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?

30%

#53 / 643

Hotel receptionist

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
Greet, register, and assign rooms to guests of hotels or motels. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Issue room keys and escort instructions to bellhops. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Verify customers' credit, and establish how the customer will pay for the accommodation. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Keep records of room availability and guests' accounts, manually or using computers. Estimate No public source provides a precise figure. This is our estimate.	7%	55%	+3.9
Make and confirm reservations. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Review accounts and charges with guests during the check out process. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Answer inquiries pertaining to hotel services, guest registration, and travel directions, or make recommendations regarding shopping, dining, or entertainment. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Compute bills, collect payments, and make change for guests. 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.	47%	28%	+13.2
Total	100%		30%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low