Logging workers harvest trees that become lumber, paper and many other products. They fell, cut and move timber, often running large machines in remote and dangerous terrain. Generative AI has little to do with that work. Machines are the change that has already reshaped it.
The short answer: generative AI exposure is low, but mechanization is shrinking the workforce. The ILO's 2025 index rates forestry and related workers as not exposed with a score of 0.12. The US Bureau of Labor Statistics projects logging workers to decline 5 percent from 2025 to 2035, with about 5,000 openings a year from replacing workers. Projections are estimates, not guarantees.
How exposed logging workers are
The International Labour Organization scores occupations' tasks from 0 (cannot be automated with generative AI) to 1 (could be done without a human operator), and groups them into gradients from 1 to 4, with 4 the most exposed; below them sit minimal exposure and not exposed (ILO Working Paper 140, 2025).
| Occupation (ISCO-08) | ILO category | Mean task score (0 to 1) |
|---|---|---|
| Forestry and Related Workers | Not exposed | 0.12 |
The ILO scores groups of occupations, so this is the closest group for logging workers, not a score for the job title itself.
The ILO index measures generative AI, not robots or automated machines.
What the BLS projects
| Occupation | Projected change 2025 to 2035 | Openings a year |
|---|---|---|
| Logging workers | Decline 5% | About 5,000 |
The BLS says the mechanization of logging operations and improvements in logging equipment have increased productivity, which is expected to reduce demand for logging workers. All openings are expected to come from replacing workers who leave.
What automation is taking on
- Felling, cutting and moving timber with larger, more capable machines.
- Heavy manual labor that machinery has reduced.
- More output per worker, so fewer workers are needed.
What stays with logging workers
- Running the machines: skilled operation on steep, uneven ground.
- Safety: judging trees, weather and terrain to keep the crew safe.
- Maintenance: keeping expensive equipment running in the field.
- Checking AI help: generated maintenance or planning answers can be wrong, which NIST calls confabulation (NIST AI 600-1). See checking AI output.
How the job is changing
Each worker now runs more machine and produces more timber. The jobs that remain lean toward equipment operation and maintenance. This page is general information, not career advice.
See also will AI replace foresters?, will AI replace heavy equipment operators? and will AI replace farmers?
Pay and how to get in
The US Bureau of Labor Statistics puts the median annual pay for logging workers at $49,660 in May 2025, against $50,980 for all workers. The typical education needed to enter is: high school diploma or equivalent. See how this job compares in AI exposure by pay and AI exposure by education level.
Questions and answers
Will AI replace logging workers?
Generative AI is not the main issue. The BLS projects a 5 percent decline from 2025 to 2035 because mechanization and better equipment raise productivity.
How exposed is logging to generative AI?
The ILO rates forestry and related workers, the closest group, as not exposed with a score of 0.12.
Are there still openings?
Yes. The BLS projects about 5,000 openings a year, all from replacing workers who leave.
What skills matter most now?
Running and maintaining logging machines safely, since the BLS points to mechanization as the main change.