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?

28%

#53 / 103

Waiter

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
Collect payments from customers. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Check with customers to ensure that they are enjoying their meals, and take action to correct any problems. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Remove dishes and glasses from tables or counters, and take them to kitchen for cleaning. Estimate No public source pins this saving. It is an estimate of the method.	5%	28%	+1.4
Prepare checks that itemize and total meal costs and sales taxes. Estimate No public source pins this saving. It is an estimate of the method.	5%	28%	+1.4
Clean tables or counters after patrons have finished dining. Estimate No public source pins this saving. It is an estimate of the method.	5%	28%	+1.4
Take orders from patrons for food or beverages. Estimate No public source pins this saving. It is an estimate of the method.	5%	28%	+1.4
Write patrons' food orders on order slips, memorize orders, or enter orders into computers for transmittal to kitchen staff. Estimate No public source pins this saving. It is an estimate of the method.	5%	28%	+1.4
Inform customers of daily specials. Estimate No public source pins this saving. It is an estimate of the method.	5%	28%	+1.4
Other less frequent tasks (weight estimated from frequency). Estimate No public source pins this saving. It is an estimate of the method.	58%	28%	+16.2
Total	100%		28%

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