Automation index
How much of a Financial analyst’s job can AI already do?
Today an AI can already classify, reconcile, and prep a first close. The final call, and what goes to the tax office, still has a name on it.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Financial analyst
51%
AI can already do 51% of this job.
#2 / 623
View rankingFinancial 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 |
|---|---|---|---|
Models and closeEstimateNo public source provides a precise figure. This is our estimate. | 35% | 70% | +24.5 |
Variants and memosEstimateNo public source provides a precise figure. This is our estimate. | 25% | 65% | +16.3 |
Assumption judgmentEstimateNo public source provides a precise figure. This is our estimate. | 25% | 30% | +7.5 |
Committee and explanationEstimateNo public source provides a precise figure. This is our estimate. | 15% | 20% | +3 |
| Total | 100% | 51% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- financial management
- microeconomics
- statistics
- economics
- business processes
- macroeconomics
- accounting
- perform business research
- interpret financial statements
- advise on financial matters
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