Automation index
How much of a CISO’s job can AI already do?
A risk dashboard comes earlier. Saying no to the business and riding out the incident do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
CISO
25%
AI can already do 25% of this job.
#217 / 623
View rankingCISO
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 |
|---|---|---|---|
Risks, policies and the control map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
The incident, the board and talk to press or not.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Budget, vendors and cyber insurance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Audit, ISO and briefing the board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business that wants to ship now, and the no.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Ride out the incident, and not lying to the board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- risk map
- security policies
- handle incidents
- ISO 27001
- cyber insurance
- brief the board
- say no to the business
- security controls
Sources for this job· O*NET 11-3021.00· ESCO/ISCO 1330
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