Automation index

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

Neuronavigation comes earlier. Going into the skull and not leaving a deficit do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#516 / 633

Neurosurgeon

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
Indicate, consent and the plan with neurology. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Craniotomy, spine and the tumour that bleeds. Estimate No public source provides a precise figure. This is our estimate.	24%	6%	+1.4
Neuronavigation, monitoring and the margin. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Neuro ICU, pupils and raised pressure. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Family, the deficit and rehab. Estimate No public source provides a precise figure. This is our estimate.	14%	28%	+3.9
On-call, the haematoma and signing go or no-go. Estimate No public source provides a precise figure. This is our estimate.	14%	10%	+1.4
Total	100%		19%

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

IS WORK OVER?

25%

#230 / 633

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