How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately 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 44.1 to 68.1
Physical / roboticsrange 6.6 to 30.6
When the change is likely
Largely unaffectedlocal demand growing
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
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Pivot toward Project Management Specialists
It is skill-adjacent and less exposed (40.0 vs 56). A lateral move now beats a forced one later.
4
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.
5
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
Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.
50.0
Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems.
100.0
Review project plans to plan and coordinate project activity.
50.0
Assign and review the work of systems analysts, programmers, and other computer-related workers.
50.0
Provide users with technical support for computer problems.
50.0
Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery.
50.0
Recruit, hire, train and supervise staff, or participate in staffing decisions.
100.0
Stay abreast of advances in technology.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems.
Task: Recruit, hire, train and supervise staff, or participate in staffing decisions.
Local demand is growing
Lower-risk adjacent roles
Project Management Specialists
40.0
Software Developers
44.7
Information Technology Project Managers
45.2
Computer Systems Analysts
47.1
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Computer and Information Systems 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 56.1, robotics 18.6.
The timeline comes from the higher axis (56.1), shifted for local demand (growing), 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.