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?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514