Automation index
How much of a Biochemist’s job can AI already do?
A protocol and a curve come earlier. An assay that says what it says does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Biochemist
24%
AI can already do 24% of this job.
#259 / 623
View rankingBiochemist
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 |
|---|---|---|---|
Protocols, curves and analysis.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Bench, pipettes and assays.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Team, paper and not dressing a gel.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Quality, lots and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Rules, waste and safety.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not publishing a result that does not replicate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Protocols, curves and analysis
- Bench, pipettes and assays
- Team, paper and not dressing a gel
- Quality, lots and documentation
- Rules, waste and safety
- bioquimico
- biochemist
Sources for this job· O*NET 19-1021.00· ESCO/ISCO 2131
IS WORK OVER?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142