Automation index
How much of a Insurance claims adjuster’s job can AI already do?
A claim form and some photos come earlier. Valuing the damage on site and closing the claim do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Insurance claims adjuster
29%
AI can already do 29% of this job.
#68 / 623
View rankingInsurance claims adjuster
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 |
|---|---|---|---|
Read policy, claim form and cover.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
On-site inspection, photos and facts.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Value damage, parts and write the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Negotiate with garage, injured party and insurer.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Fraud, recoveries and clash with another adjuster.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Close the file and own the valuation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- adjust claims
- assess damage
- inspect on site
- value repairs
- spot fraud
- negotiate payouts
- write survey reports
- close claims
Sources for this job· O*NET 13-1031.00· ESCO/ISCO 3315
IS WORK OVER?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635