AI can now answer questions faster, cheaper, and sometimes better than humans. So where does that leave managers and teams?
For many leaders, the instinct is to use AI to speed up execution and automate tasks. But the bigger challenge isn’t getting faster answers. It’s learning how to ask better questions, navigate uncertainty, and create environments where people are encouraged to think critically, experiment, and complement AI.
Fortunately, this week’s guest explains why the future of work won’t belong to the people who always have the right answers but to the teams that know how to explore problems with AI as their partner.
Dr. Vivienne Ming is a neuroscientist, entrepreneur, and author of Robot-Proof: When Machines Have All the Answers, Build Better People. Her work focuses on the intersection of artificial intelligence, human potential, and innovation, helping organizations understand which uniquely human skills become even more valuable in an AI-driven world.
In this conversation, we explore the difference between well-posed and ill-posed problems, why curiosity and intellectual humility matter more than expertise, and how managers can build teams that think more creatively alongside AI instead of becoming dependent on it.
Conversation Topics
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Keep up with Dr. Vivienne Ming and SOCoS
- Visit SOCoS here: https://socos.org/
- Check out the book Robot-Proof: When Machines Have All the Answers, Build Better People: https://socos.org/robot-proof
Guest Bonus: Book Giveaway: Robot-Proof: When Machines Have All the Answers, Build Better People
Dr. Vivienne Ming helps readers grasp the ugly and the amazing of how individuals, companies, and societies will respond to the changes that are already taking hold due to the advent of AI. With poignant insight and delicate care to keep us grounded in the human perspective, Robot-Proof is an entertaining and thought-provoking read for all individuals seeking to understand the next steps in a new and completely unprecedented world.
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