IS WORK OVER?

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

Insurance 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.

TaskShareAIPoints
Forms, rating and terms.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Analyse risk, claims and reinsurance.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Brokers, agents and negotiation.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Surveys, clauses and exclusions.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Rules, reserves and documentation.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Not taking a risk that sinks the company.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

Olive-oil miller

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.

TaskShareAIPoints
Intake, yield and the mill log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

Analyse my job

Jobs with similar scores

  1. 250Court procurator25%
  2. 251Scrum master25%
  3. 252Sociologist25%
  4. 254Pest control technician25%
  5. 255Property manager24%
  6. 256Community health worker24%