Automation index
How much of a Chemical engineer’s job can AI already do?
A balance and a simulation come earlier. Starting a plant and not leaking anything do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Chemical engineer
25%
AI can already do 25% of this job.
#241 / 633
View rankingChemical 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 |
|---|---|---|---|
Balances, simulation and sizing.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
P&IDs, specs and equipment lists.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Plant, operators and commissioning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Safety, HAZOP and discharges.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Quality, standards and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Sign a process that will not explode.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Balances, simulation and sizing
- P&IDs, specs and equipment lists
- Plant, operators and commissioning
- Safety, HAZOP and discharges
- Quality, standards and documentation
- Sign a process that will not explode
- ingeniero quimico
- chemical engineer
Sources for this job· O*NET 17-2041.00· ESCO/ISCO 2145
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.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
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511