Automation index

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

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.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#84 / 623

Barista

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

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

IS WORK OVER?

30%

#53 / 623

Hotel receptionist

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
Greet, register, and assign rooms to guests of hotels or motels. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Issue room keys and escort instructions to bellhops. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Verify customers' credit, and establish how the customer will pay for the accommodation. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Keep records of room availability and guests' accounts, manually or using computers. Estimate No public source provides a precise figure. This is our estimate.	7%	55%	+3.9
Make and confirm reservations. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Review accounts and charges with guests during the check out process. Estimate No public source provides a precise figure. This is our estimate.	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 provides a precise figure. This is our estimate.	6%	28%	+1.7
Compute bills, collect payments, and make change for guests. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Other less frequent tasks (weight estimated from frequency). Estimate No public source provides a precise figure. This is our estimate.	47%	28%	+13.2
Total	100%		30%

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