Automation index
How much of a Office receptionist’s job can AI already do?
A diary comes earlier. Greeting without losing the visitor in the lobby do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Office receptionist
22%
AI can already do 22% of this job.
#374 / 623
View rankingOffice receptionist
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 |
|---|---|---|---|
Diary, visitors and the lobby.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Calls, the one who is out and the message.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Parcels, the urgent and not signing blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Access, the one without an appointment and not letting them through.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The peak, the mood and keeping calm.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Greet, and not losing the visitor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- visitor diary
- lobby
- messages
- parcels
- access
- switchboard
- appointments
- sign-ins
Sources for this job· O*NET 43-4171.00· ESCO/ISCO 4226
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