Automation index

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

A menu and a table plan come earlier. The service going out without the plate going cold do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#345 / 633

Banquet 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
Menu, plan and the timing. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Set-up, staff and the one who is late. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Service, the toast and the one without a plate. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Kitchen, the pass and not working too far ahead. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The groom, the change and not mixing allergies. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The service goes out, and the plate hot. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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

IS WORK OVER?

28%

#83 / 633

Data architect

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
Models, lineage and the catalogue. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Pipelines, quality and the data contract. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The analyst who finds nothing and the mess. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Privacy, retention and the field you cannot keep. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The business, shadow IT and not building another lake. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it gets used, and not letting raw data rot. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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