Short answer
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average.
AI and jobs
The Bureau of Labor Statistics places meat in its moderate AI exposure category, below the middle of the pack: some of the work overlaps with what AI can do, much of it does not. BLS projects employment to change by +5.7% over 2025–2035, against 3.5% for all occupations, with about 17,000 openings a year.
Short answer
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average.
The federal measure
The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Meat land in the moderate category: below the middle of the pack: some of the work overlaps with what AI can do, much of it does not.
Where this job sits on the BLS scale
786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each
Source: BLS Employment Projections, AI exposure categories supplemental table.
Inside the work
O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.
Physical, hands-on and person-to-person work
Routine, repeatable and screen-based work
O*NET 31.0 Database task statements, most important first.
The jobs
Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects +5.7% change in employment over the decade, against 3.5% across all occupations, and about 17,000 openings a year once retirements and career changes are counted. About 145,700 people work in the job today, at a median of $38,300 a year (BLS OEWS, May 2025).
Full meat, poultry, and fish cutter and trimmer profile: pay by state, entry route and skills
Options
Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a lower exposure category.
Production
Cut or carve stone according to diagrams and patterns.
Production
Cut, shape, and assemble wooden articles or set up and operate a variety of woodworking machines, such as power saws, jointers, and mortisers to surface, cut, or shape lumber or to fabricate parts for wood products.
Set up, operate, or tend paper goods machines that perform a variety of functions, such as converting, sawing, corrugating, banding, wrapping, boxing, stitching, forming, or sealing paper or paperboard sheets into pro…
Set up, operate, or tend machines to mix or blend materials, such as chemicals, tobacco, liquids, color pigments, or explosive ingredients.
Production
Construct, assemble, or rebuild machines, such as engines, turbines, and similar equipment used in such industries as construction, extraction, textiles, and paper manufacturing.
Production
Help production workers by performing duties requiring less skill.
Questions
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +5.7% over 2025–2035, against 3.5% for all occupations, with about 17,000 openings a year.
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Meat are in the moderate category, alongside 193 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.
In O*NET's description of the work, the parts that overlap most with what AI handles well are repetitive motions, processing information and getting information. The parts that hold up best are handling and moving objects, hands-on work with tools and objects and performing general physical activities. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.
On NueCareer's AI-resilience score, built from O*NET work activities, meat score 56 out of 100, higher than 75% of the occupations we score. The job pays a median of $38,300 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.
Stone Cutter and Carver, Manufacturing (low exposure, $46,170 median), Cabinetmaker and Bench Carpenter (low exposure, $46,680 median), Paper Goods Machine Setter, Operator, and Tender (low exposure, $50,270 median), Mixing and Blending Machine Setter, Operator, and Tender (low exposure, $48,990 median). Each is in a lower BLS exposure category than meat, and most are listed by O*NET as related to the work.
The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.