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?

30%

#42 / 103

Hotel receptionist

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
Greet, register, and assign rooms to guests of hotels or motels. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Issue room keys and escort instructions to bellhops. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Verify customers' credit, and establish how the customer will pay for the accommodation. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Keep records of room availability and guests' accounts, manually or using computers. Estimate No public source pins this saving. It is an estimate of the method.	7%	55%	+3.9
Make and confirm reservations. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Review accounts and charges with guests during the check out process. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Answer inquiries pertaining to hotel services, guest registration, and travel directions, or make recommendations regarding shopping, dining, or entertainment. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Compute bills, collect payments, and make change for guests. 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.	47%	28%	+13.2
Total	100%		30%

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