IS WORK OVER?

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

Prompt engineer

Where the time goes

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.

TaskShareAIPoints
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
Total100%34%

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

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

Colourist

Where the time goes

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.

TaskShareAIPoints
Look, stills and the reference.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Session, nodes and the hard shot.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Skin, sky and not eating the set.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Delivery, HDR and the one that misses in the theatre.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The director, the ego and not loading the orange.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Skin holds, and the look does not lie.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

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

Skills and activities

  • looks
  • nodes
  • skin
  • HDR
  • stills
  • the colour bay
  • hard shots
  • look references

Sources for this job· O*NET 27-4032.00· ESCO/ISCO 3521

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