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?

18%

#94 / 103

Lighting technician

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
Plot and programming Estimate No public source pins this saving. It is an estimate of the method.	25%	35%	+8.8
Rig and focus Estimate No public source pins this saving. It is an estimate of the method.	50%	12%	+6
The show Estimate No public source pins this saving. It is an estimate of the method.	15%	15%	+2.3
Incidents Estimate No public source pins this saving. It is an estimate of the method.	10%	12%	+1.2
Total	100%		18%

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