IS WORK OVER?

Automation index

How much of a Paid media specialist’s job can AI already do?

A media plan comes earlier. The pixel firing without burning the brand do not.

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

Task comparison

Paid media specialist

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
Plan, platforms and the pixel.
Estimate

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

18%52%+9.4
Creatives, frequency and audience cuts.
Estimate

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

16%40%+6.4
The client, going live and the campaign that drifts.
Estimate

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

16%22%+3.5
Reports, attribution and the last-click fight.
Estimate

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

16%28%+4.5
Brand safety and inventory you cannot touch.
Estimate

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

18%14%+2.5
That the pixel fires, and not burning extra CPM.
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

  • media plan
  • pixel
  • frequency
  • brand safety
  • attribution
  • creatives
  • audiences
  • digital inventory

Sources for this job· O*NET 13-1161.00· ESCO/ISCO 2431

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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