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A product lead launches an AI feature and realises the team has no shared framework for evaluating it. A founder begins building an AI startup and understands they lack the language to manage a technical team. A senior manager sees AI appearing on every job description and wonders whether their skills are still sufficient. These are three typical situations that prompt experienced professionals to seek formal education in AI Product Management — a management discipline for those who lead a product, run a team, or are building their own AI business. This is what the findings of the AI PM profile study by IT university Neoversity reveal.
Career development and leadership ambition are the primary motivation
Most professionals choose AI PM while already working within the IT industry, yet 85% of students come from non-technical backgrounds. Every second student holds a management position: Project or Product Manager, director, department head, entrepreneur, or founder.
Graduates of the AI Product Management programme are equipped to manage the full lifecycle of an AI product — from defining requirements for an ML team through to taking a product to market and owning its business outcomes. This is precisely why career development and leadership ambition are the primary motivation for 60% of students enrolling.
AI PM as a response to market demands
The World Economic Forum’s Future of Jobs 2025 report identifies AI as one of the most sought-after competencies of the next five years. In practice, this means that AI PMs today are expected to combine technical literacy without writing code, product thinking, and the ability to advocate for AI initiatives at a strategic level.
Companies are increasingly looking for professionals capable of transforming their product in line with new market demands and the rapid evolution of AI. At Senior, Head, and C-level interviews, AI is already a must-have competency — and this is not about tools, but about mindset: the ability to evaluate AI initiatives in a structured way, to understand their business impact, and to make decisions under uncertainty.
— Anastasiia Izotova, Head of the Neoversity Career Centre
Within the AI Committee of the IT Ukraine Association, we are seeing clearly that the implementation of the national AI strategy requires managers for whom AI Product Management is not an added advantage, but a core professional competency. This means the ability to identify AI opportunities within a product, assess the business value of solutions, test hypotheses, manage risks, and account for Responsible AI, ethics, privacy, and compliance. The growing demand for formal AI PM education among founders and executives confirms that the market has already recognised this.
— Maria Shevchuk, Executive Director of the IT Ukraine Association
Read more about the AI Product Management profile here: AI Product Management Profile in Ukraine.pdf
