Automation index

How much of a Cashier’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?

30%

AI can already do 30% of this job.

#48 / 623

Cashier

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
Receive payment by cash, check, credit cards, vouchers, or automatic debits. Estimate No public source provides a precise figure. This is our estimate.	9%	28%	+2.5
Issue receipts, refunds, credits, or change due to customers. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Greet customers entering establishments. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Answer incoming phone calls. Estimate No public source provides a precise figure. This is our estimate.	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 provides a precise figure. This is our estimate.	6%	28%	+1.7
Compute and record totals of transactions. Estimate No public source provides a precise figure. This is our estimate.	6%	55%	+3.3
Request information or assistance, using paging systems. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Answer customers' questions, and provide information on procedures or policies. Estimate No public source provides a precise figure. This is our estimate.	5%	28%	+1.4
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

IS WORK OVER?

51%

#2 / 623

Financial analyst

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
Models and close Estimate No public source provides a precise figure. This is our estimate.	35%	70%	+24.5
Variants and memos Estimate No public source provides a precise figure. This is our estimate.	25%	65%	+16.3
Assumption judgment Estimate No public source provides a precise figure. This is our estimate.	25%	30%	+7.5
Committee and explanation Estimate No public source provides a precise figure. This is our estimate.	15%	20%	+3
Total	100%		51%

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