PMs have it rough. As someone who’s been (and led) PM teams for a long time now, I can’t stay quiet anymore. This piece is all about what’s happening to product management in the age of AI, why we should all care about it, and (of course) very practical ways we can make things better.
Start with the pain: over 80% of product managers have experienced burnout. Two-thirds of senior PMs are actively looking for new roles. And the people we’re asking to lead the AI transition are already running on fumes.
AI is attacking the role from four directions at once: faster artifact generation that makes the easy parts trivial while the hard parts stay hard, probabilistic products that break every planning framework we know, automation that’s eating the glue work, and technical requirements that keep ratcheting upward without shedding anything. One large survey found 88% of heavy AI users report burnout — and they’re twice as likely to consider quitting.
I’ve spent a decade managing products, another five managing PMs, and the last year watching this profession get turned inside out. So I built something: a complete library of AI prompts designed to make any product manager operate at a senior, strategic, decision-driving level.
Here’s what’s in the box:
Morning Technical Deep-Dive — understand any AI/infra topic with a 5-part structured briefing
Technical Decision Pre-Read — get a high-signal breakdown before an architectural meeting
Engineering → Executive Translation — rewrite technical detail into an exec-ready narrative
AI Reliability / Hallucination Diagnosis — identify root causes, guardrails, and what’s fixable
Innovation Theater Detector — stress-test whether a feature request creates real value
Case to Kill a Feature (Diplomatic) — craft a “no” that preserves trust and aligns incentives
Prioritization Pressure Test — force-rank a roadmap using cost of delay, demand, and strategy
Meaning Check — determine whether the work matters, and what would make it matter
Customer Feedback Synthesis — extract patterns, contradictions, outliers, and signals
Gut Check (Data vs. Instinct) — analyze the tension between intuition and metrics
Pre-Mortem (Six Months After Failure) — reveal hidden risks before a launch
Decision Journal Entry — capture reasoning, uncertainty, expectations, and falsifiers
Below I’ll tell you why PMs have it worst right now, what actually still matters, and how these prompts address each of the four threats bearing down on the role.
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