Automation index

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

A prompt and an eval come earlier. Knowing when the model lies, and what must not be automated, do not.

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

Task comparison

IS WORK OVER?

34%

AI can already do 34% of this job.

#21 / 623

Prompt 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
Design prompts, tools and chains. Estimate No public source provides a precise figure. This is our estimate.	24%	58%	+13.9
Evals, datasets and regressions. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Integrate with product and safety limits. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Talk to the business about a good output. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Watch hallucinations, bias and cost. Estimate No public source provides a precise figure. This is our estimate.	14%	20%	+2.8
Decide what the model gets, and what it does not. Estimate No public source provides a precise figure. This is our estimate.	12%	16%	+1.9
Total	100%		34%

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

IS WORK OVER?

28%

#109 / 623

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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