Automation index
How much of a Trader’s job can AI already do?
An order book comes earlier. Executing without blowing the price do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Trader
27%
AI can already do 27% of this job.
#190 / 623
View rankingTrader
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 |
|---|---|---|---|
Book, liquidity and the ticket.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Execute, slippage and the one who panics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Limits, risk and not blowing them.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Close, P&L and not hiding the loss.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The rumour, the news and not chasing.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Execute clean, and not blowing the price.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
- order book
- slippage
- risk limits
- P&L
- liquidity
- tickets
- the close
- news
Sources for this job· O*NET 41-3031.00· ESCO/ISCO 3311
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