IS WORK OVER?

Automation index

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

A campaign and an ad come earlier. Spending the budget on people who buy do not.

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

Task comparison

SEM 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
Campaigns, keywords and Quality Score.
Estimate

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

18%52%+9.4
Landing, tracking and the conversion that misses.
Estimate

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

16%40%+6.4
The client who wants more clicks for less.
Estimate

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

16%22%+3.5
Reports, copy and the ad A/B.
Estimate

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

16%28%+4.5
Legal, brands and the claim you cannot make.
Estimate

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

18%14%+2.5
Spend on buyers, and not inflating impressions.
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

  • SEM campaigns
  • keywords
  • Quality Score
  • landings
  • conversion tracking
  • ad A/B
  • Google Ads
  • media budget

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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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