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

Prompt engineer

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
Design prompts, tools and chains.
Estimate

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

24%58%+13.9
Evals, datasets and regressions.
Estimate

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

18%52%+9.4
Integrate with product and safety limits.
Estimate

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

16%22%+3.5
Talk to the business about a good output.
Estimate

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

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

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

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

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

12%16%+1.9
Total100%34%

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

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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