Key findings GenAI is revolutionizing the role of Traffic Technicians by automating routine tasks like data entry and system optimization. It enhances decision-making by summarizing information and streamlining processes. With its ability to generate text and...
Key findings In the field of air traffic control, GenAI is set to enhance the role of controllers by streamlining data analysis and decision-making processes. While AI can assist in routine tasks like system optimization and data entry, it will not replace the...
Key findings GenAI is set to impact but not transform the work of Airfield Operations Specialists. Blue-collar workers, like them, are shielded from major AI disruption due to GenAI's inability to perform physical tasks. The automation wave may not harm these workers...
Key findings Taxi drivers operate vehicles to transport people from one location to another. With the emergence of AI technology like GenAI, the work of taxi drivers is likely to be transformed significantly. Automation could streamline route planning, fare...
Key findings Transportation workers operate power pumps and equipment to extract oil or gas from wells in an oil field. GenAI will likely impact this work by automating routine tasks, improving efficiency, and reducing manual labor. In the future, automation could...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of blue-collar wellhead pumpers. As GenAI cannot perform physical tasks, workers in this field will remain shielded from major disruption. The automation wave may...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of sailors and marine oilers. Blue-collar jobs like these are unlikely to be automated by GenAI due to the physical nature of the tasks involved. The unique...
Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, blue-collar jobs like Ship Engineers. GenAI's inability to perform physical tasks means these workers will remain shielded from major disruption. In the future, tasks such...
Key findings Generative artificial intelligence (GenAI) is not likely to impact the work of shuttle drivers and chauffeurs. These blue-collar workers transport passengers, collect fares, and provide essential services like driving nonemergency medical patients and...
Key findings Subway and streetcar operators are vital in transporting passengers safely and efficiently. They operate trains or streetcars, collect fares, and ensure a smooth journey. Despite advancements in Generative AI, this role is unlikely to be automated due to...
Key findings GenAI, while impactful, is unlikely to transform blue-collar jobs like Tank Car, Truck, and Ship Loaders. The unique automation wave may not harm these workers due to increased demand for their physical skills in premium services. However, certain skills...
Key findings Rail transportation workers operate trains and carry out tasks essential to rail transportation. While AI technology like GenAI may enhance efficiency in scheduling and maintenance, human operators will remain crucial for ensuring safety and responding to...
Key findings Rail yard engineers, dinkey operators, and hostlers operate small engines like locomotives in various industrial settings. Despite the rise of Generative artificial intelligence (GenAI), these blue-collar jobs are unlikely to be automated. The unique...
Key findings Generative artificial intelligence (GenAI) will not significantly impact the work of Railroad Brake, Signal, and Switch Operators and Locomotive Firers. These blue-collar workers are shielded from automation due to the physical nature of their tasks. The...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform the work of Railroad Conductors and Yardmasters. 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 poised to enhance the role of Recycling Coordinators by automating routine tasks like data entry and scheduling. It will streamline decision-making processes through efficient information retrieval and classification. While it won't transform the...
Key findings Generative artificial intelligence (GenAI) is not expected to significantly impact blue-collar jobs like that of Packers and Packagers, Hand. The unique nature of GenAI automation means that blue-collar workers may actually see an increase in demand and...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs like Passenger Attendants. The unique automation wave of GenAI may even increase the demand for blue-collar workers due to the growth of premium goods and services. This...
Key findings Pump Operators, Except Wellhead Pumpers, operate pumps and manifold systems to move liquids, gases, and materials between different containers and processes. This work requires skills like Reading Comprehension, Active Listening, Speaking, and Critical...
Key findings Motor vehicle operators are unlikely to be impacted by Generative artificial intelligence (GenAI) due to its inability to perform physical tasks. Their role in operating various types of motor vehicles will remain shielded from major AI disruption. The...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not revolutionize, the work of motorboat operators. Blue-collar jobs like this are less likely to be automated by GenAI due to the physical nature of the tasks involved. The demand for...
Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, the work of heavy and tractor-trailer truck drivers. Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks. The...
Key findings GenAI will impact but not transform the work of Industrial Truck and Tractor 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 may even increase demand...
Key findings Generative artificial intelligence (GenAI) is not likely to impact the work of laborers and freight, stock, and material movers, hand. These workers move items by hand and perform general labor tasks. GenAI's inability to perform physical tasks ensures...
Key findings Generative artificial intelligence (GenAI) is unlikely to automate light truck drivers' jobs. Despite the rise of automation, blue-collar workers like truck drivers will remain in demand due to the growth of premium goods and services. GenAI's inability...
Key findings GenAI is unlikely to automate blue-collar jobs like Locomotive Engineers due to the physical nature of their work. The unique automation wave may even increase demand for such workers, leading to a rise in their income share. While some skills of...
Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, the work of Captains, Mates, and Pilots of Water Vessels. Blue-collar workers like them are less likely to be automated due to the physical nature of their tasks. GenAI...
Key findings GenAI will impact but not transform the work of commercial pilots in the future. While AI can assist in tasks like data analysis and decision-making, it will not replace the critical skills pilots need, such as critical thinking, problem-solving, and...
Key findings GenAI is set to impact but not transform the work of couriers and messengers. Blue-collar workers in this field are shielded from major AI disruption due to the physical nature of their tasks. The demand for premium goods and services may even increase,...
Key findings Generative artificial intelligence (GenAI) is not expected to significantly impact blue-collar jobs like that of flight attendants. The unique nature of GenAI automation means that physical tasks, crucial to such roles, cannot be effectively performed by...
Key findings Gas compressor and gas pumping station operators are crucial in handling gases like butane, nitrogen, hydrogen, and natural gas. They operate compressors powered by various means, ensuring smooth transmission and recovery of gases. Despite advancements in...
Key findings Generative artificial intelligence (GenAI) is set to impact, rather than transform, the work of Ambulance Drivers and Attendants. Blue-collar workers in this field are unlikely to be automated due to the physical nature of their tasks. The growth in...
Key findings Bridge and lock tenders play a crucial role in ensuring safe passage for boats on waterways. Operating and maintaining bridges, canal locks, and lighthouses, they oversee the smooth flow of traffic. While GenAI won't transform their work, automation may...
Key findings Generative Artificial Intelligence (GenAI) is not likely to impact the work of school bus drivers. This profession involves physically driving a bus, ensuring student safety, and providing assistance when needed. GenAI lacks the capability to perform such...
Key findings Generative artificial intelligence (GenAI) is not likely to automate blue-collar jobs such as Bus Drivers, Transit and Intercity. The unique automation wave of GenAI may actually increase the demand for these workers due to the rise in premium goods and...
Key findings GenAI will enhance the work of airline pilots by streamlining data access, aiding in decision-making, and simplifying complex problem-solving. While it won't transform the role, it will improve tasks like system evaluation, quality control analysis, and...
Key findings Cargo and Freight Agents play a crucial role in facilitating the movement of cargo and freight shipments in transportation terminals. They receive orders from customers, organize freight pickups, and calculate shipping costs. Despite the advancements in...
Key findings GenAI revolutionizes the role of Freight Forwarders by automating routine tasks like data entry and market analysis. It enhances decision-making through quick data retrieval and simplifies complex problem-solving. GenAI streamlines processes, improves...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not fundamentally transform, the role of parking attendants. Blue-collar workers like parking attendants are unlikely to be automated by GenAI due to the physical nature of their tasks. The...
Key findings In the realm of aircraft cargo handling supervision, the impact of Generative artificial intelligence (GenAI) is expected to be minimal. Blue-collar workers in this field may find themselves shielded from major disruptions due to the unique nature of...
Key findings In the field of Aircraft Service Attendants, GenAI is poised to enhance work processes without fundamentally altering job functions. While AI can streamline routine tasks like fueling, de-icing, and cleaning aircraft, it won't replace the hands-on...
Key findings GenAI is poised to enhance the role of logisticians by streamlining tasks such as data analysis, system evaluation, and decision-making. While it won't fully transform the profession, AI will assist in tasks like operations analysis and time management,...
Key findings GenAI is poised to enhance the role of Logistics Analysts by automating routine tasks like data entry and system optimization. It will streamline decision-making processes by efficiently summarizing and retrieving information. While GenAI will not...
Key findings GenAI is set to enhance the role of Logistics Engineers by streamlining data analysis, system evaluation, and decision-making processes. While it won't completely transform the job, it will assist in tasks like operations analysis, systems evaluation, and...
Key findings GenAI is poised to enhance the role of Transportation, Storage, and Distribution Managers by streamlining data analysis, decision-making, and system optimization. While AI will not completely transform the work, it will assist in tasks like logistics...
Key findings In the future, GenAI is poised to revolutionize the role of Billing and Posting Clerks. AI will streamline tasks such as data entry, scheduling, and financial analysis. It will enhance accuracy, speed, and compliance in billing processes. GenAI can assist...
Key findings Rail-Track Laying and Maintenance Equipment Operators play a crucial role in maintaining railroad tracks for trains in plant yards, quarries, and mines. Their tasks involve repairing and laying tracks for standard or narrow-gauge railroad equipment. These...
Key findings Generative artificial intelligence (GenAI) is poised to impact rather than transform the work of Recreational Vehicle Service Technicians. Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks. The...
Key findings Signal and Track Switch Repairers play a crucial role in maintaining railroad systems. They install, inspect, test, and repair electric gate crossings, signals, track switches, and communication systems. Their work requires skills like active listening,...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of tire repairers and changers. Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks. The increased demand...
Key findings Generative artificial intelligence (GenAI) is unlikely to automate the work of dispatchers, except police, fire, and ambulance. The unique automation wave of GenAI may not transform this job, as it heavily relies on skills like reading comprehension,...
Key findings Generative artificial intelligence (GenAI) is poised to impact but not transform the work of blue-collar Electronic Equipment Installers and Repairers, Motor Vehicles. These workers may see increased demand due to the growth of premium goods and services,...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Mobile Heavy Equipment Mechanics, Except Engines. Blue-collar workers like them are unlikely to be automated due to the physical nature of their tasks. The growth...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Motorboat Mechanics and Service Technicians. 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 unlikely to automate blue-collar jobs like Motorcycle Mechanics. The demand for premium goods may increase, leading to a rise in blue-collar workers' income. GenAI cannot perform physical tasks, so blue-collar workers are shielded from major...
Key findings Rail Car Repairers play a crucial role in maintaining and repairing railroad rolling stock, mine cars, and mass transit rail cars. Their tasks involve diagnosing issues, adjusting components, and conducting repairs. The job requires skills such as active...
Key findings GenAI is unlikely to automate blue-collar jobs like Avionics Technicians. The growth of premium goods and services may even increase demand for such workers. GenAI's inability to perform physical tasks shields blue-collar workers from major disruption....
Key findings Bicycle repairers play a crucial role in ensuring the smooth functioning of bicycles. They possess skills such as active listening, critical thinking, and troubleshooting to efficiently repair and service bicycles. Despite advancements in Generative...
Key findings Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like Bus and Truck Mechanics and Diesel Engine Specialists. As demand for premium goods and services grows, so will the need for these skilled workers. GenAI's inability...
Key findings Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of cleaners of vehicles and equipment. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. However, as...
Key findings Electrical and Electronics Installers and Repairers, Transportation Equipment, install, adjust, and maintain mobile electronics communication equipment on trains, watercraft, or other mobile equipment. This includes sound, sonar, security, navigation, and...
Key findings Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like Aircraft Mechanics and Service Technicians. This unique automation wave may even increase demand for these workers due to the rise in premium goods and services....
Key findings Generative artificial intelligence (GenAI) is not expected to significantly impact blue-collar jobs like Automotive and Watercraft Service Attendants. These workers may even see increased demand and income due to the rise in premium goods and services....
Key findings Automotive Body and Related Repairers specialize in repairing and refinishing vehicle bodies, as well as straightening vehicle frames. These skilled workers utilize active listening, critical thinking, and troubleshooting abilities to ensure quality...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform the work of Automotive Glass Installers and Repairers. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. The...
Key findings Generative artificial intelligence (GenAI) is set to impact but not transform the work of Automotive Service Technicians and Mechanics. Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved. The...