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AI News & Strategy Daily | Nate B Jones12m

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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