AI is rapidly emerging, and product management professionals need a measured, selective approach to its adoption by focusing on relevant developments.
Adopting a classification framework to assess how to look at tasks in the context of AI is beneficial.
Lead-Edit Framework can classify PM-led tasks and PM-edited tasks.
Junior PMs tasks can benefit from AI, which can make them 2-3x more effective.
AI can handle tasks that are repetitive and have lower stakes, such as summarization and documentation, allowing PMs to focus on strengthening their core competencies.
The core competencies that AI cannot replace include product strategy, stakeholder management, user empathy, conflict resolution, and creative thinking.
In senior product roles, AI can help in market analysis and brainstorming for tasks such as positioning and pricing.
Product vision, critical problem-solving, team leadership, and managing performance require human judgment and empathy hence human-led tasks.
PMs need to use AI as a productivity multiplier and build new systems and processes using effective prompts, automation, and exploration in design.
Product leadership needs to create new guidelines for AI usage and performance management to keep up with the competition's AI usage.