Automation index

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

Reading an ECG and a first report come earlier. Deciding on a catheter and talking to the family 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.

#290 / 633

Cardiologist

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 ECG, echo and tests and write the report. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Clinic, auscultation and deciding the plan. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Procedures: catheter, pacemaker, cardioversion. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Explain risk, consent and follow-up. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
On-call, consults and ward rounds. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Clinical meeting, team and owning the diagnosis. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		23%

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

IS WORK OVER?

27%

#162 / 633

Materials 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
Tests, metallography and the spec. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, heat treatment and the part that fails spec. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Material choice, corrosion and fatigue. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supplier, certificates and the doubtful batch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The field failure and the root cause. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not fail, and not swapping the material blind. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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