Administrative Services Manager
| Median wage (USD) | 114130 |
|---|---|
| Projected employment growth (%) | 5 |
| AI exposure (%) | 50 |
| Maximum exposure (%) | 74 |
| Source | eloundou |
| What AI changes in this occupation | Operational reports, budgets, records and payroll are automated Internal process analysis and planning become AI-assisted Team supervision, arbitration and vendor relations remain human |
| Key skills | Operations management · budgets and procurement · team supervision · compliance |
| Courses to get ahead | AI for Everyone (DeepLearning.AI) · Coursera · 1-2 sem. · 88 · You spot where AI saves time on reporting and process analysis — and where it is not enough. Introduction to Operations Management (Wharton) · Coursera · 4 sem. · 87 · You move from budget tracking to process analysis: AI compiles, you decide. Excel Skills for Business (Macquarie) · Coursera · 6 sem. · 86 · You build the dashboards and budgets that AI feeds but you control. Leading Teams (Michigan) · Coursera · 4 sem. · 88 Foundations of Project Management (Google) · Coursera · 4 sem. · 86 Generative AI for Business · Coursera · 3 sem. · 85 |
| Occupations to pivot toward | Facilities Manager · 106660 · 5 · 27 HR Manager · 149280 · 6 · 45 Management Analyst · 101860 · 10 · 50 |
| Skills to acquire for the pivot | Exposure stays moderate (50%) for a management role: reports, budgets, records, payroll and process analysis can be delegated to AI, but staff supervision, arbitration and vendor relationships remain the core of the job. BLS growth is +5% from 2025 to 2035 (faster than average), with about 36,100 openings a year for the group: BLS expects sustained demand as organizations look to streamline their support services. The median salary ($114,130, May 2025) is that of the 'Administrative Services Managers' profile (SOC 11-3012.00), separate from 'Facilities Managers' ($106,660): BLS publishes both on the same page and shows $110,500 for the combined group — the value specific to code 11-3012.00 is the one kept here. |
| GPT-4 exposure — beta / zeta (%) | 39 · 70 |