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

IS WORK OVER?

26%

AI can already do 26% of this job.

#202 / 633

Cultural manager

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
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
Total	100%		26%

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

IS WORK OVER?

31%

#33 / 633

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

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