Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They assist customers by taking orders, answering questions, and providing rental items like cars or equipment.
This role is changing fast
The career of counter and rental clerks is labeled as "Changing fast" because many routine tasks like computing prices, taking payments, and answering basic inquiries are being automated by machines and AI systems. With self-checkout kiosks and AI-driven call centers handling more of these duties, there are fewer positions for clerks.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of counter and rental clerks is labeled as "Changing fast" because many routine tasks like computing prices, taking payments, and answering basic inquiries are being automated by machines and AI systems. With self-checkout kiosks and AI-driven call centers handling more of these duties, there are fewer positions for clerks.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Counter and Rental Clerks
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today many routine clerk tasks are already handled by machines or software. For example, computing prices and taking payments is often done by digital point-of-sale systems or self-checkout kiosks. Nearly half of retailers report converting cash register lanes to self-checkouts [1], letting computers scan items and take payments automatically.
Similarly, taking orders (for rentals or repairs) and answering phones is increasingly managed by AI-driven systems. Analysts note the “AI call center” market is booming (valued over $1B and growing ~23% annually [2]), with voice bots and chatbots handling basic inquiries. Still, studies find many customers prefer talking to a human – for instance, one report says 7 out of 10 callers want a real person on the line [2] – so current AI tools are used to assist staff rather than fully replace them.
Other tasks are partly automated. Cashier software automatically records every sale, and modern stores use sensors or cameras to count customers instead of manual tallying [3]. Some retailers have even set up AI-powered kiosks on the sales floor: these interactive machines can show product demos, recognize items by camera, answer questions, suggest add-ons, and accept payments [4] [4].
Online, AI chatbots and “shopping assistants” are helping customers research products and deals [5] [5]. However, personal tasks like greeting people face-to-face and giving friendly advice still rely on human skills. Machines can suggest products, but a person’s empathy, hands-on help, and product expertise remain important (areas where AI today has limits).

AI in the real world
Retailers adopt these tools at different speeds based on costs, labor, and customer attitudes. On one hand, the technology is widely available and can improve efficiency. Big chains are heavily investing in AI: a 2022 survey found 82% of retailers plan more tech spending, and many are adding self-checkout or contactless kiosks [1].
Research shows staff often welcome this — for example, 83% of retail workers said self-checkouts freed them to do higher-value tasks and better serve customers [1]. With many stores short-staffed and facing higher wages, companies see long-term gains in savings and convenience from automation (TIME reports firms are turning to automation to cope with a shrinking labor pool [6]). Also, consumers (especially younger ones) seem open to AI help: one study found 80% of shoppers who haven’t tried AI yet want assistance, and 55% explicitly said they’d like to use a chatbot or virtual shopping assistant [5].
On the other hand, barriers slow full AI takeover. High-tech equipment and software can be expensive to install and maintain, so smaller shops may move cautiously. Customers can also resist: for instance, one report noted that 25% of shoppers would avoid a broken self-checkout machine, and many worry about glitches or privacy if stores track them [1] [3].
People still value human service for complex advice or a friendly greeting. In fact, experts emphasize that AI should augment rather than replace people. MIT researchers note that workers using AI tools are more productive than those working alone [6].
In practice, a clerk’s role may shift toward helping customers problem-solve, building relationships, and handling unusual requests – skills where humans excel. By learning to work alongside new technology, young workers can focus on what AI can’t do (creativity, judgment, empathy) and help make technology work for everyone [6] [2].

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Median Wage
$38,540
Jobs (2024)
408,200
Growth (2024-34)
+3.2%
Annual Openings
45,900
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
Recommend and provide advice on a wide variety of products and services.
Keep records of transactions and of the number of customers entering an establishment.
Greet customers and discuss the type, quality, and quantity of merchandise sought for rental.
Allocate equipment to participants in sporting events or recreational activities.
Inspect and adjust rental items to meet needs of customer.
Prepare merchandise for display or for purchase or rental.
Receive, examine, and tag articles to be altered, cleaned, stored, or repaired.
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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