Automation index

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

A site checklist comes earlier. Stopping the job and issuing the penalty do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#299 / 633

Labour inspector

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
Plan visits, complaints and the firm’s history. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site or workplace, stop unsafe work and take statements. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Minutes, orders and the penalty proposal. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Contracts, hours and the bogus self-employed. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Union, employer and what is argued in the corridor. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
A penalty that holds, and not looking away. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		23%

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

IS WORK OVER?

22%

#338 / 633

Ice-cream maker

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
Base, overrun and the recipe. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Churn, age and the one that crystals. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
List, season and the flavour that misses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Workshop, cold and the broken chain. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Summer, the queue and not running out of vanilla. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Creamy in the mouth, and not selling ice. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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