Will AI replace First-Line Supervisors of Office and Administrative Support Workers?
Work in First-Line Supervisors of Office and Administrative Support Workers sits in the in-between: AI reaches some of it (~49% in theory) but is only measured doing about 19% today — part human, part machine.
O*NET-SOC 43-1011
How your 19 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 19% of its task activity (growing but still limited). 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 (~19%) 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 19 tasks, ratedBased on real task-level AI scores — click to collapse
- Interpret and communicate work procedures and company policies to staff.
- Compute figures such as balances, totals, or commissions.
- Supervise the work of office, administrative, or customer service employees to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems.
- Resolve customer complaints or answer customers' questions regarding policies and procedures.
- Provide employees with guidance in handling difficult or complex problems or in resolving escalated complaints or disputes.
- Review records or reports pertaining to activities such as production, payroll, or shipping to verify details, monitor work activities, or evaluate performance.
- Prepare and issue work schedules, deadlines, and duty assignments for office or administrative staff.
- Recruit, interview, and select employees.
- Evaluate employees' job performance and conformance to regulations and recommend appropriate personnel action.
- Train or instruct employees in job duties or company policies or arrange for training to be provided.
- Research, compile, and prepare reports, manuals, correspondence, or other information required by management or governmental agencies.
- Implement corporate or departmental policies, procedures, and service standards in conjunction with management.
- Coordinate activities with other supervisory personnel or with other work units or departments.
- Make recommendations to management concerning such issues as staffing decisions or procedural changes.
- Develop or update procedures, policies, or standards.
- Maintain records pertaining to inventory, personnel, orders, supplies, or machine maintenance.
- Consult with managers or other personnel to resolve problems in areas such as equipment performance, output quality, or work schedules.
- Discuss job performance problems with employees to identify causes and issues and to work on resolving problems.
- Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work.
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.