Automation index

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

A layout and an order come earlier. The first row coming out square does not.

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

Task comparison

IS WORK OVER?

17%

AI can already do 17% of this job.

#608 / 643

Tiler

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
Layout, levels and ordering tile. Estimate No public source provides a precise figure. This is our estimate.	16%	30%	+4.8
Cut, set and grout. Estimate No public source provides a precise figure. This is our estimate.	24%	8%	+1.9
Substrates, falls and awkward points. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Site, client and not staining the house. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Quantities, extras and logs. Estimate No public source provides a precise figure. This is our estimate.	14%	22%	+3.1
Not leaving a floor that sounds hollow. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		17%

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

IS WORK OVER?

31%

#33 / 643

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

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