Automation index

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

An IgE panel comes earlier. Doing the challenge and not triggering anaphylaxis do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#286 / 633

Allergist

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 IgE, prick tests and the reaction history. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Skin tests, challenges and immunotherapy. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Avoidance, adrenaline and allergic asthma. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Clinic for children, mites and the one who cannot eat. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Letters for school, canteen and the plane. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Anaphylaxis, on-call and owning the vaccine. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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

IS WORK OVER?

21%

#439 / 633

Network technician

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
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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