IS WORK OVER?

Automation index

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

A layout and a store listing come earlier. It not crashing on a real phone do not.

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

Task comparison

Mobile 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.

TaskShareAIPoints
Screens, API and offline state.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
CI, tests and the week's release.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Criminologist

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.

TaskShareAIPoints
Data, maps and the victimisation report.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Profiles, reoffending and programme evaluation.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Field, interviews and what the spreadsheet misses.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Police, judges and the measure under debate.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Prevention, the neighbourhood and the programme that does not fit.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The opinion, and not selling magic recipes.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%28%

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

Skills and activities

  • crime maps
  • study reoffending
  • victimisation
  • evaluate programmes
  • situational prevention
  • criminological profiles
  • reports for judges
  • fieldwork

Sources for this job· O*NET 19-3041.00· ESCO/ISCO 2632

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