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

Histology technician

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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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