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?

20%

#452 / 623

Cycle courier

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
App, routes and the urgent job. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Pedal, traffic and not losing the parcel. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Lobby, the code and the one who will not come down. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Rain, puncture and the job that drops. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The platform, the fee and the one that does not pay time. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Deliver it whole, and not leaving it on the landing blind. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		20%

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