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
IS WORK OVER?
Insurance agent
33%
AI can already do 33% of this job.
#23 / 623
View rankingInsurance 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.
| Task | Share | AI | Points |
|---|---|---|---|
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.EstimateNo 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.EstimateNo 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.EstimateNo 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.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Calculate premiums and establish payment method.EstimateNo 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.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 48% | +3.4 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 31% | 28% | +8.7 |
| Total | 100% | 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
IS WORK OVER?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511