IS WORK OVER?

Automation index

How much of a Museum curator’s job can AI already do?

An inventory and a wall text come earlier. What goes on show, and not damaging the piece, do not.

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

Task comparison

Museum curator

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
Inventory, catalogue and write wall texts.
Estimate

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

18%40%+7.2
Curate, select and negotiate loans.
Estimate

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

16%22%+3.5
Install, lighting and preventive conservation.
Estimate

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

16%18%+2.9
Research, publications and dossiers.
Estimate

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

16%28%+4.5
Public, tours and the board.
Estimate

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

18%16%+2.9
Not losing a piece or a wrong attribution.
Estimate

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

16%14%+2.2
Total100%23%

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

Skills and activities

  • Inventory, catalogue and write wall texts
  • Curate, select and negotiate loans
  • Research, publications and dossiers
  • Public, tours and the board
  • Not losing a piece or a wrong attribution
  • conservador de museo
  • curator
  • comisario de exposicion

Sources for this job· O*NET 25-4012.00· ESCO/ISCO 2621

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

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