Automation index
How much of a Tender specialist’s job can AI already do?
A specification comes earlier. Filing on time without leaving an empty envelope do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tender specialist
27%
AI can already do 27% of this job.
#182 / 623
View rankingTender specialist
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 |
|---|---|---|---|
Spec, requirements and the calendar.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Bid, scoring and the certificate that is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Board, clarifications and not contradicting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Appeal, the tie and the one that falls.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Sales, the price and not dumping the margin.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
On time, and the envelope complete.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
- specs
- scoring
- award boards
- certificates
- appeals
- tender calendar
- clarifications
- envelopes
Sources for this job· O*NET 13-1199.00· ESCO/ISCO 2422
IS WORK OVER?
Climatologist
27%
#140 / 623
View rankingClimatologist
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 |
|---|---|---|---|
Series, homogenise and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Models, scenarios and the uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the headline and not selling the easy one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, the station and the one that moves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The politician, the figure and not staying quiet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Attribute, and not selling the headline.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
- climate series
- homogenise
- scenarios
- uncertainty
- headlines
- stations
- climate reports
- attribution
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112