Automation index
How much of a Insurance underwriter’s job can AI already do?
A form and a rating come earlier. Saying no to a risk you cannot see does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Insurance underwriter
25%
AI can already do 25% of this job.
#253 / 633
View rankingInsurance underwriter
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 |
|---|---|---|---|
Forms, rating and terms.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Analyse risk, claims and reinsurance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Brokers, agents and negotiation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Surveys, clauses and exclusions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Rules, reserves and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not taking a risk that sinks the company.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Forms, rating and terms
- Analyse risk, claims and reinsurance
- Brokers, agents and negotiation
- Surveys, clauses and exclusions
- Rules, reserves and documentation
- Not taking a risk that sinks the company
- suscriptor de seguros
- underwriter
Sources for this job· O*NET 13-2053.00· ESCO/ISCO 3321
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120