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?

29%

AI can already do 29% of this job.

#68 / 623

Insurance claims adjuster

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
On-site inspection, photos and facts. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Value damage, parts and write the report. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Negotiate with garage, injured party and insurer. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Fraud, recoveries and clash with another adjuster. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Close the file and own the valuation. Estimate No 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

IS WORK OVER?

25%

#230 / 623

Biomedical engineer

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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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