IS WORK OVER?

Automation index

How much of a Insurance agent’s job can AI already do?

Today an AI can already find leads, set up contact, and follow through. Sitting across from someone and closing is still something else.

This percentage does not predict how many people will lose their jobs.

Task comparison

Insurance agent

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
Sell various types of insurance policies to businesses and individuals on behalf of insurance companies, including automobile, fire, life, property, medical and dental insurance, or specialized policies, such as marine, farm/crop, and medical malpractice.
Estimate

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

11%28%+3.1
Customize insurance programs to suit individual customers, often covering a variety of risks.
Estimate

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

10%28%+2.8
Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans.
Estimate

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

9%28%+2.5
Perform administrative tasks, such as maintaining records and handling policy renewals.
Estimate

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

9%55%+5
Select company that offers type of coverage requested by client to underwrite policy.
Estimate

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

8%28%+2.2
Calculate premiums and establish payment method.
Estimate

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

8%48%+3.8
Seek out new clients and develop clientele by networking to find new customers and generate lists of prospective clients.
Estimate

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

7%28%+2
Call on policyholders to deliver and explain policy, to analyze insurance program and suggest additions or changes, or to change beneficiaries.
Estimate

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

7%48%+3.4
Other less frequent tasks (weight estimated from frequency).
Estimate

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

31%28%+8.7
Total100%34%

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

Skills and activities

  • insurance law
  • sales promotion techniques
  • principles of insurance
  • actuarial science
  • claims procedures
  • types of insurance
  • calculate insurance rate
  • protect client interests
  • analyse insurance needs
  • inform on insurance products

Sources for this job· O*NET 41-3021.00· ESCO/ISCO 3321

Pizza maker

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
Dough, ferment and the day’s point.
Estimate

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

16%36%+5.8
Open, top and the oven at a thousand.
Estimate

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

22%8%+1.8
Serve, delivery and the one that arrives cold.
Estimate

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

16%22%+3.5
List, costs and the topping that runs out.
Estimate

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

16%28%+4.5
Saturday, the queue and not working too far ahead.
Estimate

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

16%18%+2.9
Pull it in time, and not leaving it carbonised.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • open dough
  • bake pizza
  • ferment
  • top pizzas
  • the oven
  • pizza delivery
  • dough point
  • Saturday queue

Sources for this job· O*NET 35-2011.00· ESCO/ISCO 5120

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