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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Retail Salespersons are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Retail sales is "Somewhat Resilient" because AI is already reshaping real parts of the job — like checkout processes and product information searches — even as the most human moments, like helping a confused customer find the right product or resolving a tricky complaint, still need a person in the room. The honest reality is that the Bureau of Labor Statistics projects retail trade will be one of the sectors losing jobs over the next decade, so the pressure is real and worth taking seriously.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Retail sales is "Somewhat Resilient" because AI is already reshaping real parts of the job — like checkout processes and product information searches — even as the most human moments, like helping a confused customer find the right product or resolving a tricky complaint, still need a person in the room. The honest reality is that the Bureau of Labor Statistics projects retail trade will be one of the sectors losing jobs over the next decade, so the pressure is real and worth taking seriously.
Read full analysisAnalysis of Current AI Resilience
Retail Salespersons
Updated Quarterly • Last Update: 5/14/2026

If you're working a retail job right now, here's the honest picture: AI is already changing parts of your role, but most stores are using it to help associates, not erase them. Walmart introduced an AI agent for store associates, and Lowe's launched Mylow Companion, an AI assistant that helps store workers answer questions. Ace Hardware just rolled out a similar tool called "Hey ARMA." As one Ace executive put it, the goal is to give associates information so they can "spend less time searching for answers and more time engaging with customers" [1].
On the cashier side, AI-driven computer vision is being used at self-checkout lanes to spot missed scans and flag mistakes for associates to verify [2], automating part of the payment-handling task. At NRF's Big Show this year, executives stressed that AI is collaborating with — not replacing — humans, though it is changing the work companies need from employees [1]. Greeting customers, demonstrating products, and resolving tricky problems still need a human — those are the "judgment" tasks AI struggles with.

Adoption is moving fast for back-office and checkout tasks, but slower for the human-facing parts. BCG's microeconomic model estimates that 50% to 55% of US jobs will be reshaped by AI over the next two to three years, while full job substitution will be slower, with 10–15% of jobs potentially eliminated in five-plus years [3] [3]. Retail is feeling this acutely: the Bureau of Labor Statistics projects that four sectors will lose jobs over the decade, with the bulk concentrated in retail trade [4].
Pushing adoption forward are low implementation costs (most tools run on existing store tablets) and shrink reduction at self-checkout. Slowing it down: customer pushback against self-checkout, theft concerns, and a growing view that human associates create the value AI can't. As The Robin Report argues, the store associate of the future could function less like a task executor and more like an interpreter — someone who helps customers navigate choices and connect products to real needs [5].
Encouragingly, Walmart announced it is providing free AI training to its 1.6 million-person workforce through a Google partnership rather than slashing jobs [6]. The skills that make you irreplaceable — empathy, problem-solving, product expertise — are exactly what employers say they need more of.

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They help customers find and buy products by answering questions, offering advice, and handling payments.
Median Wage
$34,580
Jobs (2024)
3,936,700
Growth (2024-34)
-0.5%
Annual Openings
555,800
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Sell or arrange for delivery, insurance, financing, or service contracts for merchandise.
Clean shelves, counters, and tables.
Demonstrate use or operation of merchandise.
Help customers try on or fit merchandise.
Greet customers and ascertain what each customer wants or needs.
Recommend, select, and help locate or obtain merchandise based on customer needs and desires.
Watch for and recognize security risks and thefts and know how to prevent or handle these situations.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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