Automation index
How much of a Bid manager’s job can AI already do?
A win theme comes earlier. Coordinating the bid without delivering a collage do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Bid manager
27%
AI can already do 27% of this job.
#136 / 623
View rankingBid manager
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 |
|---|---|---|---|
Win theme, team and the calendar.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Write, cuts and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Price, margin and not dumping it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Review, legal and not contradicting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the oral and not improvising.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A coherent bid, not a collage.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
- win theme
- bid calendar
- bid margin
- legal review
- orals
- bid team
- cuts
- price
Sources for this job· O*NET 13-1199.00· ESCO/ISCO 2421
IS WORK OVER?
Prompt engineer
34%
#21 / 623
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512