What AI PMs Actually Do (And Don't Do)
The AI PM role is the most misunderstood job in tech. Here's what the day-to-day really looks like — from someone who's lived it.
Mahesh Kalbhor2026-04-158 min read
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Insights, guides, and stories for aspiring and practicing AI PMs.
The AI PM role is the most misunderstood job in tech. Here's what the day-to-day really looks like — from someone who's lived it.
You can't manage what you can't measure. Here's how to build evaluation frameworks that actually tell you if your AI feature is working.
The industry is moving from copilot patterns to agent architectures. Here's what that means for how you design AI products.
Retrieval-Augmented Generation is reshaping how AI products handle knowledge. Here's the PM's guide to RAG architecture, trade-offs, and evaluation.
Learn to tackle AI feature design questions with frameworks for scoping and tradeoffs.
OpenAI and Anthropic's IPOs and soaring AI costs demand strategic pivots. Here's what AI PMs need to do now.
Decipher RAG architectures vs fine-tuning for AI products. Learn when and how to evaluate retrieval quality effectively.
AI PMs face new regulatory challenges and strategic shifts. How should you adapt?
Plan your shift to AI PM roles with this month-by-month guide. Avoid common pitfalls.
Explore how Google's agentic AI models and SpaceX's IPO plans could reshape your AI strategy.
Discover why AI models degrade over time and the strategies PMs need to combat drift.
OpenAI's strategic maneuvers and legal hurdles offer crucial lessons for AI PMs navigating innovation and partnerships.
Pivoting to AI PM? Here's a month-by-month plan to build skills and avoid pitfalls.
Musk's lawsuit against OpenAI raises crucial questions for AI PMs about ethics and regulation. Here's what you should focus on.
Explore when to choose RAG over fine-tuning and how to assess retrieval quality.
Musk vs. Altman trial and Pentagon's AI deals highlight critical shifts in AI governance and security. What should AI PMs prioritize?
AI models degrade over time. Learn how to detect drift and the strategies PMs must own.
AI models degrade over time due to model drift. Learn how to detect and manage it effectively.
Google and Amazon's billion-dollar bets on Anthropic redefine AI competition. What should AI PMs prioritize to stay ahead?
Google's $40B Anthropic investment and new AI models demand strategic pivots from PMs. Are you ready?
Google and Amazon's massive AI investments redefine infrastructure needs. Are you ready to adapt?
The AI PM role is the most misunderstood job in tech. Here's what the day-to-day really looks like — from someone who's lived it.
You can't manage what you can't measure. Here's how to build evaluation frameworks that actually tell you if your AI feature is working.
My honest account of the transition — what worked, what didn't, and the one thing I wish I'd known from the start.
After coaching 50+ PM candidates, these are the patterns I see over and over. Number 3 surprised me too.
The industry is moving from copilot patterns to agent architectures. Here's what that means for how you design AI products.
Hiring managers look for evidence you can ship AI products. Here's exactly what to include and how to present it.
Retrieval-Augmented Generation is reshaping how AI products handle knowledge. Here's the PM's guide to RAG architecture, trade-offs, and evaluation.
Standard PRD templates fall apart for AI features. Here's a battle-tested template that covers eval frameworks, model selection, and failure modes.