Automation index
How much of a Tourist-office officer’s job can AI already do?
A map and a leaflet come earlier. The visitor leaving happy, not lost, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tourist-office officer
27%
AI can already do 27% of this job.
#184 / 623
View rankingTourist-office officer
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 |
|---|---|---|---|
Map, diary and the counter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
The one with no language, the one who argues and the one with no booking.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Events, capacity and the one that cancels.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Data, survey and not inflating visitors.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The council, the shops and not only selling the centre.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Happy, and not lost.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
- tourist counter
- maps
- events diary
- capacity
- surveys
- bookings
- visitors
- the council
Sources for this job· O*NET 41-3041.00· ESCO/ISCO 4221
IS WORK OVER?
Data scientist
40%
#6 / 623
View rankingData scientist
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 |
|---|---|---|---|
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 55% | +7.7 |
Manage timely flow of business intelligence information to users.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 28% | +3.6 |
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 48% | +5.3 |
Provide technical support for existing reports, dashboards, or other tools.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 55% | +5 |
Synthesize current business intelligence or trend data to support recommendations for action.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Identify or monitor current and potential customers, using business intelligence tools.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 29% | 28% | +8.1 |
| Total | 100% | 40% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- analyse data
- models
- dashboards
- python
- information structure
- data warehouse
- database
- web programming
- ICT security legislation
- business process modelling
Sources for this job· O*NET 15-2051.01· ESCO/ISCO 2521