Automation index
How much of a Tactical analyst’s job can AI already do?
A clip comes earlier. The manager using it, and it not being noise, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tactical analyst
27%
AI can already do 27% of this job.
#132 / 623
View rankingTactical analyst
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 |
|---|---|---|---|
Video, tags and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Opponent, patterns and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Preview, the dressing room and not drowning them.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Live, the tablet and the change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The manager, the ego and not contradicting in public.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it is used, and not being noise.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
- tag video
- opponent patterns
- preview
- bench tablet
- tactical reports
- dressing room
- changes
- data noise
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422
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