AI promises to multiply not just a PM’s individual output, but the outcomes their teams can deliver. But let’s be clear-eyed: fundamental changes are coming to our field, and they’re coming fast.
Many product teams are already using generative AI in their daily work, but these tools often hit a ceiling: limited data access and separation from the core systems where product work happens. The next wave will be deeply integrated into these single sources of truth, with knowledge of business goals, strategy, product opportunities, team capacity, and customer needs.
What this essay explores
- Distill customer, colleague, and market inputs into planning, prioritization, and trade-off decisions.
- Plan objectives and initiatives with product-specific context rather than generic LLM limitations.
- Link post-launch feedback to features and clarify which customers need what.
- Shift time from information processing and delivery project management to strategy and discovery.
- Direct AI by delegating work, providing context, and overseeing its output.
Key takeaway
AI is not just changing the products we build; it's reshaping how we build them. For product managers, this is less like a threat and more like rocket fuel for our capabilities.
