Will AI replace First-Line Supervisors of Retail Sales Workers?
Work in First-Line Supervisors of Retail Sales Workers sits in the in-between: AI reaches some of it (~49% in theory) but is only measured doing about 26% today — part human, part machine.
O*NET-SOC 41-1011
How your 16 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 (~49%). By late 2025, real-world AI use had reached about 26% 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.
The signals here line up
Theoretical reach (~49%), real-world use (~26%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- Plan and prepare work schedules and keep records of employees' work schedules and time cards.
- Provide customer service by greeting and assisting customers and responding to customer inquiries and complaints.
- Direct and supervise employees engaged in sales, inventory-taking, reconciling cash receipts, or in performing services for customers.
- Examine merchandise to ensure that it is correctly priced and displayed and that it functions as advertised.
- Monitor sales activities to ensure that customers receive satisfactory service and quality goods.
- Instruct staff on how to handle difficult and complicated sales.
- Assign employees to specific duties.
- Keep records of purchases, sales, and requisitions.
- Review inventory and sales records to prepare reports for management and budget departments.
- Inventory stock and reorder when inventory drops to a specified level.
- Establish and implement policies, goals, objectives, and procedures for the department.
- Examine products purchased for resale or received for storage to assess the condition of each product or item.
- Estimate consumer demand and determine the types and amounts of goods to be sold.
- Confer with company officials to develop methods and procedures to increase sales, expand markets, and promote business.
- Perform work activities of subordinates, such as cleaning and organizing shelves and displays and selling merchandise.
- Enforce safety, health, and security rules.
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.