Automation index
How much of a Inventory clerk’s job can AI already do?
A cycle count comes earlier. Matching what is there to what the system says do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Inventory clerk
28%
AI can already do 28% of this job.
#105 / 623
View rankingInventory clerk
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 |
|---|---|---|---|
Count, locations and the adjustment.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Floor, the gap and what is in the aisle.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, shrink and the reason.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Audit, the auditor and not dressing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, the blind count and the stopped warehouse.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Match for real, and not adjusting blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cycle count
- adjust stock
- locations
- shrink
- blind count
- stock audit
- gaps
- variance reasons
Sources for this job· O*NET 43-5081.00· ESCO/ISCO 4321
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