Cheap software made your PM job harder, not easier. Here's the new job.
TL;DR
The bottleneck moved from building to judgment — AI makes first versions cheap, so PMs are no longer gatekeepers of scarce engineering but classifiers of software abundance into market value, internal utility, or deletion.
Microsoft’s scale shows the new reality — Inside Microsoft there are 1 million+ Power Platform assets, including 170,000 Power Apps, 50,000 flows, 18,000 agent environments, and 1,200 chatbots, forcing governance around inventory, telemetry, permissions, and data policy.
Non-technical PMs are running out of road — Jones says PMs now need to reason about model behavior, evals, retrieval, latency, cost, permissions, workflow boundaries, and failure modes because those technical choices now shape the product itself.
Broad experimentation should be allowed, but not left unmanaged — The right posture is not 'only PMs prototype' but 'let everyone build, then apply product judgment' so useful internal tools don’t stay hidden and risky ones don’t quietly spread.
A production class ladder beats demo chaos — Jones proposes four classes—personal tool, team beta, supported internal product, and customer-facing product—with different ownership, support, monitoring, and governance expectations for each.
Dead internal software is the new tech debt — If every prototype gets promoted, companies inherit support burdens, access risk, and zombie products; GitGuardian’s report of 1.2 million exposed AI secrets on public GitHub in 2025 is his warning sign.
The Breakdown
Microsoft now has more than 1 million internal low-code and AI assets, and that abundance changes the PM job from rationing engineering time to deciding what software should matter, be supported, or be deleted. Nate B Jones argues that prototyping is now table stakes; the real work is post-prototype judgment about markets, governance, risk, and which experiments deserve to become real products.
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