Short answer
Very unlikely. BLS rates coating among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.
AI and jobs
The Bureau of Labor Statistics places coating in its low AI exposure category, among the occupations least exposed to current AI. BLS projects employment to change by +2.5% over 2025–2035, against 3.5% for all occupations, with about 15,300 openings a year.
Short answer
Very unlikely. BLS rates coating among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.
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. Coating land in the low category: among the occupations least exposed to current AI.
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 +2.5% change in employment over the decade, against 3.5% across all occupations, and about 15,300 openings a year once retirements and career changes are counted. About 158,740 people work in the job today, at a median of $48,250 a year (BLS OEWS, May 2025).
Options
Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a low exposure category.
Construction and Extraction
Paint walls, equipment, buildings, bridges, and other structural surfaces, using brushes, rollers, and spray guns.
Production
Grind, sand, or polish, using hand tools or hand-held power tools, a variety of metal, wood, stone, clay, plastic, or glass objects.
Production
Shape, finish, and refinish damaged, worn, or used furniture or new high-grade furniture to specified color or finish.
Set up, operate, or tend plating machines to coat metal or plastic products with chromium, zinc, copper, cadmium, nickel, or other metal to protect or decorate surfaces.
Production
Laminate layers of fiberglass on molds to form boat decks and hulls, bodies for golf carts, automobiles, or other products.
Questions
Very unlikely. BLS rates coating among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do. 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 +2.5% over 2025–2035, against 3.5% for all occupations, with about 15,300 openings a year.
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Coating are in the low category, alongside 202 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 hands-on work with tools and objects, face-to-face discussions and inspecting equipment, structures, or materials. 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, coating score 52 out of 100, higher than 66% of the occupations we score. The job pays a median of $48,250 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.
Painter, Construction and Maintenance (low exposure, $49,400 median), Grinding and Polishing Worker, Hand (low exposure, $42,660 median), Furniture Finisher (low exposure, $44,540 median), Plating Machine Setter, Operator, and Tender, Metal and Plastic (low exposure, $43,960 median). Each is also in the low category, 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.