Today's AI landscape isn't just evolving - it's becoming strategically brutal. Market dynamics that took years to shift now transform in months, incumbent advantages evaporate overnight, and the traditional rules of product strategy are being rewritten at a dizzying pace. Companies like Stack Overflow, Chegg, and others went from category leaders to losing product-market fit almost instantly. This isn't just another tech wave - it's a fundamental reshaping of how products compete and win.
This course equips you with the strategic framework needed to navigate this unforgiving new environment. We’ll methodically go through how AI is changing markets, customer problems, feature strategy, and technical strategy. We’ll then bring it all together in an AI Product Strategy Map.
Whether you're leading an AI-native product or adapting an existing one, you'll learn how to make decisive strategic choices in an environment where the wrong move can mean instant - not gradual - loss of product-market fit. This isn't about sprinkling AI features into your roadmap; it's about fundamentally rethinking how you compete and win in the most intense strategic environment product leaders have ever faced.
As a former product executive at Tinder, Facebook, TripAdvisor, and Xbox, Ravi has built consumer tech products, teams, and companies that have impacted millions of lives. Ravi currently advises consumer and B2B startups on product strategy within AI.
Brian Balfour, Founder + CEO @ Reforge, Program Advisor
Britt Jamison, Head of Product ChatGPT Enterprise @ OpenAI
TBA
The past 25 years have seen multiple waves of innovation - Internet, mobile, cloud. Each changed how we build products, but none prepared us for how AI would transform product strategy. Understanding the differences is key to avoid critical strategic mistakes. We cover:
The market you choose sets the context for every other strategic decision - from the problems you'll solve to the technology you'll use. We cover: