Will AI replace Logging Workers, All Other?

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

O*NET 30.3 · 45-4029.00 · modeled exposure, not guaranteed job loss

LOW TASK EXPOSURE

25%

Estimated share of representative tasks exposed to current AI capabilities.

Last updatedAugust 20, 2026

Evidence confidenceMedium

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Category#

Trades & Physical

Field & Physical

Modeled pay midpoint$

$90,500/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.

◇Organize role-specific information and routine work35%

✦Physical dexterity in unpredictable settings26%

✦Safety responsibility and on-site judgment22%

⚙Prepare standard outputs and records21%

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 physical dexterity in unpredictable settings.

6–10+ yearsdirectional confidence window

HOW AI CHANGES THIS JOBtyping the logic in plain English

01>Start with the real work done by Logging 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: Physical dexterity in unpredictable settings.

05>Likely result: AI mostly acts as a helper while the core job stays human-led.

06>Important: 25% is estimated task exposure—not a 25% 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

◆

Physical dexterity in unpredictable settings

HIGH MOAT

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength9.3

Similar-role comparison

RoleRisk

Logging Workers, All Other25%

Automotive Mechanic25%

Avionics Technicians25%

Industrial Machinery Mechanics25%

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 physical dexterity in unpredictable settings.

Research basis

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

Read ILO research →

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