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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: 4/23/2026
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.
Med
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%).
Med
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
First-Line Supervisors of Retail Sales Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of a First-Line Supervisor of Retail Sales Workers is labeled as "Mostly Resilient" because, while AI tools can help with routine tasks like inventory tracking and staff scheduling, they can't replace the essential human skills needed for decision-making, leadership, and customer relations. Supervisors still play a crucial role in setting goals, strategizing, and resolving complex issues that require judgment and empathy.
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 mostly resilient
The career of a First-Line Supervisor of Retail Sales Workers is labeled as "Mostly Resilient" because, while AI tools can help with routine tasks like inventory tracking and staff scheduling, they can't replace the essential human skills needed for decision-making, leadership, and customer relations. Supervisors still play a crucial role in setting goals, strategizing, and resolving complex issues that require judgment and empathy.
Read full analysisAnalysis of Current AI Resilience
Retail Sales Supervisor
Updated Quarterly • Last Update: 5/14/2026

If you're worried about AI taking over jobs like store supervisor, here's some calming news: most of what's happening right now is augmentation — AI helping supervisors do their jobs better — not full replacement. At Macy's, for example, store leadership teams use AI to pull together and summarize their reporting, so managers can spend more time on the sales floor with customers and colleagues instead of stuck behind a desk. That directly maps to the "review inventory and sales records" task in this job.
AI-powered retail analytics tools now let managers ask natural-language questions of their data, with the software engaging users through questions, summaries, and recommendations grounded in their own datasets, replacing hours of dashboard digging. According to a National Retail Federation survey of 56 U.S. retail AI leaders [1], IT coding, office productivity tools, and cybersecurity/fraud prevention lead current AI implementation, with supply chain operations and marketing emerging as next priorities. The big-picture takeaway from the new ICSC and McKinsey "Shopping in the Age of AI" report [2] is hopeful for supervisors: "AI isn't eliminating the store—it's raising the bar for what it needs to deliver".
Human skills like coaching staff, calming an upset customer, enforcing safety, and judging product quality on the shelf are still firmly in human hands.

Adoption is moving fast but unevenly. Gallup's April 2026 survey [3] found that half of employed U.S. adults now use AI at work, and 41% of employees say their organization has integrated AI tools — though employees in AI-adopting workplaces report more disruption and both hiring and layoffs. Cost is still a brake: the NRF found [1] that 77% of retailers spend 5% or less of their tech budget on AI, though 39% expect AI to exceed 10% of tech spend within three years, and cost (57%), model accuracy (57%) and workforce expertise gaps (55%) top internal concerns, while 71% worry about consumer class actions and IP litigation.
On the speed-up side, Retail Insider reports [4] that 38% of surveyed Canadian retailers have already deployed generative AI and another 39% plan to within six months, with 81% of retail executives agreeing generative AI is essential. Social acceptance is mixed — Gallup notes [3] that 18% of U.S. employees say it is very or somewhat likely their job will be eliminated within five years due to AI, rising to 23% in AI-adopting workplaces. For retail supervisors specifically, the human-centered parts of the role — leading people, enforcing safety, and building customer trust — are exactly what retail leaders keep saying AI cannot replace, which is genuinely good news if you're considering this career.

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They oversee retail workers, making sure the store runs smoothly by managing staff, helping customers, and ensuring sales goals are met.
Median Wage
$47,320
Jobs (2024)
1,432,600
Growth (2024-34)
-5.0%
Annual Openings
125,100
Education
High school diploma or equivalent
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Establish and implement policies, goals, objectives, and procedures for their department.
Examine products purchased for resale or received for storage to assess the condition of each product or item.
Perform work activities of subordinates, such as cleaning and organizing shelves and displays and selling merchandise.
Direct and supervise employees engaged in sales, inventory-taking, reconciling cash receipts, or in performing services for customers.
Plan budgets and authorize payments and merchandise returns.
Monitor sales activities to ensure that customers receive satisfactory service and quality goods.
Instruct staff on how to handle difficult and complicated sales.
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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