Automation index

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

Training a baseline and a notebook is fast. Shipping it, watching drift, and owning the miss is not.

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

Task comparison

IS WORK OVER?

29%

AI can already do 29% of this job.

#64 / 623

ML 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
Train models, features and notebooks. Estimate No public source provides a precise figure. This is our estimate.	22%	48%	+10.6
Evaluate, document and compare runs. Estimate No public source provides a precise figure. This is our estimate.	18%	42%	+7.6
Deploy, monitor and retrain. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Talk to product about what a good error is. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
Dirty data, bias and model limits. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
On-call, incidents and rollback. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		29%

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

IS WORK OVER?

23%

#307 / 623

Nephrologist

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 labs, clearance and the sediment. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Kidney clinic, blood pressure and adherence. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Dialysis prescription, immunosuppression and anaemia. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Place or watch catheters and the vascular access. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Ward, consult and the patient who crashes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Transplant list and owning the filtration. 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