Andrew Ng has been signaling this for a year. Amol Avasare recently doubled down on Lenny’s Podcast. The consensus? AI automates the low-leverage parts of the Product Management job, it amplifies the need for the higher order, more human parts of the job.
I spent the last few weeks in deep dives with leaders at Google, Meta, and leading Financial Services and Healthcare. These are the people building the agentic age. Their takeaway is that the “hustle” of managing feature complexity is becoming a commodity. What remains is the only thing that pays: Judgment.
The 2026 Reality: Rebuilding “Good PM / Bad PM”
💢 From Features to Systems
Stop building prototypes to bypass Engineering and ship features. Great PMs create AI systems like automated ticket triage, research synthesis and roadmap prioritization that create alignment and eliminate bureaucracy across the Eng-Product-Design triad and company.
💢 From Noise to Context
Verbose AI-generated “slop” creates bottlenecks. Winning PMs create high bandwidth communication with crisp docs that memorialize critical design and business decisions creating new “context” for AI systems to use.
💢 From Oracles to Sounding Boards
Bad PMs ask AI for the final answer. Good PMs use it to red-team assumptions, run simulations on unit economics, and perform deep research on buried data to see around corner cases.
AI is a force multiplier for Product Management judgment, not a crutch for answers.
Swipe Through: The AI PM Playbook
