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2025-07-15 17:03:12

9 professionals who can be replaced by neural networks in the near future

9 professionals who can be replaced by neural networks in the near future

Every day, programmers surprise the whole world with new neural networks that learn to do incredible things. Even 10 years ago, it seemed to mankind that machines would not be able to replace people in a number of professions, but artificial intelligence is becoming more and more developed and functional, which puts many professions at risk of extinction.

Programmists

The ChatGPT neural network and its analogues learned to write code faster than experienced programmers, and their "education" has just begun. Moreover, the codes written by the network work qualitatively, which is why in the future it will be more profitable for employers to use ChatGPT or its "sisters" than to hire a staff of novice programmers. A couple of people will be enough to manage the network, which will reduce the costs of companies - and the number of vacancies for professionals.

Copywriters and journalists

Neural networks in 2022 have learned to compile news reports in the world of sports, fashion and other areas, they are able to compile "human" texts without grammatical and spelling errors. Of course, it will not be possible to exclude journalism from networks, but in the future people will cease to be responsible for the news column.

Lawyers

A neural network that has learned the necessary laws, codes and rights will receive and process information faster than human lawyers. Artificial intelligence is already able to draw an inference based on laws, which increases the likelihood of law firms disappearing from the services market (but not final, of course).

Marketing Analysts

The field of advertising in the coming years may learn to work almost without human intervention. Data collection, their analysis and sorting, sales forecasts are tasks with which artificial intelligence is already quickly and successfully coping.

Teachers

ChatGPT is now trained to conduct school classes with varying success: the machine often makes mistakes during lessons, but with each experience they become less and less. Over time, machine learning can become more profitable and effective than hiring dozens of teachers in schools and universities. However, this is an unlikely scenario – the most unlikely of our collection.

Financial Advisors

In 2023, the strongest point of neurons is analytics. Artificial intelligence analyzes the economy and the investment market no worse than a person, so soon investors will turn more often to neural networks than to consultants.

Graphic Designers

Neural networks Midjourney and DALL-E in a matter of seconds create pictures of amazing quality and detail. Tasks related to graphic design are given to them no worse, so even this creative profession may not be so relevant in the XXI century.

Accountants

The exact sciences are an area with which computers have always coped better than a person, so accounting in the future will become the lot of neural networks. Of course, if we talk about white accounting!

Help Desk Agents

Voice assistants in call centers of large companies have been answering calls for a couple of years, and cope with this task well. Neural networks, on the other hand, will be more effective support agents than humans and limited voice assistants. Soon, many support services will be served by artificial intelligence.

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