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?
Labour inspector
23%
AI can already do 23% of this job.
#299 / 623
View rankingLabour inspector
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 |
|---|---|---|---|
Plan visits, complaints and the firm’s history.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Site or workplace, stop unsafe work and take statements.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Minutes, orders and the penalty proposal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Contracts, hours and the bogus self-employed.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Union, employer and what is argued in the corridor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
A penalty that holds, and not looking away.EstimateNo 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
Skills and activities
- visit sites
- stop unsafe work
- infringement minutes
- bogus self-employment
- check contracts
- labour orders
- fine firms
- take statements
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 3352
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514