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?
Agile coach
24%
#257 / 623
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421