Conor Grennan, Chief AI Architect at NYU Stern and founder of AI Mindset, shares his insights on AI's revolutionary role in education and the workplace. He recounts a transformative trip to Nepal with his son to teach AI, illustrating the generational ease with technology. Conor discusses the urgent need to reform educational practices, highlighting the difference in AI adoption between students and employees. The conversation also emphasizes the importance of public speaking and human-centered skills in an AI-driven world, while urging organizations to embrace early AI adoption.
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Teaching AI in Nepal with Son
Conor and his 16-year-old son taught AI to NGOs in Nepal, revealing young people's natural aptitude for AI.
The son's perspective brought an authentic student view often missing in education discussions.
insights INSIGHT
Incentives Drive AI Adoption
Students adopt AI faster than employees mainly due to stronger incentives like grades.
Employees often lack motivation to change because their pay isn't linked to increased efficiency.
volunteer_activism ADVICE
Flip Classrooms with AI Use
Flip classrooms to let students freely use AI for learning, then require them to teach topics without AI.
Teaching as reinforcement solidifies learning and encourages mastery beyond easy AI-assisted answers.
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In this book, Carol S. Dweck introduces the concept of two mindsets: the fixed mindset and the growth mindset. People with a fixed mindset believe their abilities are static, while those with a growth mindset believe their abilities can be developed through effort and learning. Dweck shows how these mindsets influence success in school, work, sports, and personal relationships. She also discusses how to adopt a deeper, truer growth mindset, and how this can transform individual and organizational cultures. The book emphasizes the importance of perseverance, learning from failures, and embracing challenges as key components of the growth mindset[1][2][5].
In this fascinating episode of Lawyers Who Learn, David Schnurman, CEO of Lawline, interviews Conor Grennan, Chief AI Architect at NYU Stern and founder of AI Mindset, who brings a unique perspective on how AI will fundamentally reshape education and work. The conversation begins with an inspiring story about Conor taking his 16-year-old son to Nepal to teach AI to NGOs, revealing how the next generation naturally understands and adopts AI technology.
Conor challenges conventional thinking about education, discussing how the current educational system needs to evolve in the AI era. He explains why students adopt AI faster than employees - it's all about incentives - and shares his vision for reimagining classrooms where students use AI to learn faster, then teach others without technological assistance. The discussion explores the fundamental shift from information consumption to human-centered skills like public speaking and authentic communication.
The conversation delves into practical AI adoption challenges, drawing parallels between the "tapping problem" (where experts assume others understand what they're communicating) and how organizations struggle with AI implementation. Drawing from his extensive work with law firms and major corporations, Conor explains why being an early adopter is crucial, the reality of AI agents, and why understanding large language models now is essential for managing AI employees in the future. He reveals that despite the legal industry being perfectly positioned for AI transformation, adoption rates aren't necessarily higher than other industries. The episode concludes with insights on creating authentic content using AI tools like Claude and building sustainable practices in an AI-driven world.
Lawyers Who Learn 