A recent tweet by John Cutler provoked some interesting reactions. It got me thinking about whether there are underlying principles of product management that apply in all contexts.

AI can write code, generate UI, debug errors, create tests, and build prototypes.

So why can’t AI ship its own features?

Because shipping is not only execution.

It is product judgment.

Who decides the feature should exist?
Who checks the risk?
Who protects user trust?
Who is responsible when it breaks?

AI can build fast.

But humans still own the consequences.

Read:
https://validatefacts.com/articles/why-ai-cannot-ship-its-own-features-yet

#AI #AIAgents #AIcoding #SoftwareDevelopment #ProductManagement #FutureOfWork

Finally putting my 2 cents in a blog article:

Maximizing output with LLMs vs maximizing value with solid product work.

https://martinstahl.eu/blog/are-ai-pms-just-output-maximizers

#prodmgmt #productmanagement #ai #agile

Traditional discovery is slow, often leaving valuable insights buried in transcripts. Caitlin Sullivan's latest guide explores how AI transforms this, turning 10+ hours of manual analysis into minutes. It’s about more than speed; it’s about better decisions.

Check it out: https://www.news.aakashg.com/p/caitlin-sullivan-podcast

#ProductManagement #AI

Jenna Gaudio’s Sprint Planning Process at Vydia

https://tpgblog.com/2026/06/11/jenna-gaudios-sprint-planning-process-at-vydia/

AI transformation often fails when we focus only on tools. Success requires a loop of leadership, culture, tools, and governance. Zapier’s framework shows how to move from scattered pilots to core operations by building urgency and psychological safety.

Turn AI into your advantage: https://zapier.com/playbooks/ai-transformation-framework

#AI #ProductManagement