IS WORK OVER?

Automation index

How much of a Cultural manager’s job can AI already do?

A programme and a budget come earlier. Filling the room and paying the people who make it do not.

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

Task comparison

Cultural manager

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
Programme, fees and the venue calendar.
Estimate

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

16%44%+7
Grants, paperwork and sponsorship.
Estimate

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

16%36%+5.8
Artists, crew and the day the sound dies.
Estimate

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

18%16%+2.9
Audience, comms and what does not fill.
Estimate

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

16%28%+4.5
The councillor, the clash and soft censorship.
Estimate

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

18%18%+3.2
Pay on time, and not leaving culture in the spreadsheet.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • programme culture
  • artist fees
  • justify grants
  • fill the room
  • sponsorship
  • deal with artists
  • cultural comms
  • venue budget

Sources for this job· O*NET 27-1029.00· ESCO/ISCO 2431

Data 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 pipelines, models and orchestration.
Estimate

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

24%50%+12
Write SQL, Spark and data tests.
Estimate

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

18%45%+8.1
Incidents, quality and lineage in production.
Estimate

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

16%22%+3.5
Talk to analysts and negotiate data contracts.
Estimate

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

16%18%+2.9
Cloud cost, permissions and PII.
Estimate

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

14%15%+2.1
Decide architecture and technical debt.
Estimate

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

12%20%+2.4
Total100%31%

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

Skills and activities

  • Design pipelines, models and orchestration
  • Write SQL, Spark and data tests
  • Cloud cost, permissions and PII
  • Decide architecture and technical debt
  • ingeniero de datos
  • data engineer
  • etl

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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