The "hamster wheel of execution" persists because performance reviews and incentives overwhelmingly focus on shipped features. Until companies tangibly reward strategic vision and planning, PMs will continue to prioritize execution, regardless of time saved by tools like AI.

Related Insights

There's often a massive gap between a company's strategic goals and where development teams actually spend time. In one case, only 2% of capacity was spent on the top strategic goal because teams are "magnets for requests" that derail progress on the big picture.

A product roadmap's value is in the planning process and aligning the team on a vision, not in rigidly adhering to a delivery schedule. The co-founder of Artist argues that becoming a feature factory focused on checking boxes off a roadmap is a dangerous trap that distracts from solving real customer problems.

If a team is constantly struggling with prioritization, the root cause isn't poor task management; it's the absence of a clear, unifying strategy. A strong, insight-based strategy makes prioritization implicit, naturally aligning the organization and reducing distractions.

Over 60% of product teams regain 2+ hours daily using AI, but this time is often absorbed by more execution tasks—the "hamster wheel"—rather than being allocated to crucial strategic planning. This is due to organizational demand and the cognitive load of context-switching.

Measuring engineering success with metrics like velocity and deployment frequency (DORA) incentivizes shipping code quickly, not creating customer value. This focus on output can actively discourage the deep product thinking required for true innovation.

When a product team is busy but their impact is minimal or hard to quantify, the root cause is often not poor execution but a lack of clarity in the overarching company strategy. Fixing the high-level strategy provides the focus necessary for product work to create meaningful value.

In an organization still running in project mode, the 'Product Manager' title is misleading. The role is often relegated to organizing work and scheduling tasks for engineering. A true product model requires empowering these roles with the mandate, skills, and market access to make strategic decisions.

When a team is "too busy doing the work to promote the work," it is a false choice that reveals a failure to prioritize strategic visibility. The solution is not more time, but actively blocking off a non-negotiable percentage of time for promotion and senior stakeholder engagement.

Companies stay stuck in failing models for three reasons: 1) The system rewards controllable but ineffective activity (more calls, more MQLs). 2) Leaders fear the perceived risk of foundational change. 3) A culture of urgency favors quick tactical fixes over addressing deep, systemic issues.

As AI automates synthesis and creation, the product manager's core value shifts from managing the development process to deeply contextualizing all available information (market, customer, strategy) to define the *right* product direction.