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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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