Artificial intelligence (AI) is rapidly developing, and many professions are already at risk of automation. According to McKinsey and PwC, by 2033, AI will replace up to 30% of existing professions, and up to 50% in the United States and Japan. Let's explore which professions will disappear first.

1. Translator
Modern AI-based translators perform their work efficiently and instantly, and this applies not only to written but also to oral translation. Modern neural networks (DeepL, Google Translate) provide instant and accurate translation of texts and speech. Real-time simultaneous translators are already being used in applications, reducing the need for human translators.

2. Driver
Autopilot technologies are rapidly developing, and it is up to the government to regulate and equip the relevant infrastructure on highways. A driver is not needed for an automatic car to move along a pre-set route. If the vehicle breaks down, the dispatcher will send the necessary service to the required address. Unmanned vehicles are being actively tested, and by 2040-2060, they may completely replace drivers. However, this process will take time due to the need to update infrastructure and legislation.

3. Courier
In Russia and other countries, robots and drones are being tested to deliver parcels, food, and other orders. Specialists are actively working on issues related to the safe flight of drones in large cities and during bad weather, such as heavy rain or snowfall. Drones and robotic couriers are already delivering packages in some countries. As security and logistics issues are resolved, the automation of this field will accelerate its integration into human life.

4. Proofreader and copywriter
ChatGPT and other AI services are used to proofread texts, generate content, and even write code. In the future, only editors will be needed to monitor the algorithms. There will only be a limited number of specialists who will control the work of artificial intelligence.

5. Bank employee
Modern banks are rapidly reducing the number of physical branches. The most popular banks are those that offer fully remote services, as this is much faster and more convenient for customers than going through different institutions multiple times. Online banking and credit algorithms reduce the need for cashiers and credit experts. AI analyses customer creditworthiness faster and more accurately than humans.

6. Sports referee
A sports referee has no right to make mistakes, as this threatens major international scandals. In this regard, sports associations are switching to the use of computer technology in refereeing games and matches. Computer systems (for example, Xiaoice CV Analysis Model) are already helping in judging. AI eliminates human error, which makes it an ideal arbiter.

7. Dispatcher
AI is able to manage logistics, air travel, and other processes by following clear algorithms. It is enough to formalise a set of rules and establish algorithms based on previous experience of solutions, so that AI can fully perform the work of dispatchers.

8. Pharmacist-pharmacologist
AI can be taught to determine the profile of a patient, a doctor and a pharmacy in a short time, to analyse information from a large number of open and closed databases, to provide effective interaction with doctors and inform them about the drugs that are effective for a particular patient. In the future, pharmacies can be fully automated.

9. Announcer
Artificial intelligence can provide high-quality voiceovers using various voices, languages, and even accents. AI also has female, male, and neutral tones, and can read text at different speeds.

10. Programmer
AI can also replace programmers. ChatGPT can autonomously write and modify code in any programming language. It is believed that in the near future, the need for many current testers and juniors will disappear. For example, Microsoft alone announced in January 2023 that it plans to lay off 10,000 employees and invest \$10 billion in Open AI. Amazon and Tesla have also warned about mass layoffs.

11. Analyst
AI can analyse and take into account an infinite number of parameters and vast amounts of data, instantly identifying dependencies that are often hidden from human attention. In many fields, modern analytics are performed by AI and computers.

12. Designer and Illustrator
Companies that need the services of designers and illustrators will start switching to AI, as the services of "live" specialists are expensive and time-consuming. Virtual intelligence, such as DALL-E and Midjourney, allows you to get a good result almost instantly and at a low cost.

Doctors
It is quite difficult, and in some cases impossible, to replace a doctor with a neural network. If AI can still identify and prescribe accurate treatment for simple diagnoses based on an established algorithm, it will not be able to analyze or treat complex or even unique cases.

Psychologists
People in this profession need to have empathy and compassion, and they must find a new approach for each individual case that is unlikely to be repeated in even two out of a thousand patients. No matter how advanced the technology may be, it remains a machine that lacks human qualities.

Chefs
Undoubtedly, it is not difficult to replace ordinary public catering, but if we are talking about brilliant chefs who create in the kitchen and do not follow a learned pattern, then the end of this profession will not come for a long time.

Politicians
These people make strategically important decisions that affect the life of an entire country, or even more than one. This work cannot be replaced, as political structures are one of the main pillars of the state, but neural networks will certainly help politicians.

Marketers
Marketers are not just about market analytics and promotion strategies; they are also about creative problem-solving and non-standard approaches to achieving goals. To become a marketer, you need not only a strong understanding of the market, but also a combination of intuition and insight into what the public wants.

Employees of the Ministry of Emergency Situations and Law Enforcement Agencies
It is undeniable that individuals in this profession possess specialised combat skills, quickly assess the strategy for assisting victims, and execute orders received from their superiors.

Scientists and Researchers
These professions require not only deep specialised knowledge, but also precise research goals and the latest methods for achieving them. While neural networks can greatly assist researchers in storing and organising information, they cannot set goals that are not inherent in their software.

Creative professionals
These include architects, artists, and writers who create entirely new and creative projects that can truly be considered works of art. Simple pictures and texts for advertising, for example, can be created by AI, but they won't be able to design a unique house or create a stunning painting.

Professional athletes
Professional sports require a human body, as they are designed specifically for it. In sports, different aspects of human development are evaluated, and there is no point in comparing and judging identical robots playing for different teams.

Representatives of major IT companies claim that by 2030, 85% of professions that don't even exist today will be relevant. In the following years, professions related to the development of AI technology will be particularly in demand. These include AI and machine learning specialists, sustainable development experts, business analysts, and information security professionals. Additionally, services provided by robotics and electronic technology specialists, data engineers and data analysts, agricultural equipment operators, and digital transformation experts will be in high demand.

AI will change the labor market by automating routine tasks. However, the market is transforming, offering new employment options. Some specialties will become extremely in demand, so there is no need to worry about which professions will disappear in the near future. It is better to focus on your own education and acquiring new skills and in-demand competencies that are not available to soulless machines.