Automation index

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

An anaesthetic plan and a consent form come earlier. Putting someone under and bringing them back do not.

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

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#415 / 643

Anaesthetist

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
Assess pre-op, allergies and the anaesthetic plan. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Induce, maintain and wake in theatre. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Watch vitals, lines and acute pain. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Brief the patient and sign the consent. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Notes, consults and coordination with the surgeon. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
On-call, resuscitation and liability for the act. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		21%

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

IS WORK OVER?

26%

#216 / 643

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No 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