Automation index
How much of a Packaging engineer’s job can AI already do?
A 3D prototype comes earlier. Surviving transport and opening on the shelf do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Packaging engineer
27%
AI can already do 27% of this job.
#161 / 623
View rankingPackaging 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 |
|---|---|---|---|
Spec, 3D and the drop test.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
The packing line and the one that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Material, recyclability and unit cost.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Supplier, die and pack colour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Marketing, legal and not lying on the pack.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it survives the trip, and not oversizing the plastic.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
- design packs
- drop test
- packing line
- recyclability
- die-cut
- unit cost
- pack spec
- 3D prototype
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141
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