AI is accelerating product development at a pace few teams have experienced before. But as organisations rush to launch AI-powered experiences and stay competitive, many product leaders are grappling with a difficult question: are we building products that create lasting customer value, or simply shipping features to keep up with the market? This panel brings together product and AI leaders to explore how modern teams are balancing speed, experimentation, customer trust, and meaningful product outcomes. From governance and operational readiness to adoption, usability, and long-term impact, the discussion will unpack what responsible and effective AI product leadership actually looks like beyond the hype cycle. Attendees will hear practical perspectives on: - balancing rapid experimentation with customer experience - avoiding “AI novelty” and focusing on real user value - governance, trust, and operational considerations when scaling AI products - aligning product, operations, and leadership teams around responsible AI adoption - deciding when to move fast (and when to slow down) Perfect for product, growth, operations, and digital leaders navigating the realities of building AI-enabled products in 2026.

For years, WhatsApp was one of the world's most beloved products without a traditional business model. Today, as new technologies reshape customer expectations and product experiences, the challenge isn't just building products people use—it's building products that create sustainable business value without sacrificing trust. Drawing on his experience leading monetization initiatives at WhatsApp, Varanjot Kaur shares lessons from evolving a product used by more than three billion people worldwide. From balancing simplicity and innovation to introducing new revenue streams and evaluating emerging opportunities, this session explores how product leaders can drive growth while preserving the customer experience that made their products successful in the first place. Attendees will learn: - How to identify monetization opportunities without compromising user trust - Lessons from introducing revenue models at global scale - Why simplicity remains a competitive advantage in increasingly AI-powered products - Frameworks for balancing adoption, engagement, and commercial outcomes - What the next generation of product-led growth looks like