Automation index

How much of a Paver’s job can AI already do?

A fall set-out comes earlier. Leaving a pavement that does not pond do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#536 / 643

Paver

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
Set-out, levels and layer thickness. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Lay, compact and the edge that opens. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Joints, seals and the gully junction. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Plant, mix temperature and the cold day. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Traffic, the closure and not leaving a step. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
No ponding, and not skimping compaction. Estimate No 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

IS WORK OVER?

28%

#84 / 643

Barista

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. Estimate No public source provides a precise figure. This is our estimate.	9%	28%	+2.5
Receive and process customer payments. Estimate No 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. Estimate No 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. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Serve prepared foods, such as muffins, biscotti, or bagels. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Prepare or serve menu items, such as sandwiches or salads. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Clean or sanitize work areas, utensils, or equipment. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Clean service or seating areas. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Other less frequent tasks (weight estimated from frequency). Estimate No 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