LogRocket: 3 AI shockwaves reshaping product management in 2026

Bartosz Jaworski, a Senior Product Manager at Stepstone with prior experience at Skype and Microsoft, published this analysis in February 2026 to name three forces from the previous year that he argues have permanently altered what product management requires. The article is structured around specific inflection points and their practical implications, rather than broad claims about AI’s potential.

The first shockwave concerns what Jaworski calls AI chaos exposing product fundamentals gaps. Several high-profile AI feature launches in 2025 failed—not because of poor engineering, but because teams skipped the basics: user research, steering metrics, safety checks, and clear outcome definitions. His framing: “an AI model without clear outcomes, steering metrics, clear user value improvements, and safety checks is a liability disguised as an innovation.” The lesson for PMs is that AI amplifies the absence of product discipline rather than substituting for it.

The second shockwave is the rise of AI coding assistants reshaping the PM role. Tools like Cursor and Lovable have reached a point where product managers can build functional prototypes independently, which shifts what PMs can reasonably contribute in cross-functional conversations. Jaworski argues this is changing the baseline competency expected of experienced PMs—not that they need to write production code, but that they can evaluate technical outputs, iterate on working prototypes, and engage with engineering decisions more concretely than before.

The third shockwave is agentic AI changing the user model. As AI agents begin to interact with software autonomously, products must account for machine users alongside human ones. This requires rethinking segmentation, interface design, and success metrics—not as a theoretical future state, but as a condition already occurring in production systems throughout 2025.

The article draws on general examples rather than case studies with specific data. It is best treated as context-setting for PMs who need a clear framework for explaining to leadership why the work has changed, or for anyone entering the profession who wants to understand what assumptions no longer hold.