O*NET: Logging Equipment Operators·45-4022.00
The Verdict:Logging demands maneuvering heavy machines through dense forests, steep slopes, mud, and fallen trees -- conditions no robot handles today. AI aids measurements and reports, but core extraction stays human-driven amid nature's chaos. Evolving remote tools enhance safety without displacing operators; steady wood demand supports the role long-term.
Score tiers
How much of this role's daily work remains beyond AI and robotic automation.
The degree to which this job needs a human present — hands-on, in the field, or in the room.
How important the unique human edge is — for trust, accountability, or judgment.
How strong the legal requirement is for a human in this job (by law, licensing, or credentials).
How far AI remains from performing this role's core functions.
The volume of jobs in this field being eliminated by AI or automation right now.
Median annual wage from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), May 2024 release.
Projected change in total number of jobs (not salary) from 2024–2034. Source: Bureau of Labor Statistics Employment Projections.
Percentage of this role's analyzed tasks that AI can handle autonomously or nearly so. 1 of 10 tasks are classified as AI-exposed.
This role's core work is hard to automate.
6 of 10 tasks require human judgment, presence, or trust. The 30% that are AI-leverage offer an edge — professionals who learn these tools will outperform those who don't.
Tasks AI can do autonomously or nearly so
Master these tools — humans who do outperform those who don't
Tasks requiring trust, presence, or novel judgment
Logging Equipment Operator lands in Stable, Lower Pay