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 / 683

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?

27%

#206 / 683

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. 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