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
IS WORK OVER?
SEM specialist
28%
AI can already do 28% of this job.
#97 / 623
View rankingSEM 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.
| Task | Share | AI | Points |
|---|---|---|---|
Campaigns, keywords and Quality Score.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Landing, tracking and the conversion that misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The client who wants more clicks for less.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reports, copy and the ad A/B.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Legal, brands and the claim you cannot make.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Spend on buyers, and not inflating impressions.EstimateNo 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
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
IS WORK OVER?
Data architect
28%
#83 / 623
View rankingData architect
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.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo 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
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511