# Will logging equipment operators be replaced by AI? Updated October 2026 Logging equipment operators score 17 out of 100 for AI exposure. 83% of their task time needs a person. AI can do the other 17%. - **17%** AI can do it - **83%** Needs a person Low exposure Lower than 85% of the 923 jobs we scored. ## Task by task We graded 9 tasks, most exposed first. AI can do 2 of them, helps with 0 and leaves 7 to people. | Task | AI exposure | | --- | --- | | Fill out required job or shift report forms. Shift report forms are routine text and data entry. | 72% AI can do it | | Calculate total board feet, cordage, or other wood measurement units, using conversion tables. Board foot and cord calculations from tables are routine computation. | 70% AI can do it | | Grade logs according to characteristics such as knot size and straightness, and according to established industry or company standards. Visual log grading needs physical access; AI could only assist. | 15% Needs a person | | Inspect equipment for safety prior to use, and perform necessary basic maintenance tasks. Physical equipment inspection and repairs need hands on the machine. | 12% Needs a person | | Drive tractors for building or repairing logging and skid roads. Building and repairing skid roads is hands on earthmoving. | 6% Needs a person | ## How logging equipment operators compare All jobs (923) Farming, fishing and forestry (12) The dark line is **logging equipment operators, at 17**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 20 for farming, fishing and forestry. ## Pay and outlook in the US Median pay $49,740 a year, May 2025 People employed 21,060 in the US, May 2025 Projected change in jobs \-3.8% from 2024 to 2034 ## Skills to build - Run BCS Woodlands Systems The Logger Tracker for shift data - Log board foot and cord totals in TradeTec TallyWorks Logs - Inspect and service the machine before each shift - Grade logs by knot size and sweep against company specs - Build and repair skid roads with a dozer blade ## Safer roles nearby 5 related jobs with lower scores. - [Heavy equipment operators15 out of 100](https://www.aigentcy.com/ai-exposure/heavy-equipment-operators/) - [Continuous mining machine operators11 out of 100](https://www.aigentcy.com/ai-exposure/continuous-mining-machine-operators/) - [Loading machine operators12 out of 100](https://www.aigentcy.com/ai-exposure/loading-machine-operators/) - [Excavator operators15 out of 100](https://www.aigentcy.com/ai-exposure/excavator-operators/) - [Hoist operators13 out of 100](https://www.aigentcy.com/ai-exposure/hoist-operators/) ## Questions about logging equipment operators and AI Will AI replace logging equipment operators? Partly. About 2 in 10 of a logging equipment operator's working hours go to tasks AI can already do, mostly filling out shift report forms and calculating board feet or cords from conversion tables. Running the machine, grading logs by eye, and keeping the equipment safe stay with people because they need physical presence in the field. Which tasks of logging equipment operators is AI taking over? Shift report forms and wood measurement math are the most exposed, with exposure scores of 72 and 70. Both are routine text entry and table-based computation, so software such as TradeTec TallyWorks TimeTracker can take over that data work once the operator enters the raw numbers. Which tasks of logging equipment operators stay human? Driving skidders, operating hydraulic clamps, and building skid roads all score 6 or lower on exposure. Grading logs by knot size and straightness scores 15, because the grader needs physical access to each log, and AI could only assist with the paperwork around it. How can logging equipment operators stay valuable as AI takes over paperwork? Spend the time AI saves on hands-on work that needs a person in the field. Check machine safety and basic maintenance before each shift, grade logs against company standards, and drive skid roads with care. Operators who also review Logger Tracker and TallyWorks data for errors keep their logs accurate. ## Related jobs - [Forklift operators10 out of 100](https://www.aigentcy.com/ai-exposure/forklift-operators/) - [Agricultural equipment operators12 out of 100](https://www.aigentcy.com/ai-exposure/agricultural-equipment-operators/) - [Fallers12 out of 100](https://www.aigentcy.com/ai-exposure/fallers/) - [Crane operators19 out of 100](https://www.aigentcy.com/ai-exposure/crane-operators/) ## Next steps for logging equipment operators - ### Check your job Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) - ### Estimate team savings The score is per person. Add headcount and salary to see the hours AI can take on in a team of logging equipment operators, and what they cost. [Estimate what AI saves a team of logging equipment operators](https://www.aigentcy.com/tools/team-ai-audit/?role=logging-equipment-operators) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Roustabouts score lowest, at 6.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 job groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Sources and licences Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.