but not a replacement for a person."

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Kirill Semion, CEO of the National Competence Center for Information Systems of Holding Management (NCC ISU), spoke about the risks associated with the operation of generative AI: "Risks associated with the quality of the code, the complexity of further support and development are increasing. In order to support and turkey whatsapp resource develop software, you need to understand it. And reading someone else's code is any programmer's nightmare. There are also information security risks and risks associated with insufficient understanding of who, how and on what trained the AI."

If we single out companies that are already using generative AI in development or plan to use it in 2024, then their contribution of AI to the execution of projects and tasks corresponds to a much larger share of the total staff of specialized technical employees: 4.2% in 2022, 7.8% in 2023 and 11.8% in 2024. 36.3% of respondents found it difficult to answer the corresponding question, and 43.9% indicated a zero figure. The overwhelming majority of software companies cannot yet report that they have a clear and measurable effect from using generative AI in software development.

"AI is noticeable in many processes: from automatic generation of test cases to creation of user interfaces. As companies accumulate practice of using such models, they get the opportunity to integrate them into work processes more effectively. And due to the reduction in cost, commercial integration is becoming more accessible," says Valery Nikanorov, leader of the Fundamental Services cluster of the Sfera platform (T1 Holding).

Generative AI is most often used by companies that create solutions for banks, develop linguistic software, websites, and Internet services. Less often, generative AI is used in the development of industrial software and hardware and software systems.