Comprehensive AI automation risk analysis and career outlook for Materials Engineers professionals
AI will partially impact Materials Engineers roles. With a 49% automation risk, some tasks may be automated, but human skills in creativity, problem-solving, and interpersonal communication remain crucial.
Evaluate materials and develop machinery and processes to manufacture materials for use in products that must meet specialized design and performance specifications. Develop new uses for known materials. Includes those engineers working with composite materials or specializing in one type of material, such as graphite, metal and metal alloys, ceramics and glass, plastics and polymers, and naturally occurring materials. Includes metallurgists and metallurgical engineers, ceramic engineers, and welding engineers.
Based on human expert analysis
This occupation has a moderate risk of AI automation. Some tasks may be automated, but human skills remain important.
Risk assessment based on the "GPTs are GPTs" research by OpenAI, analyzing task-level automation potential.
Latest data from Bureau of Labor Statistics
Detailed breakdown of how AI might impact specific tasks in this role