The Evolution of Product Management in the Age of AI*

This talk was not recorded and is not available on YouTube due to NDA restrictions.
The presentation is available here.

Artem Miloserdov focused on how the role of the Product Manager is changing as AI moves from a supporting tool to a core part of product strategy, execution, and decision-making. The talk explored how PMs are no longer operating only as prioritization and coordination specialists, but increasingly as translators between business needs, technical capabilities, and AI-enabled product opportunities.

A key theme of the presentation was that AI is not simply adding another feature layer to digital products — it is changing the way products are imagined, built, and measured. In that context, the PM role is evolving as well. Discovery becomes faster, experimentation becomes cheaper, and teams can validate ideas earlier than before. At the same time, PMs now have to work with new uncertainties: non-deterministic systems, model limitations, quality trade-offs, and questions around trust, user experience, and business value.

The talk also highlighted the tension between speed and judgment. While AI can accelerate research, prototyping, analysis, and documentation, it does not replace product thinking. PMs still need to define the actual problem, understand users, make trade-offs, and align product direction with the realities of the business. In many ways, AI increases the need for strong product leadership rather than reducing it.

Overall, the session framed the modern PM as someone who must become more adaptive, more technical in understanding AI capabilities, and more strategic in deciding where AI genuinely creates value versus where it only creates noise. For product teams navigating AI adoption, the talk served as a strong reminder that the future of PM is not disappearing — it is being redefined.