79
/100

SOC 41-2011

Cashiers

High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

79/100

High Risk

US Employment

๐Ÿ‘ฅ

3,148,030

Total workers

Median Wage

๐Ÿ’ฐ

$31K

$23K โ€“ $38K

Projected Growth

๐Ÿ“ˆ

-9.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

61/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Cashiers face a risk score of 79/100 โ€” 35 points above the national average of 44. With 61/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $31K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 79/100, Cashiers faces significant automation pressure. Key threats include chatbot displacement of customer-facing interactions and large language model automation of analysis tasks. The 3,148,030 Americans in this role should actively develop skills in reading customer emotional cues and adapting approach and negotiating bespoke deals with multiple stakeholders to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Cashiers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Chatbot displacement of customer-facing interactions

2

Large language model automation of analysis tasks

3

AI summarization replacing manual report compilation

4

Self-checkout and cashierless store technology

5

AI-powered product recommendation engines

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Reading customer emotional cues and adapting approach

โœ“

Negotiating bespoke deals with multiple stakeholders

โœ“

Consultative selling for complex or high-value products

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Receive payment by cash, check, credit cards, vouchers, or automatic debits.

โ€ข

Greet customers entering establishments.

โ€ข

Issue receipts, refunds, credits, or change due to customers.

โ€ข

Assist customers by providing information and resolving their complaints.

โ€ข

Monitor checkout stations to ensure they have adequate cash available and are staffed appropriately.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Point of sale POS software

โ€ข

Data base user interface and query software

โ€ข

Medical software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Sales and Marketing

โ€ข

Administration and Management

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$31K
$-15K

National avg: $46K

Risk Score79/100
+35

National avg: 44/100

GenAI Exposure61/100
+23

National avg: 38/100

Projected Growth-9.9%
-13.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Education Administrators, All Other21$89K61%
Supervisors of Office and Administrative Support Workers23$66K57%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K56%