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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.
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%).
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%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Driver/Sales Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Driver/sales workers are labeled "Mostly Resilient" because the heart of this job — building customer relationships, solving complaints on the spot, and physically loading and delivering goods — is exactly what AI struggles to do. The boring parts, like entering orders and planning routes, are getting automated, but that actually frees workers up to spend more time on the human side of the job that customers value most.
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
Driver/sales workers are labeled "Mostly Resilient" because the heart of this job — building customer relationships, solving complaints on the spot, and physically loading and delivering goods — is exactly what AI struggles to do. The boring parts, like entering orders and planning routes, are getting automated, but that actually frees workers up to spend more time on the human side of the job that customers value most.
Read full analysisAnalysis of Current AI Resilience
Driver/Sales Workers
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly helping driver/sales workers rather than replacing them — especially with the paperwork side of the job. The National Association of Wholesaler-Distributors describes "AI voice agents" that listen silently during customer calls and automatically input order details, retrieve pricing, and update records [1] so the human can focus entirely on the customer. Big distributors are doing this in practice: US Foods added a feature to its MOXē platform that lets customers upload photos, PDFs, and even handwritten notes and convert them directly into orders, freeing sales reps to focus on prospecting instead of administrative work [2].
On the road, AI is showing up as a co-pilot rather than a replacement — Heavy Duty Trucking reports that AI is being embedded into transportation management systems and telematics to improve routing decisions, safety, truck diagnostics, and predictive maintenance [3]. A recent IFDA technology report found that 37% of foodservice distributors are now using AI for route planning and driver monitoring, alongside 56% for ecommerce and 48% for customer service and forecasting [4]. Fully driverless delivery is still rare for the last-mile work these workers do.

Adoption is fast for office tasks but slow for the driving itself. The Bureau of Labor Statistics projects employment of delivery truck drivers and driver/sales workers will grow 8% from 2024 to 2034 — much faster than average — with about 171,400 openings each year [5], partly because the work involves loading, lifting, and talking with customers that machines handle poorly. Order-entry and routing AI is cheap to plug in and pays off quickly — US Foods reported about a 2% improvement in cases per mile after deploying Descartes routing software across its network [2].
Full autonomy faces legal and economic hurdles: Fortune notes that the Self Drive Act of 2026 was only formally introduced in February to propose a unified federal framework, while the autonomous freight segment is still just $575.7 million in 2026 [6]. The takeaway for young people: the boring paperwork part of this job is shrinking, but the human skills — solving complaints, building customer relationships, and physically handling deliveries — are exactly what's keeping this career growing.

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They deliver goods to customers and help sell products by talking to clients and handling orders directly.
Median Wage
$37,130
Jobs (2024)
451,500
Growth (2024-34)
+8.8%
Annual Openings
51,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Drive trucks to deliver such items as food, medical supplies, or newspapers.
Sell food specialties, such as sandwiches and beverages, to office workers and patrons of sports events.
Maintain trucks and food-dispensing equipment and clean inside of machines that dispense food or beverages.
Listen to and resolve customers' complaints regarding products or services.
Call on prospective customers to explain company services or to solicit new business.
Record sales or delivery information on daily sales or delivery record.
Collect coins from vending machines, refill machines, and remove aged merchandise.
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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