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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%).
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
Parts Salespersons are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Parts salespersons are labeled "Somewhat Resilient" because AI is already handling a meaningful chunk of the everyday work—like catalog lookups, pricing quotes, and inventory tracking—tasks that used to take up a big portion of the job. That said, the human side of the counter isn't going away anytime soon, because helping a customer figure out the right part for their specific vehicle, building trust, and explaining trade-offs still requires real people with real knowledge.
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
Parts salespersons are labeled "Somewhat Resilient" because AI is already handling a meaningful chunk of the everyday work—like catalog lookups, pricing quotes, and inventory tracking—tasks that used to take up a big portion of the job. That said, the human side of the counter isn't going away anytime soon, because helping a customer figure out the right part for their specific vehicle, building trust, and explaining trade-offs still requires real people with real knowledge.
Read full analysisAnalysis of Current AI Resilience
Parts Salespersons
Updated Quarterly • Last Update: 5/14/2026

If you're a parts salesperson—or thinking about becoming one—AI is already changing the everyday tasks at the counter, but mostly as a helper rather than a full replacement. The biggest shift is in catalog lookup: NexaMotion Group launched an AI-powered catalog assistant that lets repair shops text for parts info, pulling from the Transend catalog to deliver real-time availability and pricing instantly, the kind of task that used to require flipping through screens and microfiche. Industry reporting confirms the trend, with AI now handling "parts counter automation, appointment booking that accounts for inventory levels, and streamlining workflows between service and parts departments" [1] at dealerships.
Trade publication Counterman explains that AI tools can predict service needs based on license plates, vehicle location and driving conditions, helping counter staff avoid chasing down information manually [2]. On the pricing side, McKinsey reports AI-driven pricing has enhanced margins by 2 to 6 percent of sales [3] in real-world aftermarket use. So far the pattern is augmentation—AI handles lookups, quotes, and inventory math while humans still talk customers through fitment and trust-building.

Adoption is moving quickly because the tools are commercially available and ROI is fast: a Spyne survey of nearly 1,200 dealership leaders found 76 percent plan to increase AI budgets in 2026 [4]. Cost pressure also matters—the BLS projects retail trade to lose the most jobs of any sector through 2034 as automation, consolidation, and e-commerce continue to weigh on sales occupations [5]. Still, full replacement is slow because vehicles are getting more complex, and Deloitte argues that retail auto parts stands "on the cusp of a workforce revolution" requiring a critical reassessment of the role humans play [6].
The good news for young workers: skills like diagnosing customer needs, building trust, and explaining trade-offs aren't easily automated—so counter pros who learn the AI tools instead of fearing them will be the ones in demand.

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They help customers find and buy the right parts for their vehicles or equipment by understanding their needs and offering suitable options.
Median Wage
$37,440
Jobs (2024)
272,100
Growth (2024-34)
+3.1%
Annual Openings
30,200
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
Manage shipments by researching shipping methods or costs and tracking packages.
Maintain and clean work and inventory areas.
Repair parts or equipment.
Mark and store parts in stockrooms according to prearranged systems.
Measure parts, using precision measuring instruments, to determine whether similar parts may be machined to required sizes.
Discuss use and features of various parts, based on knowledge of machines or equipment.
Pick up and deliver parts.
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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