PM Daily Digest

Hiten Shah's essay on what happens when models catch up, Bolt's view of the PM job when building is nearly free, and the verification problem both point to. Also: a weak PM hiring-replacement rate and AI feedback-triage practices.

Wispr Flow's paid-growth program, Marty Cagan on feature teams versus empowered product teams, PMs testing Claude Design against their designers, and a PM job market where postings and hires point in opposite directions.

John Cutler warns that AI "factories" are being organized around old functional silos. Patrick Collison describes "liquid software" that users change themselves. Also covered: new data on PM hiring, Google's AI PM interview rubric, and ways to read conflicting metrics and marketing signals.

Supabase and Eve show two ways AI is changing product strategy: designing for agents as users, and pricing by outcomes. Practitioners also traded notes on AI rework, win/loss evidence, and how to prompt.

Take-home assignments and audit interviews test the judgment AI can't supply. Ravi Mehta and Hiten Shah separate observed, believed and tested evidence. A redesign backlash thread shows how to keep a rollback debate grounded in evidence.

Marty Cagan argues AI speeds up the feature-factory model without improving results. Also: what model PM roles actually involve, Beam's early-access evidence, Databricks' pricing lessons, and how PMs are checking AI analytics.

Verified hiring data shows fewer PM hires, higher pay and finance overtaking Big Tech in hiring growth. Torres and Pham both treat AI evals as core product work, and PMs argue over AI-written PRDs.

Ravi Mehta argues that average performance is the wrong bar for launch decisions. OpenAI's computer-use team describes the controls that get enterprises to trust agents, Shopify shows prototype-first design, and Aakash Gupta finds that cloning a product's screens doesn't copy its moat.

Lenny's Podcast laid out Rob Snyder's practical method for finding and scaling demand. PM practitioners debated whether AI pushes the role toward strategy or toward constant execution, and Aakash Gupta published pay and background data on PMs at AI model labs.

A Head of Product's worry that AI has erased the PM's edge drew competing views from practitioners. Also: JD data on AI skills, Belsky's "context war," quality drift across inference providers, and scoping search.