Automation index

Can AI do the work of a Barista?

Today an AI or a robot can barely cover part of a shift. Pace, the physical space, and dealing with people still are the job.

It does not measure how many roles are at risk.

Task comparison

IS WORK OVER?

28%

AI or a robot can already do 28% of this job.

#52 / 103

Barista

Score = Σ (weight × saving). Weight is our estimate from frequency, not a time share published by O*NET. Saving is separate.

Weights are our estimate from O*NET frequency (FT). O*NET does not publish % of the week.

Task	Share	AI	Adds
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas. Estimate No public source pins this saving. It is an estimate of the method.	9%	28%	+2.5
Receive and process customer payments. Estimate No public source pins this saving. It is an estimate of the method.	8%	28%	+2.2
Take customer orders and convey them to other employees for preparation. Estimate No public source pins this saving. It is an estimate of the method.	8%	28%	+2.2
Describe menu items to customers, or suggest products that might appeal to them. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Serve prepared foods, such as muffins, biscotti, or bagels. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Prepare or serve menu items, such as sandwiches or salads. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Clean or sanitize work areas, utensils, or equipment. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Clean service or seating areas. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Other less frequent tasks (weight estimated from frequency). Estimate No public source pins this saving. It is an estimate of the method.	42%	28%	+11.8
Total	100%		28%

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

IS WORK OVER?

18%

#94 / 103

Lighting technician

Score = Σ (weight × saving). Weight is our estimate from frequency, not a time share published by O*NET. Saving is separate.

Weights are our estimate from O*NET frequency (FT). O*NET does not publish % of the week.

Task	Share	AI	Adds
Plot and programming Estimate No public source pins this saving. It is an estimate of the method.	25%	35%	+8.8
Rig and focus Estimate No public source pins this saving. It is an estimate of the method.	50%	12%	+6
The show Estimate No public source pins this saving. It is an estimate of the method.	15%	15%	+2.3
Incidents Estimate No public source pins this saving. It is an estimate of the method.	10%	12%	+1.2
Total	100%		18%

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