IS WORK OVER?

Automation index

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

A clip comes earlier. The manager using it, and it not being noise, do not.

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

Task comparison

Tactical analyst

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
Video, tags and the report.
Estimate

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

18%48%+8.6
Opponent, patterns and the one who hides.
Estimate

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

16%40%+6.4
Preview, the dressing room and not drowning them.
Estimate

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

16%22%+3.5
Live, the tablet and the change.
Estimate

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

16%28%+4.5
The manager, the ego and not contradicting in public.
Estimate

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

18%14%+2.5
That it is used, and not being noise.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • tag video
  • opponent patterns
  • preview
  • bench tablet
  • tactical reports
  • dressing room
  • changes
  • data noise

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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

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