Automation index

Can AI do the work of a Waiter?

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 is not an estimate of how many people will lose their work.

Task comparison

IS WORK OVER?

28%

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

#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

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