Very High AI Risk Declining

Cashiers

SOC Code: 41-2011

Cashiers carries a 61% AI exposure score (Very High automation risk), with a median annual wage of $31,190 and -9.9% projected employment growth from 2024 to 2034 (BLS), affecting approximately 3,157,200 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
61% Very High
High exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-9.9%
Bottom 10% growth
2024–2034 (BLS)
-313,600 jobs
Median Annual Wage
$31,190
Bottom 10% pay
BLS May 2024
How wage figures are sourced →
The verdict

At 61% AI exposure, Cashiers sits 24 points above the 37.2% average across 832 U.S. occupations - more exposed than 95% of them. Most of its core tasks still require human judgment.

61%
AI exposure
Top 5%
most exposed
-9.9%
Job growth 2024–34
$31,190
Median wage
F

Career outlook score

4/100

Cashiers, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage F $31,190

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth F -9.9%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 61% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Cashiers in the Very High band.

Credential × growth standing

Open entry on a declining BLS line

Typical entry is No credential (109/832) while growth is Declining (111/832). This is the crowded high-risk corner of the map - automation and headcount pressure compound without a degree moat.

Where Cashiers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Cashiers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

61% Higher than most higher than 95% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Cashiers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Cashiers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk27.4%36.2%45%53.8%62.6%-10.6%-6.8%-3.1%0.6%4.4%AI exposure (%) →Projected growth (%) →Retail salespersons, AI exposure (%) →: 45% · Projected growth (%) →: -0.5%Retail salespersonsCashiers, AI exposure (%) →: 61% · Projected growth (%) →: -9.9%CashiersFirst-line superviso, AI exposure (%) →: 45% · Projected growth (%) →: -5%First-line supervisoSales representative, AI exposure (%) →: 39% · Projected growth (%) →: 0.3%Sales representativeSales representative, AI exposure (%) →: 38% · Projected growth (%) →: 3.1%Sales representativeInsurance sales agen, AI exposure (%) →: 40% · Projected growth (%) →: 3.7%Insurance sales agenSecurities, AI exposure (%) →: 53% · Projected growth (%) →: 3.3%SecuritiesReal estate sales ag, AI exposure (%) →: 29% · Projected growth (%) →: 3.1%Real estate sales agCounter, AI exposure (%) →: 42% · Projected growth (%) →: 3.2%CounterFirst-line superviso, AI exposure (%) →: 45% · Projected growth (%) →: 0%First-line supervisoSales representative, AI exposure (%) →: 51% · Projected growth (%) →: 1.9%Sales representative

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

3,157,200
Employment 2024
2,843,600
Projected 2034
-9.9%
Change (%)
-313,600
Change (jobs)

Where This Score Comes From

Cashiers's Very High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 41-2011) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Cashiers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Cashiers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
No formal educational credential
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Receive payment by cash, check, credit cards, vouchers, or automatic debits.
  2. 2. Greet customers entering establishments.
  3. 3. Calculate total payments received during a time period, and reconcile this with total sales.
  4. 4. Issue receipts, refunds, credits, or change due to customers.
  5. 5. Count money in cash drawers at the beginning of shifts to ensure that amounts are correct and that there is adequate change.
  6. 6. Issue trading stamps, and redeem food stamps and coupons.
  7. 7. Assist customers by providing information and resolving their complaints.
  8. 8. Monitor checkout stations to ensure they have adequate cash available and are staffed appropriately.
  9. 9. Establish or identify prices of goods, services, or admission, and tabulate bills, using calculators, cash registers, or optical price scanners.
  10. 10. Post charges against guests' or patients' accounts.

Key Skills Required

  • Service Orientation
  • Active Listening
  • Speaking
  • Social Perceptiveness
  • Reading Comprehension
  • Critical Thinking
  • Coordination
  • Mathematics
  • Monitoring
  • Time Management

Knowledge Areas

  • Customer and Personal Service
  • English Language
  • Sales and Marketing
  • Administration and Management
  • Mathematics
  • Administrative
  • Computers and Electronics
  • Public Safety and Security
  • Law and Government
  • Economics and Accounting

Frequently Asked Questions

Will AI replace Cashiers?

Cashiers has an AI exposure score of 61%, indicating a very high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Cashiers?

According to BLS Employment Projections 2024-2034, Cashiers is projected to decline by 9.9% over the decade. Current employment stands at approximately 3,157,200 workers.

What skills are needed for Cashiers?

Key skills for Cashiers include Service Orientation, Active Listening, Speaking, and others. Typical entry-level education is No formal educational credential.

How much do Cashiers earn?

The median annual wage for Cashiers is $31,190, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Cashiers?

The typical entry-level education for Cashiers is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Cashiers?

Cashiers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

3.0
out of 5.0

Very High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Cashiers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (61% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (-9.9% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Cashiers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.