Automation index

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

Running a model and a reserving report is shorter. Signing the assumptions and answering the supervisor is not.

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

Task comparison

IS WORK OVER?

32%

AI can already do 32% of this job.

#25 / 623

Actuary

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
Run models, reserves and sensitivities. Estimate No public source provides a precise figure. This is our estimate.	24%	55%	+13.2
Draft technical reports and memos. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Choose assumptions, tables and criteria. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Explain to the board and the supervisor. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
Validate data quality and bias. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Signed opinion and professional liability. Estimate No public source provides a precise figure. This is our estimate.	12%	18%	+2.2
Total	100%		32%

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