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

Oncologist

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
Read pathology, imaging and regimen protocols.
Estimate

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

16%40%+6.4
Clinic, bad news and ceiling-of-care decisions.
Estimate

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

18%14%+2.5
Prescribe, watch toxicity and adjust cycles.
Estimate

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

18%12%+2.2
Reports, consents and tumour board.
Estimate

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

16%28%+4.5
Coordinate surgery, radio and palliative care.
Estimate

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

16%22%+3.5
On-call, team and not abandoning the patient.
Estimate

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

16%16%+2.6
Total100%22%

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

Skills and activities

  • Reports, consents and tumour board
  • oncologo
  • oncologist

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

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