Free Lesson
How Product Leaders Must Change in the Age of AI
30 min
Nov 16, 2026 2:00 PM
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What you'll learn
Shift #1: From Feature Thinking to Opportunity Thinking
Traditional leader ask: What should we build next?
AI-ready leader ask: What problem contributes to the value creation?
Shift #2: From Requirements to Experiments
Traditional approach: - Define requirements - Build - Launch.
AI-ready: - Hypothesize - Experiment - Learn - Scale
Shift #3: From Static Roadmaps to Adaptive Roadmaps
Why annual planning increasingly fails in environments where AI capabilities and customer expectations change rapidly.
Shift #4: From Product Decisions to Portfolio Decisions
Why you must learn to evaluate dozens of AI opportunities simultaneously and focus investments where impact is highest.
Shift #5:From Managing Products to Leading AI Transformation
How product leaders become catalysts for organizational learning, experimentation and change.
Why this topic matters
Traditional product leadership was built for a world where capabilities were relatively stable, roadmaps were predictable and innovation cycles moved at a manageable pace.
Today's new challenges:
- Hundreds of AI opportunities competing for attention
- Rapidly changing technologies
- Increased uncertainty in product planning
- New expectations from customers and executives
- Pressure to deliver business value while avoiding costly AI experiments
