How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 15.3 to 39.3
Physical / roboticsrange 22.0 to 46.0
When the change is likely
Largely unaffectedlocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
3
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Monitor the facility to ensure that it remains safe, secure, and well-maintained.
100.0
Oversee the maintenance and repair of machinery, equipment, and electrical and mechanical systems.
100.0
Oversee construction and renovation projects to improve efficiency and to ensure that facilities meet environmental, health, and security standards, and comply with government regulations.
100.0
Plan, administer, and control budgets for contracts, equipment, and supplies.
50.0
Participate in architectural and engineering planning and design, including space and installation management.
50.0
Set goals and deadlines for the department.
50.0
Conduct classes to teach procedures to staff.
50.0
Prepare and review operational reports and schedules to ensure accuracy and efficiency.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Monitor the facility to ensure that it remains safe, secure, and well-maintained.
Task: Oversee the maintenance and repair of machinery, equipment, and electrical and mechanical systems.
How this score is calculated
Map Facilities Managers to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 27.3, robotics 34.0.
The timeline comes from the higher axis (34.0), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.