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Will AI replace Protective Service Workers, All Other?

All protective service workers not listed separately. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 33-9099.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
11%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
11%Automatable
Automatable11%
Augmentable49%
Hard to automate40%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Customer-Facing
Front line / Support
Modeled pay midpoint$
$79,700/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
✦Human empathy and real-time de-escalation30%
✦Physical presence and relationship trust26%
◇Organize role-specific information and routine work21%
⚙Prepare standard outputs and records12%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with organize role-specific information and routine work.
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in human empathy and real-time de-escalation.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Protective Service Workers, All Other.
02>AI can help with: Organize role-specific information and routine work.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Human empathy and real-time de-escalation.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 11% is estimated task exposure—not a 11% chance of losing the job.
What AI can do
Organize role-specific information and routine workLOW MATCH
Prepare standard outputs and recordsLOW MATCH
How estimates work →
Your human moat
◆

Human empathy and real-time de-escalation

HIGH MOAT

Combined with physical presence and relationship trust, this keeps a human in the loop.

Strength9.8
Similar-role comparison
RoleRisk
Protective Service Workers, All Other11%
Mental Health Counselors11%
Fire Inspectors and Investigators10%
First-Line Supervisors of Gambling Services Workers12%
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Why this score?

✓The model evaluates 2 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is human empathy and real-time de-escalation.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Mental Health Counselors · 11% exposureFire Inspectors and Investigators · 10% exposureFirst-Line Supervisors of Gambling Services Workers · 12% exposure