AI exposure by occupation, O*NET 41-2031.00

Will AI replace Retail Salespersons?

Retail Salespersons: AI can already handle 2 of 24 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 24 tasks O*NET 30.3 lists for Retail Salespersons, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Recommend, select, and help locate or obtain merchandise based on customer needs and desires. 95 Observed Frontier 4.7
Describe merchandise and explain use, operation, and care of merchandise to customers. 93 Observed Standard 4.3
Greet customers and ascertain what each customer wants or needs. 40 Observed Efficient 4.8
Answer questions regarding the store and its merchandise. 40 Observed Efficient 4.5
Compute sales prices, total purchases, and receive and process cash or credit payment. 30 Estimated Standard 4.6
Prepare merchandise for purchase or rental. 30 Estimated Efficient 4.5
Open and close cash registers, performing tasks such as counting money, separating charge slips, coupons, and vouchers, balancing cash drawers, and making deposits. 30 Estimated Efficient 4.4
Prepare sales slips or sales contracts. 30 Estimated Efficient 4.3
Demonstrate use or operation of merchandise. 30 Estimated Standard 4.3
Ticket, arrange, and display merchandise to promote sales. 30 Estimated Efficient 4.3
Inventory stock and requisition new stock. 30 Estimated Standard 4.2
Exchange merchandise for customers and accept returns. 30 Estimated Efficient 4.2
Estimate and quote trade-in allowances. 30 Estimated Standard 4.2
Bag or package purchases and wrap gifts. 30 Estimated Efficient 4.1
Help customers try on or fit merchandise. 30 Estimated Efficient 4.1
Watch for and recognize security risks and thefts and know how to prevent or handle these situations. 30 Estimated Efficient 4.1
Sell or arrange for delivery, insurance, financing, or service contracts for merchandise. 30 Estimated Standard 4.0
Estimate quantity and cost of merchandise required, such as paint or floor covering. 30 Estimated Standard 3.8
Place special orders or call other stores to find desired items. 30 Estimated Efficient 3.7
Clean shelves, counters, and tables. 30 Estimated Efficient 3.7
Rent merchandise to customers. 30 Estimated Efficient 3.3
Maintain records related to sales. 20 Estimated Efficient 4.6
Maintain knowledge of current sales and promotions, policies regarding payment and exchanges, and security practices. 20 Estimated Efficient 4.5
Estimate cost of repair or alteration of merchandise. 20 Estimated Standard 3.2

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 4 of 24 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 20 of 24. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 95% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
3,897,860
Median annual wage
$35,410
Middle half of earners
$29,900 to $38,670
Projected change, 2024 to 2034
-0.5%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Retail Salespersons and AI

Will AI replace Retail Salespersons?

AI already handles 2 of the 24 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 36 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -0.5% from 2024 to 2034.

What is the AI exposure of Retail Salespersons?

36 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 4 of the 24 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 20 are estimated from each task's O*NET work activity.

Which Retail Salespersons tasks can AI already do?

The tasks with the highest exposure are: Recommend, select, and help locate or obtain merchandise based on customer needs and desires; Describe merchandise and explain use, operation, and care of merchandise to customers. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 95% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Retail Salespersons, and what do they earn?

3,897,860 people in the United States, with a median annual wage of $35,410 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -0.5% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Retail Salespersons. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/retail-salespersons

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