Automation index
How much of a Project manager’s job can AI already do?
Today an AI can already knock out copy, outlines, reports, and a lot of the prep. Deciding what matters, and what moves the business, is another story.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Project manager
38%
AI can already do 38% of this job.
#10 / 623
View rankingProject 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.
| Task | Share | AI | Points |
|---|---|---|---|
Plans and statusEstimateNo public source provides a precise figure. This is our estimate. | 30% | 65% | +19.5 |
Templated risksEstimateNo public source provides a precise figure. This is our estimate. | 20% | 50% | +10 |
People and conflictEstimateNo public source provides a precise figure. This is our estimate. | 30% | 15% | +4.5 |
Client managementEstimateNo public source provides a precise figure. This is our estimate. | 20% | 20% | +4 |
| Total | 100% | 38% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- sustainable finance
- corporate social responsibility
- strategic planning
- data analytics
- promote sustainability
- promote human rights implementation
- monitor social impact
- define the corporate structure
- conduct quantitative research
- promote environmental awareness
Sources for this job· O*NET 13-1082.00· ESCO/ISCO 1219
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