Automation index

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

A serology and a DAS28 come earlier. Starting the biologic and not leaving the patient stiff 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.

#312 / 633

Rheumatologist

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 serologies, rheumatoid factor and imaging. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Examine joints and call the flare. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Biologics, steroids and methotrexate. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Inject, educate and watch side effects. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
A long clinic, pain you cannot see, and the wait. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Board, pharmacy and owning the immunosuppressant. 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