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Bobby
Meixner
VP Solution Marketing
Auros
Bobby Meixner is Vice President of Solution Strategy at Auros, where he focuses on how human insight and expertise can help organizations make better decisions as AI reshapes how products are built. He works with product, design, research, and business leaders to explore emerging challenges in AI-enabled product development, from accelerating innovation without sacrificing confidence to understanding what makes people trust and adopt AI experiences. His work combines original research, customer insights, and market trends to help organizations navigate the changing relationship between people, products, and AI.
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21 October 2026 17:20 - 17:30
Closing remarks
As the summit draws to a close, our Chair and partners Auros will reflect on the day's biggest insights, key themes and takeaways, leaving you with practical ideas to put into action when you're back at work.
21 October 2026 09:40 - 10:10
We’ve never been here before: Product judgement in the age of AI
AI is giving product teams extraordinary power to create, but faster creation doesn’t automatically lead to better decisions. As products evolve from tools that people use to AI systems that understand, decide, and act on their behalf, product leaders face a new challenge: knowing what deserves to be built and when it’s ready. Drawing on new research and the first-time moments that have defined previous technology shifts, Bobby Meixner explores why judgment becomes more valuable as creation becomes abundant, why the right human evidence matters, and what it takes to build AI experiences people will understand, trust, and choose to use again. Key takeaways: - Why AI is shifting the product bottleneck from creation to judgment, and what that means for product leaders. - How the relationship between people and technology is changing as software evolves from something we use, to something that understands us, to something that acts on our behalf. - Why human evidence and domain expertise become more important as AI accelerates development, particularly as the stakes and autonomy of AI products increase. - A practical framework for evaluating the human side of AI experiences, including understanding, trust, control, outcomes, and affinity.