Automation index
How much of a Switchboard operator’s job can AI already do?
A switchboard comes earlier. Putting the call through without hanging up on the one who waits do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Switchboard operator
27%
AI can already do 27% of this job.
#187 / 623
View rankingSwitchboard operator
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 |
|---|---|---|---|
Board, destinations and the shift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
The call, the one who is out and the message.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Emergencies, the anger and not losing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Directory, changes and not putting through wrong.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, the queues and not hanging up.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Put it through, and not hanging up on the one who waits.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
- switchboard
- destinations
- messages
- directory
- call queues
- emergencies
- telephony shifts
- extension changes
Sources for this job· O*NET 43-2021.00· ESCO/ISCO 4223
IS WORK OVER?
Prompt engineer
34%
#21 / 623
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