10 Jobs That Will Disappear In The Next 10 Years

As automation, AI, quantum computing, blockchain, and unaccountable multinational corporations infiltrate the workforce and take over the global economy, we are witnessing a joblessness crisis on a scale unseen in human history. Automation is expected to disrupt between 800 million and 2 billion jobs over the next 10 years, according to estimates.

Let’s take a look at some of the jobs that will disappear in the next 10 years.

1. Cashier

Cashiers in retail stores and supermarkets are already a threatened species. Companies such as Amazon have experimented with self-service grocery stores, and the concept is quickly gaining traction. If this becomes common practise, we will no longer need to go grocery shopping. Their jobs may become extinct as businesses shift to self-checkout machines.

2. Travel Agent

The rise of online travel booking websites has put the future of travel agents in jeopardy. People no longer need them to book tickets because they can do it themselves. As a result, the role of travel agents may become extinct over time.

3. Bank Teller

With the advent of ATMs, it is easy to predict that bank tellers will become extinct in the coming years. People are already using their smartphones to conduct transactions rather than going to a bank. With applications such as Paypal and others, online banking has made this process even more accessible. As a result, the job market for bank tellers is already contracting as fewer people visit bank branches.

4. Postman

Postman is one of the most well-known jobs. Almost everything can now be done online, thanks to the rise in digital transactions. Letters may not be sent as frequently as in the past, but they will no longer need to be delivered once they have arrived at their destination.

5. Parking Lot Attendants

Parking attendants may become extinct in the coming years. To provide automated garages, an increasing number of businesses are turning to robotic parking systems. This eliminates the need to pay a person whose job it is to park cars in a garage. However, it is possible that people will have lower-paying jobs as a result of companies like these refusing to hire them.

6. Logger

Loggers may be among the first jobs to go extinct as a result of automation. There are already robots that can do this job efficiently. A logger’s job is to cut down trees and stack them for later use. This process has been automated by machinery that can cut down and stack trees.

7. Telemarketer

Telemarketers may become extinct in the near future. Companies will be able to automate their sales operations more easily as artificial intelligence and voice recognition technology advances. These machines would be able to handle inquiries better than humans and provide immediate solutions. This would imply that no telemarketing employees would be required.

8. Librarian

Physical copies of books and reports will become obsolete as we transition to a more digital world. Libraries may become extinct because people will no longer visit them to obtain information. This also means that there will be no librarians. Because everything can be done online, we may not need a library in the future. Even if physical libraries exist, brilliant libraries will provide their visitors with all of the information they require.

9. Referees and Umpires

Referees and umpires in sports may become extinct in the future. This is because improved technology will make it easier to use technology to make decisions during sporting events. They could be replaced by automated systems that make decisions based on data collected from sensors strategically placed throughout the field. This would result in fewer paying jobs because the need for people to perform these tasks manually would be greatly reduced.

10. Machine Operator

Another job that may soon become obsolete due to automation is that of an industrial machine operator. There are already robots that can operate industrial machines with high efficiency and do not require rest breaks. Artificial intelligence has enabled these machines to efficiently learn about their surroundings, allowing them to detect problems and take appropriate action immediately. 

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