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Confessions of a millennial 🙏, PMs were built for AI 🛠️, product discovery break AI is disrupting careers by reducing the value of execution and making
long-developed skills feel less relevant. The new advantage lies in
judgment ...
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Install command
$ mrt install ai
**TL;DR** - Millennial PM skillsets around discovery and alignment map well to AI product workflows; breakdown of what transfers. The 10-Second Pitch Traditional PM skills - writing PRDs, running discovery, managing backlogs - translate directly to AI agentic workflow design The hardest part is not the AI - it is the human coordination most PMs are already good at Product discovery in AI-native apps requires new frameworks, but existing PMs can learn them Setup in 3 Steps 1. If you are a PM moving into AI products, lean on discovery skills first - the technology is the easy part
2. Learn how to write good evaluation criteria - it is the most important new skill for AI PMs
3. Study how agentic workflows fail - failure modes are different from traditional software
**Example Prompt:**
Write a PRD for an AI agent that autonomously manages your calendar, prioritizes meetings, and generates prep briefs.
Verdict Pros Cons Traditional PM skills transfer well Evaluation and measurement genuinely hard AI products have long design runway Technology changes faster than user research cycles Demand for AI PMs is high Salary expectations are high too PMs who win in AI do not lead with the technology. Lead with the user problem.
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