Automation index

Can AI do the work of a Cashier?

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 also does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

30%

AI or a robot can already do 30% of this job.

#37 / 103

Cashier

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
Receive payment by cash, check, credit cards, vouchers, or automatic debits. Estimate No public source pins this saving. It is an estimate of the method.	9%	28%	+2.5
Issue receipts, refunds, credits, or change due to customers. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Greet customers entering establishments. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Answer incoming phone calls. Estimate No public source pins this saving. It is an estimate of the method.	7%	28%	+2
Establish or identify prices of goods, services, or admission, and tabulate bills, using calculators, cash registers, or optical price scanners. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Compute and record totals of transactions. Estimate No public source pins this saving. It is an estimate of the method.	6%	55%	+3.3
Request information or assistance, using paging systems. Estimate No public source pins this saving. It is an estimate of the method.	6%	28%	+1.7
Answer customers' questions, and provide information on procedures or policies. 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.	47%	28%	+13.2
Total	100%		30%

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