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 / 633
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?
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