Automation index
How much of a Window installer’s job can AI already do?
A measured opening comes earlier. Closing, insulating and not trapping the lintel do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Window installer
19%
AI can already do 19% of this job.
#512 / 643
View rankingWindow installer
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 |
|---|---|---|---|
Measure openings, subframe and the order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Set, plumb and the missing packer.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Foam, seal and the sweating lintel.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fittings, adjust and the sash that rubs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The lived-in house and not leaving the room freezing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it closes, and not trapping the lintel.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- measure openings
- subframes
- plumb windows
- seal lintels
- adjust sashes
- foam
- packers
- window fittings
Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125
IS WORK OVER?
Barista
28%
#84 / 643
View rankingBarista
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 |
|---|---|---|---|
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 28% | +2.5 |
Receive and process customer payments.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Take customer orders and convey them to other employees for preparation.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Describe menu items to customers, or suggest products that might appeal to them.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Serve prepared foods, such as muffins, biscotti, or bagels.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Prepare or serve menu items, such as sandwiches or salads.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Clean or sanitize work areas, utensils, or equipment.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Clean service or seating areas.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. | 42% | 28% | +11.8 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- comply with food safety and hygiene
- educate customers on tea varieties
- maintain relationship with customers
- greet guests
- handle customer complaints
- upsell products
- handover the service area
- set up the coffee area
- maintain customer service
- work in a hospitality team
Sources for this job· O*NET 35-3023.01· ESCO/ISCO 5132