Product Management in the Age of Software Abundance

The Shift from Scarcity to Abundance

Product management historically functioned as a filter for expensive engineering time, using roadmaps and PRDs to ration development. AI has inverted this model by making the creation of working artifacts—dashboards, automations, and agents—trivial. The primary bottleneck is no longer the ability to build a first version, but the ability to exercise judgment on which artifacts provide actual market value versus those that create technical debt, security risks, or operational sprawl.

Implementing a Production Class Ladder

To manage the influx of prototypes, PMs should implement a formal classification system that dictates the level of support and governance required for different software artifacts. This ladder prevents the organization from becoming a graveyard of unmaintained tools while allowing for broad experimentation:

• Personal Tools: Intended for individual use with minimal oversight, provided they adhere to basic data handling policies.
• Team Betas: Small-group tools requiring a designated owner, a backup owner, a brief functional description, and a documented failure plan.
• Supported Internal Products: Business-critical tools requiring platform partnership, formal access management, monitoring, documentation, and auditability.
• Customer-Facing Products: External-facing features requiring full product standards, including AI-specific evaluations, governance, and reliability guarantees.

The New PM Decision Rule

PMs must evolve into stewards of the 'prototype commons,' an informal space where employees build solutions to problems that never reached the official roadmap. Instead of acting as gatekeepers who block development, PMs should adopt a 'default allow' policy for experimentation while applying rigorous criteria for promotion to higher rungs of the production ladder. This requires technical literacy to evaluate model behavior, agent loops, data access, and failure modes. Crucially, PMs must be as willing to demote or sunset obsolete tools as they are to promote new ones, preventing the accumulation of 'zombie products' that drain support resources.