AI Taking Over Jobs: What Jobs is AI Replacing?

Key findings GenAI is not likely to automate the work of Forging Machine Setters, Operators, and Tenders in metal and plastic industries. The demand for premium goods will increase, protecting blue-collar workers. GenAI cannot perform physical tasks, safeguarding jobs...

Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Fabric and Apparel Patternmakers. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. The unique...

Key findings Food processing workers play a vital role in the factory setting, where they handle and process food products with precision. Their tasks involve ensuring the quality and safety of the food items being produced. Despite the rise of Generative artificial...

Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Food Cooking Machine Operators and Tenders. Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks. The...

Key findings GenAI is set to impact, but not transform, the work of Fiberglass Laminators and Fabricators. As blue-collar workers, they are shielded from major AI disruption due to the physical nature of their tasks. The automation wave may not harm them as it does...

Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Food Batchmakers. Blue-collar jobs like this are unlikely to be automated by GenAI, as it cannot perform physical tasks. The unique automation wave may even...

Key findings Etchers and engravers use skills such as reading comprehension, active listening, speaking, critical thinking, and quality control analysis to engrave designs on various materials. Despite the automation potential of some skills used in this work, such as...

Key findings Dental laboratory technicians construct and repair full or partial dentures and dental appliances. Despite the rise of Generative artificial intelligence (GenAI), blue-collar workers in this field are unlikely to be automated. The unique nature of GenAI...

Key findings Electrical and Electronic Equipment Assemblers play a crucial role in assembling and modifying electrical devices such as computers, test equipment, and electric motors. These workers utilize skills like reading comprehension, critical thinking, and...

Key findings Generative artificial intelligence (GenAI) is poised to impact, rather than transform, the work of Engine and Other Machine Assemblers. Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks. The...

Key findings Electromechanical Equipment Assemblers play a crucial role in assembling complex machinery like servomechanisms and dynamometers. Their tasks require reading comprehension, critical thinking, and quality control analysis. Despite advancements in GenAI,...

Key findings Generative artificial intelligence (GenAI) is unlikely to impact the work of Cutters and Trimmers, Hand. These skilled workers use hand tools to cut various materials. Blue-collar jobs like this are safe from automation due to GenAI's inability to perform...