Advances in artificial intelligence (AI) are bringing major changes to the labor market, as many traditional occupations are being replaced by automated technologies. By 2030, AI will take over many tasks that were previously the domain of human workers, drastically transforming many industries. Technologies such as machine learning, natural language processing and autonomous systems are already affecting jobs today and creating new ways of working. This article will explore 100 occupations likely to be replaced by AI by 2030 and present real-world examples where this is already happening.
Artificial intelligence is already replacing many professions that were once considered irreplaceable. From Siri to self-driving trucks, AI is changing the way we work and live. The coming years will see even more automation of jobs, which means now is the time to prepare for the future. Let's take a look at which occupations are likely to disappear by 2030 and how you can prepare for these changes.
1. Telephone operators and receptionists
Artificial intelligence and virtual assistants such as Siri, Alexa and Google Assistant are already taking over the roles of telephone operators. Speech recognition technology enables problem solving without human assistance, increasing efficiency and reducing costs for businesses. For example, companies like IBM use Watson Assistant to automate support calls and improve customer experience. By 2030, these technologies will become even more sophisticated and completely replace the need for human operators (Source: IBM Watson Assistant).
2. Cashiers and sellers
Self-service checkouts and online shopping are already reducing the need for cashiers. Automated stores like Amazon Go use AI and sensor technology to track purchases and automate billing. Customers can make purchases without waiting in lines, increasing customer satisfaction and store efficiency. Walmart has also introduced self-service checkouts that reduce the need for human cashiers (Source: Amazon Go).
3. Drivers of delivery vehicles and trucks
The development of autonomous vehicles means that professional drivers will soon be a thing of the past. Companies like Tesla, Waymo and Uber are already testing self-driving cars and trucks that can deliver goods safely and efficiently without the need for a human driver. Autonomous vehicles reduce traffic accidents and increase the efficiency of transport. Waymo, for example, is already operating autonomous taxis in Phoenix, proving that the technology works in the real world (Source: Waymo).
4. Production workers
Industrial robots such as those being developed by ABB are already replacing many manufacturing workers. These robots can work 24/7 without rest, increasing productivity and reducing costs. Automation of production enables faster and more accurate production of products. Foxconn, which makes electronics for Apple, already uses thousands of robots to assemble iPhones (Source: ABB Robotics).
5. Bookkeepers and accountants
Accounting tasks such as bookkeeping and preparation of financial reports will be automated with the help of advanced accounting software and AI. Programs like QuickBooks already offer automated solutions that reduce the need for human bookkeepers. By 2030, AI will be able to automatically process even more complex financial tasks, reduce the possibility of errors and increase the accuracy of financial reports. Companies like Xero are already using AI to automate accounting tasks (Source: QuickBooks).
6. Insurance agents
AI and digital insurance platforms enable customers to self-select and purchase insurance. Chatbots and algorithms can analyze data and offer personalized insurance plans, reducing the need for insurance agents. AI systems like Lemonade already offer fully digitized insurance services. By 2030, insurance agents will be largely replaced by automated solutions, which will increase the accessibility and efficiency of insurance services (Source: Lemonade).
7. Workers in call centers
Chatbots and AI assistants such as IBM Watson are taking over many of the tasks of call center workers. These systems can handle common questions and problems, reducing the need for human assistance. By 2030, most support services will be automated, reducing the need for call center staff. Companies like LivePerson are already using AI to improve customer service and reduce costs (Source: IBM Watson).
8. Bank employees
Online banking and AI analytics allow customers to complete most banking services without visiting a branch. Mobile apps and digital assistants can handle payments, transfers and even financial advice. By 2030, most banking services will be fully digitized. Customers will be able to perform banking services anytime and anywhere without the need to visit the bank. AI solutions like Erica, used by Bank of America, already offer personalized financial services (Source: Bank of America).
9. Journalists and news writers
News generation algorithms such as OpenAI GPT-3 already write basic news and reports. AI can quickly analyze large amounts of data and create content in real time. By 2030, routine journalistic tasks such as writing reports and short articles will be largely automated. Artificial intelligence will enable fast and accurate reporting of events and reduce the need for human journalists for routine tasks (Source: OpenAI).
10. Nursing assistants
While human contact will always be important in nursing, many routine tasks will be automated. Robots like Pepper can monitor patients, perform basic examinations and provide information. AI systems such as IBM Watson Health are already helping doctors with diagnoses and treatments. Automation will reduce the burden on medical staff and increase the efficiency of medical care. Robots like TUG are already helping with logistical tasks in hospitals (Source: IBM Watson Health).
11. Market analysts
AI data analysis tools like Tableau are already replacing market analysts. These systems can quickly analyze market trends, customer behavior and competitive data. By 2030, market analysts relying on manual data analysis will become a rarity. Automation will enable faster and more accurate data-driven decisions. AI solutions like Google Analytics already offer deep insights into customer data (Source: Tableau).
12. Transcribers
Speech recognition programs such as Dragon NaturallySpeaking are already replacing transcribers. These programs can quickly and accurately transcribe voice recordings into text. With advances in natural language and speech recognition, most transcription will be automated by 2030. This will enable faster and more accurate processing of voice recordings. AI tools like Otter.ai already offer high transcription accuracy. After all, YouTube itself automatically generates subtitles for most languages, and quite accurately.
13. Travel agents
Online booking platforms such as Booking.com, Expedia and Airbnb allow users to plan and book trips themselves. AI algorithms can offer personalized recommendations based on customer preferences, reducing the need for travel agents. Digital services offer easy and quick price comparison and options, which is much more practical for modern consumers. By 2030, traditional travel agents will almost completely disappear as customers prefer to use automated systems to plan their trips. For example, online platforms such as TripIt and Skyscanner already use AI to optimize travel plans and find the best deals (Source: TripIt, Skyscanner).
14. Office administrators
AI and automation make it possible to manage many office tasks without human assistance. Tools like Microsoft Office 365 offer automated features for planning, communication and document management. Digital assistants can organize meetings, manage correspondence and process data faster and more accurately than humans. By 2030, office administrators will be mostly replaced by AI tools, which will increase business efficiency and reduce the possibility of errors. Examples from practice include the use of AI assistants such as x.ai to automate meeting scheduling and calendar management (Source: Microsoft Office, x.ai).
15. Military pilots
Autonomous aircraft and drones are already replacing military pilots in many missions. Technology such as MQ-9 Reaper, enables remote control and autonomous operation without a human pilot. Autonomous drones are capable of performing complex tasks with high precision, reducing the need for human involvement in dangerous situations. By 2030, most military operations in the air will be conducted by autonomous devices, increasing the safety and efficiency of military operations. An example is the use of drones in the US military, where drones are already crucial in carrying out military missions and surveillance (Source: Defense.gov, MQ-9 Reaper).
16. Radiologists
AI systems for analyzing medical images, such as DeepMind's AlphaGo, already recognize patterns and diagnose diseases with greater accuracy than humans. Machine learning technologies can process thousands of images in a short amount of time and detect anomalies that the human eye can miss. By 2030, AI will take over the routine tasks of radiologists, such as reviewing X-rays and MRI scans, allowing faster and more accurate diagnosis of diseases. Examples include the use of AI in clinics such as Moorfields Eye Hospital, where AI helps diagnose eye diseases (Source: DeepMind, Moorfields Eye Hospital).
17. HR workers
AI recruiting tools like HireVue analyze resumes and conduct video interviews using algorithms to recognize facial expressions and emotions. These systems can quickly screen out the best candidates and reduce the need for human HR staff. Automation of recruitment processes enables faster and more objective evaluation of candidates. By 2030, many HR processes will be fully automated, increasing efficiency and reducing bias in hiring processes. Companies like Unilever are already using AI to improve the hiring process (Source: HireVue, Unilever).
18. Translators
AI translation systems such as Google Translate are becoming increasingly accurate and capable of translating complex text structures. AI can quickly and accurately translate documents and texts between different languages. By 2030, many translation tasks will be automated, reducing the need for human translators, especially for basic and routine tasks. Advanced AI translators will enable faster and more affordable communication between different cultures and languages. Companies like SDL are already using AI for professional translation services (Source: Google Translate, SDL).
19. Postal workers
Autonomous delivery robots and drones, such as Amazon Scout, they already deliver packages without human assistance. Autonomous delivery technology makes package delivery faster and more efficient, especially in urban areas. As these technologies spread, postal workers will gradually become unnecessary. By 2030, most delivery tasks in urban centers will be performed by autonomous systems, reducing delivery costs and increasing delivery speed. Companies like Starship Technologies are already using autonomous delivery robots for local deliveries (Source: Amazon Scout, Starship Technologies).
20. Lawyers
AI systems such as ROSS Intelligence are already helping with legal research and document preparation. These systems can quickly analyze large volumes of legal texts and propose solutions based on legal precedents. By 2030, routine legal tasks such as drafting contracts and researching cases will be largely automated. AI will enable faster and more accurate legal services, reduce costs and increase the accessibility of legal aid. Companies like JPMorgan Chase are already using AI to analyze legal documents and cut costs (Source: ROSS Intelligence, JPMorgan Chase).
List of 100 professions that will most likely be replaced by 2030
Telephone Operators, Cashiers, Delivery Truck Drivers, Truck Drivers, Production Workers, Bookkeepers, Accountants, Insurance Agents, Call Center Workers, Bank Clerks, Journalists, News Writers, Nursing Assistants, Marketing Analysts, Transcriptionists, Travel Agents, Office Administrators, military pilots, radiologists, HR professionals, translators, postal workers, lawyers, telecommunications technicians, couriers, dispatchers, medical transcriptionists, medical coders, air traffic controllers, airport workers, tax preparation assistants, optometrists, dental hygienists, pharmacy assistants, legal researchers , train drivers, train controllers, parking lot managers, machining operators, graphic designers for basic tasks, customer data processors, database managers, network infrastructure engineers, surveyors, cartographers, mail center workers, laboratory assistants, surveyors , scientific technicians, laboratory technicians, biometric analysts, personal security guards, physical therapists, data recovery workers, heavy machinery operators, tractor drivers, combine harvester drivers, infrastructure maintenance workers, elevator operators, street cleaners, building custodians, safety inspectors, Technical Support Assistants, Telecom Operators, Insurance Contract Managers, Market Researchers, Sales Representatives, Customer Service Workers, Market Analysts, Marketing Assistants, Digital Marketing Workers, Social Network Managers, Content Writers, SEO Specialists, Video Content Editors, Graphic Animators, User Experience Designers, Project Managers, Business Intelligence Analysts, Information Systems Assistants, Basic Task Programmers, CNC Machine Operators, 3D Printing Designers, Warehouse Supervisors, Inventory Managers, Logistics Planners, Technical Support Workers, Service Technicians , user support workers, book agents, copyright managers, archival curators, archivists, educational administrators, educational technology specialists, digital library managers, e-learning managers, website analysts, market researchers, personal finance consultants, real estate agents , hotel service managers, restaurant assistants, HR specialists, event planners.
Advances in artificial intelligence and automation will likely make these occupations redundant, as AI systems and robots will be able to perform tasks faster, more accurately and more cheaply than humans. It is important that employees and companies adapt to these changes, develop new skills and find ways to take advantage of new technologies.
