Will AI replace Counter and Rental Clerks?
On paper, AI could touch ~53% of the work in Counter and Rental Clerks — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 41-2021
How your 15 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~53%). By late 2025, real-world AI use had reached about 20% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~53%), but real-world use is only ~20%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 15 tasks, ratedBased on real task-level AI scores — click to collapse
- Receive orders for services, such as rentals, repairs, dry cleaning, and storage.
- Provide information about rental items, such as availability, operation, or description.
- Answer telephones to provide information and receive orders.
- Prepare rental forms, obtaining customer signature and other information, such as required licenses.
- Compute charges for merchandise or services and receive payments.
- Explain rental fees, policies, and procedures.
- Advise customers on use and care of merchandise.
- Greet customers and discuss the type, quality, and quantity of merchandise sought for rental.
- Rent items, arrange for provision of services to customers, and accept returns.
- Keep records of transactions and of the number of customers entering an establishment.
- Reserve items for requested times and keep records of items rented.
- Recommend and provide advice on a wide variety of products and services.
- Inspect and adjust rental items to meet needs of customer.
- Receive, examine, and tag articles to be altered, cleaned, stored, or repaired.
- Prepare merchandise for display or for purchase or rental.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.