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

IS WORK OVER?

28%

AI can already do 28% of this job.

#123 / 623

Paid media specialist

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.

Task	Share	AI	Points
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
Total	100%		28%

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

IS WORK OVER?

21%

#434 / 623

Network technician

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.

Task	Share	AI	Points
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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