingPolitical scientist
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 |
|---|---|---|---|
Briefings, polls and situation notes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Data, press archive and comparison.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Advise, debate and not sell smoke.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, interviews and observation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Teaching, papers and outreach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not confusing a headline with a country.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Briefings, polls and situation notes
- Data, press archive and comparison
- Advise, debate and not sell smoke
- Field, interviews and observation
- Teaching, papers and outreach
- Not confusing a headline with a country
- politologo
- political scientist
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2633
IS WORK OVER?
Reliability engineer
27%
#175 / 733
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.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
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141