Key findings GenAI is unlikely to automate the work of welders, cutters, solderers, and brazers. The demand for premium goods and services may even increase the need for these blue-collar workers. Their income share could rise as a result. GenAI is unable to perform...
Key findings Woodworkers craft wooden products like furniture, cabinets, and decor using tools to cut, shape, and assemble wood. They work with various wood types and finishes to achieve desired results. GenAI is unlikely to impact woodworkers as it cannot perform...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of blue-collar Tool and Die Makers. While some skills used in this job may be automated in the future, such as Equipment Maintenance and Troubleshooting, the physical...
Key findings Tool grinders, filers, and sharpeners perform precise smoothing, sharpening, polishing, or grinding of metal objects. GenAI is unlikely to automate these blue-collar jobs due to the physical nature of the tasks. The work involves critical thinking,...
Key findings GenAI is set to impact but not transform the work of upholsterers. Blue-collar jobs like theirs are unlikely to be automated due to the physical nature of their tasks. The demand for premium goods and services may even increase, leading to a rise in...
Key findings Stone cutters and carvers in manufacturing use skills such as active listening, critical thinking, and judgment to cut or carve stone based on diagrams and patterns. They follow instructions and use tools to shape stone into specific designs. GenAI is...
Key findings Team assemblers play a crucial role in the production process by collaboratively assembling products or components. Their tasks include decision-making, task rotation, and team leadership. GenAI is unlikely to automate blue-collar jobs like team assembly...
Key findings Textile, apparel, and furnishings workers perform intricate tasks such as sewing, cutting, and assembling textiles and clothing items. Their expertise in crafting high-quality goods is a skill that Generative artificial intelligence (GenAI) cannot...
Key findings Timing Device Assemblers and Adjusters perform precise assembly and adjustment of timing devices like digital clocks or devices with electrical components within tight tolerances. They use skills such as Operations Monitoring, Troubleshooting, Repairing,...
Key findings Tire builders operate machines to make tires. Despite the rise of Generative artificial intelligence (GenAI), blue-collar workers like tire builders are unlikely to be automated. The unique GenAI automation wave may not transform their work significantly....
Key findings Sewers, Hand, such as weavers and stitchers, use a needle and thread to sew, join, reinforce, or finish various manufactured items. The nature of this work involves Judgment and Decision Making skills. Generative artificial intelligence (GenAI) is...
Key findings Sewing machine operators play a crucial role in the garment industry by operating machines to sew, reinforce, or decorate products. Despite the rise of Generative artificial intelligence (GenAI), blue-collar jobs like this are unlikely to be automated....
Key findings Generative artificial intelligence (GenAI) is not expected to significantly alter the landscape for shoe and leather workers and repairers. The unique nature of GenAI automation means that blue-collar workers like them are unlikely to face major...
Key findings Shoe Machine Operators and Tenders meticulously operate various machines to assemble, embellish, reinforce, and finish shoes and shoe components. This work requires reading comprehension, active listening, critical thinking, operations monitoring,...
Key findings Slaughterers and Meat Packers perform specialized tasks in preparing large quantities of meat. This includes cutting meat into standard or premium cuts, making sausage, and wrapping meats in slaughterhouses or meat packing plants. GenAI is unlikely to...
Key findings Generative artificial intelligence (GenAI) is set to impact blue-collar jobs like Rolling Machine Setters, Operators, and Tenders in a unique way. While some skills may be automated in the future, the physical nature of these jobs shields them from major...
Key findings GenAI is set to impact but not transform the work of Sawing Machine Setters, Operators, and Tenders, Wood. Blue-collar workers in this field are unlikely to be automated due to the physical nature of their tasks. The unique automation wave of GenAI may...
Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, the work of Semiconductor Processing Technicians. Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks. The...
Key findings Production workers play a crucial role in the manufacturing process, performing diverse tasks to ensure smooth operations. Unlike other industries, their work is unlikely to be impacted by Generative artificial intelligence (GenAI). This unique automation...
Key findings GenAI, while impactful, is unlikely to transform the work of Recycling and Reclamation Workers. The unique automation wave may not harm blue-collar workers, as physical tasks remain beyond GenAI's capabilities. Increased demand for premium goods may even...
Key findings Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like Plating Machine Setters, Operators, and Tenders, Metal and Plastic. These workers may even see an increase in demand and income due to the growth in premium goods and...
Key findings In the realm of manufacturing, the role of potters is one that is unlikely to be significantly impacted by the rise of Generative artificial intelligence (GenAI). The unique nature of GenAI automation means that blue-collar workers like potters may...
Key findings Blue-collar workers in jobs like Pourers and Casters, Metal are unlikely to be automated by Generative artificial intelligence (GenAI). The unique automation wave of GenAI may not transform but impact their work positively. Increased demand for premium...
Key findings Generative artificial intelligence (GenAI) is not expected to significantly impact blue-collar jobs like Power Distributors and Dispatchers. In fact, the unique nature of GenAI may even increase the demand for these workers due to the growth in premium...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform the work of Power Plant Operators. While some skills like Operations Monitoring may be automated in the future, tasks such as Troubleshooting and Quality Control Analysis...
Key findings Generative artificial intelligence (GenAI) is not expected to automate blue-collar jobs like Paper Goods Machine Setters, Operators, and Tenders. Instead, the demand for premium goods and services may increase, leading to higher demand for these workers...
Key findings Patternmakers, Metal and Plastic, play a crucial role in assembling castings and parts to metal or plastic foundry patterns, core boxes, or match plates. Despite the rise of Generative artificial intelligence (GenAI), blue-collar workers like...
Key findings Generative artificial intelligence (GenAI) is set to impact but not drastically transform the work of Petroleum Pump System Operators, Refinery Operators, and Gaugers. Blue-collar workers in this field are less likely to be automated due to the physical...
Key findings Photographic Process Workers and Processing Machine Operators play a crucial role in developing and processing photographic images. Their tasks involve precision editing of photographic negatives and prints. Despite the automation potential of skills like...
Key findings Plant and System Operators oversee the operation of various plants and systems. Their role involves managing processes that are not classified separately. Unlike many other professions, the work of Plant and System Operators is not likely to be affected...
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 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 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 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 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 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 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 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 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 Jewelers and Precious Stone and Metal Workers engage in designing, making, fixing, and evaluating jewelry, gold, silver, and other valuable materials like gems. Despite the rise of Generative artificial intelligence (GenAI), these blue-collar workers are...
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 Machine Feeders and Offbearers play a crucial role in the industrial sector by feeding materials into or off automatic machines. Despite the rise of Generative artificial intelligence (GenAI), blue-collar workers like Machine Feeders and Offbearers are...
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...
Key findings Meat, poultry, and fish cutters and trimmers use hand tools to cut and trim meat, poultry, and seafood. Despite the rise of Generative artificial intelligence (GenAI), blue-collar workers in this field are unlikely to be automated. The unique automation...
Key findings Gem and diamond workers meticulously fabricate, finish, and assess the quality of precious stones for jewelry or industrial applications. Despite the rise of Generative artificial intelligence (GenAI), these blue-collar artisans are unlikely to face...
Key findings Glass blowers, molders, benders, and finishers shape molten glass according to patterns. These skilled artisans rely on reading comprehension, critical thinking, and quality control to create exquisite glass products. GenAI is unlikely to automate their...
Key findings Grinding and Polishing Workers, Hand, engage in manually grinding, sanding, and polishing various materials such as metal, wood, stone, clay, plastic, or glass using hand tools or hand-held power tools like chippers, buffers, and finishers. This job...
Key findings In the realm of Helpers-Production Workers, the impact of Generative artificial intelligence (GenAI) is unlikely to disrupt the work significantly. The nature of the job, which involves assisting in tasks requiring minimal skills like providing materials,...
Key findings Hydroelectric plant technicians play a crucial role in monitoring and controlling hydropower generation activities. Operating plant equipment such as turbines, pumps, valves, and control boards, they ensure optimal performance. Despite the rise of...
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 unlikely to automate blue-collar jobs like Foundry Mold and Coremakers. The unique automation wave may not transform their work significantly. The demand for premium goods and services could even increase the...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform blue-collar jobs like those of Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders. Despite the automation wave, these workers are shielded due to GenAI's inability to...
Key findings Furniture finishers shape, refinish, and restore furniture to its desired color or finish. GenAI is unlikely to automate this work due to its physical nature. Blue-collar workers like furniture finishers are shielded from major AI disruption, as GenAI...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Gas Plant Operators. Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks. The unique automation wave...
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 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 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 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 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 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 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 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 Cutting and Slicing Machine Setters, Operators, and Tenders operate machines that cut or slice materials such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material. These workers use skills like Reading Comprehension, Critical...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs like Computer Numerically Controlled Tool Programmers. The unique automation wave may even increase demand for these workers due to the rise in premium goods and...
Key findings Cooling and Freezing Equipment Operators and Tenders play a vital role in the food and chemical industries. They operate cooling units and freezers to ensure items are properly cooled or frozen. Their tasks require skills like critical thinking,...
Key findings Crushing, grinding, and polishing machine setters, operators, and tenders play a crucial role in processing materials like coal, glass, or food. Despite advancements in Generative artificial intelligence (GenAI), these blue-collar workers are unlikely to...
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...
Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, the work of Chemical Plant and System Operators. Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks. As the...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs like Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders. The work involves Operations Monitoring and Control, skills that are hard for AI to...
Key findings Blue-collar workers in jobs like Coating, Painting, and Spraying Machine Operators are unlikely to be affected by GenAI automation. Their work involves operating machines to coat products with materials like lacquer or enamel. These workers use skills...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs like Coil Winders, Tapers, and Finishers. The demand for premium goods and services may actually increase the need for these workers, leading to a rise in their income...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Computer Numerically Controlled Tool Operators. Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks....
Key findings Biofuels Processing Technicians play a crucial role in the production of biofuels. They calculate, measure, load, mix, and process refined feedstock with additives in fermentation or reaction vessels. Monitoring the production process and conducting plant...
Key findings Biomass Plant Technicians play a crucial role in controlling and monitoring plant activities while ensuring equipment maintenance and quality control. Despite the rise of Generative artificial intelligence (GenAI), these blue-collar workers are unlikely...
Key findings Butchers and meat cutters prepare meat for sale by cutting and trimming it into consumer-sized portions at retail stores. Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like this one. The unique automation wave of...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs like cabinetmakers and bench carpenters. The demand for premium goods and services may even increase, leading to a rise in income for these workers. GenAI cannot perform...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Chemical Equipment Operators and Tenders. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. The...
Key findings GenAI is set to impact, but not transform, the work of Aircraft Structure, Surfaces, Rigging, and Systems Assemblers. Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks. The unique automation...
Key findings Assemblers and fabricators meticulously craft and piece together various items with precision. Their skilled hands and attention to detail are essential in the production process. Despite the rise of Generative artificial intelligence (GenAI), their work...
Key findings GenAI will enhance the role of Purchasing Agents by streamlining tasks like data analysis, decision-making, and information retrieval. It will simplify interactions with enterprise systems, improving efficiency. While AI will not transform the job, it...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Robotics Technicians. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. The unique automation wave...
Key findings Adhesive Bonding Machine Operators and Tenders play a crucial role in joining materials using bonding machines. GenAI is unlikely to automate these blue-collar jobs due to the physical nature of the tasks. The demand for premium goods may even increase...
Key findings GenAI is poised to enhance the role of Nanotechnology Engineering Technologists and Technicians by automating routine tasks like data entry and system optimization. It can assist in complex problem-solving and streamline decision-making processes. While...
Key findings Generative artificial intelligence (GenAI) is set to impact rather than transform the role of Non-Destructive Testing Specialists. While some skills used in this job may be automated in the future, tasks such as quality control analysis, troubleshooting,...
Key findings In the future, GenAI will impact the work of Nuclear Monitoring Technicians by enhancing data analysis processes. It will assist in system optimization and improve decision-making through efficient information retrieval. While AI can handle tasks like...
Key findings GenAI is set to enhance the role of Nuclear Technicians by streamlining routine tasks like quality control analysis and troubleshooting. It will assist in data analysis and complex problem-solving, improving operational efficiency. While AI will not...
Key findings Photonics technicians play a crucial role in the field of photonics by utilizing skills such as active listening, critical thinking, and equipment maintenance. Despite the rise of Generative AI, their work is unlikely to be automated due to the complex...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Electrical and Electronics Drafters. Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks. The unique...
Key findings GenAI will impact but not transform the work of Electro-Mechanical and Mechatronics Technologists and Technicians. Blue-collar jobs like these are unlikely to be automated due to the physical nature of the tasks involved. The rise in demand for premium...
Key findings GenAI is set to impact, but not transform, the work of Industrial Engineering Technologists and Technicians. Blue-collar workers like them are unlikely to be automated due to the physical nature of their tasks. The automation wave may even increase demand...
Key findings GenAI is set to impact, rather than transform, the work of Mechanical Drafters. Blue-collar jobs like this are unlikely to be automated by GenAI, as it cannot perform physical tasks. The increased demand for premium goods and services may even boost the...
Key findings GenAI is poised to enhance the role of Mechanical Engineering Technologists and Technicians by streamlining tasks like data analysis, system evaluation, and quality control. While it won't revolutionize the field, it will augment processes like system...
Key findings GenAI is poised to enhance the role of Calibration Technologists and Technicians by streamlining data analysis and system evaluation processes. It can assist in executing calibration procedures with precision, leveraging its capabilities in math, physics,...
Key findings Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like Chemical Technicians. Their skills, such as critical thinking and quality control analysis, are difficult for AI to replicate. GenAI may impact but not transform...
Key findings Generative artificial intelligence (GenAI) is poised to impact rather than transform the work of Electrical and Electronic Engineering Technologists and Technicians. Blue-collar workers, like those in this field, are unlikely to be automated by GenAI due...
Key findings GenAI is set to enhance the role of Aerospace Engineering and Operations Technologists and Technicians by streamlining processes through automation. It will assist in tasks like system evaluation, troubleshooting, and quality control analysis. While it...
Key findings GenAI is set to enhance the role of Automotive Engineering Technicians by streamlining routine tasks like equipment maintenance and troubleshooting. It will assist in complex problem-solving and quality control analysis, improving efficiency. While GenAI...
Key findings In the field of Precision Instrument and Equipment Repair, GenAI is poised to enhance efficiency through advanced diagnostic tools and streamlined repair processes. While it may not completely transform the work, it will certainly optimize troubleshooting...
Key findings Radio, Cellular, and Tower Equipment Installers and Repairers play a vital role in maintaining communication systems across industries. Their work involves repairing, installing, and maintaining radio equipment, as well as testing network coverage and...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Security and Fire Alarm Systems Installers. Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks. The...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs like watch and clock repairers. The unique automation wave may even increase demand for such workers due to premium goods growth. GenAI's inability to perform physical...
Key findings Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like Wind Turbine Service Technicians. The unique automation wave may even increase demand for these workers due to the growth of premium goods and services. GenAI's...
Key findings Maintenance workers in machinery play a crucial role in keeping equipment running smoothly. They ensure optimal performance by conducting routine maintenance tasks, troubleshooting issues, and making necessary repairs. These workers rely on skills such as...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs like Medical Appliance Technicians. The unique automation wave of GenAI may not transform their work significantly. Increased demand for premium goods and services could...
Key findings Generative artificial intelligence (GenAI) is poised to impact but not transform the work of Medical Equipment Repairers. While blue-collar jobs are less likely to be automated by GenAI, the future may see some skills automated, such as Equipment...
Key findings Musical Instrument Repairers and Tuners meticulously repair and tune instruments like drums, guitars, clarinets, or flutes. Some specialize in tuning pianos. Their work demands Reading Comprehension, Critical Thinking, Troubleshooting, and Quality Control...
Key findings In the field of Outdoor Power Equipment and Other Small Engine Mechanics, blue-collar workers are set to remain shielded from major AI disruption. Generative artificial intelligence (GenAI) is unlikely to automate tasks such as diagnosing, adjusting,...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform the work of Industrial Machinery Mechanics. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. Despite the...
Key findings Installation, maintenance, and repair workers play a crucial role in ensuring the proper functioning of equipment. They perform tasks such as installing, maintaining, and repairing various types of equipment. While AI like GenAI may streamline some...
Key findings GenAI is set to impact, but not transform, the work of locksmiths and safe repairers. These blue-collar workers are unlikely to be automated due to the physical nature of their tasks. The automation wave may even increase demand for their services,...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not drastically transform, the work of Maintenance and Repair Workers, General. Blue-collar jobs like this one are less likely to be automated by GenAI due to its inability to perform...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform the work of Home Appliance Repairers. Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks. The unique automation wave...
Key findings Camera and Photographic Equipment Repairers play a crucial role in the maintenance and repair of cameras and photographic equipment. Their work involves repairing and adjusting various types of equipment, including commercial video and movie cameras....
Key findings Coin, Vending, and Amusement Machine Servicers and Repairers perform crucial tasks in installing, servicing, adjusting, and fixing coin-operated machines. Despite the rise of Generative artificial intelligence (GenAI), these blue-collar workers are...
Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, blue-collar jobs like computer, automated teller, and office machine repair. These workers are shielded from major AI disruption due to GenAI's inability to perform...
Key findings Generative artificial intelligence (GenAI) will impact, not transform, the work of Electric Motor, Power Tool, and Related Repairers. Blue-collar jobs like these are unlikely to be automated by GenAI due to its inability to perform physical tasks. The...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform the work of Geothermal Technicians. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. The unique automation wave...
Key findings Generative artificial intelligence (GenAI) is poised to impact, but not transform, the work of Audiovisual Equipment Installers and Repairers. Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks....