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?
Data engineer
31%
#36 / 623
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511