Automation index
How much of a CCTV technician’s job can AI already do?
A camera plan comes earlier. Seeing the face, not the wall opposite, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
CCTV technician
23%
AI can already do 23% of this job.
#316 / 633
View rankingCCTV technician
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 |
|---|---|---|---|
Plan, FOV and the recorder.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Fit, focus and the backlight that blinds.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Network, PoE and the disk that fills.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Data-protection law, signs and the client who wants the whole street.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Residents, the porter and the illegal angle.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
See the face, and not recording extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- focus cameras
- FOV
- PoE
- recorders
- data-protection signs
- lawful angles
- recording disks
- camera plan
Sources for this job· O*NET 49-2098.00· ESCO/ISCO 7412
IS WORK OVER?
Prompt engineer
34%
#21 / 633
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