Automation index
How much of a Investment analyst’s job can AI already do?
A model comes earlier. Calling buy or not and signing the memo do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Investment analyst
27%
AI can already do 27% of this job.
#131 / 623
View rankingInvestment analyst
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 |
|---|---|---|---|
Model, comps and the memo.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Data, the gap and what is not in the sheet.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Committee, the thesis and the one who falls in love.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Follow-up, the profit warning and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The PM, the rush and not inflating the target.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Buy or not, and signing the memo.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- valuation models
- comps
- investment memos
- thesis
- profit warning
- target
- investment committee
- follow-up
Sources for this job· O*NET 13-2051.00· ESCO/ISCO 2413
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