AI will automate tactical, repetitive tasks like writing user stories and coding from tickets. Professionals who only perform these functions without strategic business understanding will become obsolete, as their core responsibilities can be executed faster and more efficiently by AI agents.
AI can assemble data-rich presentations, but it cannot replicate the human emotional intelligence required for stakeholder management. Understanding an executive's personal values and tailoring a message—like connecting a design system to company values—remains a critical and uniquely human skill for gaining buy-in.
As AI accelerates engineering, the technical gap between product and engineering shrinks. The most defensible skill for PMs becomes their superior understanding of the business model, market context, and sales motions, making them the indispensable source of strategic direction that AI cannot replicate.
The PM role will expand beyond leveraging off-the-shelf AI. They will be responsible for creating and training specialized AI agents. This involves instilling agents with deep, company-specific knowledge of business models, customers, and strategy, just as they would onboard a new human team member.
AI can generate synthetic personas from existing data, but it cannot replicate the authentic emotional connection derived from direct human interaction. These real conversations uncover novel insights and a depth of care that models trained on past information will always miss, rendering them incomplete.
Contrary to fears of fewer PMs, AI-driven development efficiency will increase the need for strategic guidance. This shifts the bottleneck to product strategy, requiring tighter PM alignment and potentially leading to smaller, more senior teams with ratios as low as one PM for every two developers.
The PM role has often devolved into tactical development execution. By automating these tasks, AI forces the role to return to its original strategic function, akin to a P&G brand manager. The focus shifts back to owning the entire system: business model, market dynamics, and go-to-market strategy.
