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

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
Wheat, moisture and the diagram.
Estimate

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

16%40%+6.4
Mill, sift and the one that heats.
Estimate

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

18%14%+2.5
Quality, ash and the baker who complains.
Estimate

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

16%28%+4.5
Cleaning, pests and the silo.
Estimate

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

16%22%+3.5
The harvest, the batch and not mixing the wet.
Estimate

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

18%18%+3.2
Regular flour, and not scorching the grain.
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

  • mill wheat
  • sift
  • grain moisture
  • ash
  • silos
  • mill pests
  • mill diagrams
  • flour batches

Sources for this job· O*NET 51-9021.00· ESCO/ISCO 8160

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