**In demand** Forecasts show that one of the most sought-after professions is AI engineer — a specialist who creates, configures, and implements systems based on artificial intelligence. They can develop chatbots, voice assistants, recommendation algorithms, information recognition systems, and data processing tools. The main task is to turn the capabilities of AI into a working tool. For businesses, this means automating routine operations, analyzing information, supporting customers, or assisting in decision-making. The engineer becomes the link between technology and the practical task of the company. This trend is already reflected in hiring. According to experts, vacancies requiring specialized AI skills grew about 8 times faster than the overall labor market in 2025. The average salary premium for professionals with such skills reached 62%. The study covered over a billion job postings in 27 countries. **What is essential** Popular AI services are not enough for this work. An engineer needs a technical foundation: programming, mathematics, working with large volumes of data, and understanding the principles of models and algorithms. Analytical skills are also important. The system may make mistakes, require adjustments, or perform poorly in a specific environment. The specialist must be able to verify results, identify the causes of problems, and choose the appropriate solution. Knowledge of English, independence, and a willingness to continuously learn are essential. New tools and approaches emerge quickly, so a degree in this field does not become the final point of education. **Where it will be useful** Artificial intelligence is already being used far beyond just technology companies. It is being implemented in the financial sector, medicine, industry, trade, logistics, and services. At the same time, the content of many professions is changing: some routine tasks are being handed over to algorithms, while employees are required to work with AI and make decisions where automation is insufficient. Companies that actively use AI not only increase productivity but also grow their workforce faster. At the same time, the market is becoming two-tiered: some professions gain an additional tool, while others become more accessible to people without the previous level of competence. However, high demand does not guarantee a solid salary for every newcomer. Income depends on experience, specialization, training, and the employer. It is important for an engineer to understand not only the technology but also the tasks of a specific industry. Value arises where a person can explain what problem the developed system solves and how to integrate it into the workflow. The main advantage remains the ability to quickly master new skills: technologies will change, and some of today’s tools will become simpler. The growing demand for AI skills shows that value will lie not only in creating new systems but also in the ability to turn their capabilities into useful work.
