AI is turning all of us into passable designers, average developers, and decent writers. But not experts. And if we’re not careful, we’ll start mistaking volume for value, and output for outcomes. “I can, therefore I will” is a thought process that destroys companies.

When organizations flatten hierarchies and outsource key decision-making to AI, they create PMs who look like they know what they’re doing but lack the deep, nuanced understanding required for long-term success. AI-driven tools promise to exacerbate this further by making execution easier, reinforcing a cycle where PMs remain stuck in the mechanics of the role rather than engaging in deeper strategic thinking.

If AI begins to assume all roles in the product development process — acting as product manager, designer, and engineer — we’re not just witnessing an evolution in product development; we’re staring at an extinction event for traditional workflows. With AI serving as both strategist and executor, organizational communication would become highly structured, frictionless, and nearly instantaneous. But what does this really mean?

Are LLMs coming for your job as a Product Manager? Not so fast. While tools like ChatGPT are powerful, they still fall short of replacing the creative and logical reasoning that PMs bring to the table. In this post I explore four critical blockers that will keep PMs indispensable in the evolving tech landscape.