AI Taking Over Jobs: What Jobs is AI Replacing?

Key findings In the future, GenAI is poised to revolutionize the role of Nuclear Power Reactor Operators. It can assist in operations monitoring, troubleshooting, and quality control analysis. By streamlining data access and decision-making processes, GenAI enhances...

Key findings Molders, shapers, and casters, except metal and plastic, craft various products like food items, figurines, and tiles from materials like clay and concrete. GenAI will impact but not transform this work, as physical tasks are beyond its capabilities....

Key findings Ophthalmic Laboratory Technicians meticulously cut, grind, and polish eyeglasses and contact lenses with precision tools. They assemble lenses into frames and ensure quality through monitoring and quality control analysis. Despite advancements in...

Key findings GenAI is set to revolutionize the role of Painting, Coating, and Decorating Workers by automating tasks such as operating paper goods machines. This technology will streamline cutting, folding, packaging, and sealing paper sheets, ensuring precision and...

Key findings Generative artificial intelligence (GenAI) is not expected to significantly impact blue-collar jobs like Packaging and Filling Machine Operators and Tenders. These workers are crucial in preparing products for storage or shipment, such as packing food...

Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, blue-collar jobs like Mixing and Blending Machine Setters, Operators, and Tenders. These workers are shielded from major AI disruption due to the physical nature of their...

Key findings Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic, shape metal or plastic workpieces using milling or planing machines. Despite the rise of Generative artificial intelligence (GenAI), these blue-collar workers are unlikely to...

Key findings Model Makers, Metal and Plastic, operate machines like lathes, milling, and engraving machines to create models of metal or plastic objects. They use critical thinking, quality control analysis, and judgment. GenAI won't transform their work but could...

Key findings Metal and plastic workers fabricate and assemble parts with precision. Generative artificial intelligence (GenAI) is unlikely to impact their work significantly. Blue-collar jobs like theirs, involving physical tasks, are less susceptible to automation....

Key findings Metal-refining furnace operators and tenders play a crucial role in the production of steel, operating furnaces to melt and refine metal for casting. Their work involves reading comprehension, critical thinking, and quality control analysis. Despite the...

Key findings Generative artificial intelligence (GenAI) is set to impact blue-collar jobs, but not transform them entirely. The unique automation wave of GenAI is unlikely to harm blue-collar workers significantly due to the inability of AI to perform physical tasks....

Key findings GenAI's impact on blue-collar jobs like machinists is unlikely to be transformative. The unique automation wave may not harm these workers, as GenAI cannot perform physical tasks. Increased demand for premium goods may even boost the need for blue-collar...