Scrum.org Says Cheap AI-Built Code Makes Product Questions More Important

Scrum.org argues that as AI lowers the cost of building software, organizations lose the cost-based filter that once limited what they started, so teams must answer five product questions deliberately: whether the problem is worth solving, whether the work is the best use of team time, whether it is good enough for its users, whether it solved the customer problem, and whether the team's way of working still fits. The article suggests AI agents prepare evidence in the 'Assist' category of the A3 framework while humans make the decisions. It recommends explicit standards such as an AI Definition of Done and recurring reviews such as an AI Delegation Audit.

Why it matters: Product owners, agile coaches, and PMO leads now face a growing volume of cheap-to-start AI-assisted work and need explicit criteria to decide what is worth building.