🔍 Episode Overview
In this episode, Pavi Gupta shares his perspective on the evolving role of AI in market research and insights. With nearly three decades of experience, Pavi offers a thoughtful framework for balancing AI adoption with human-led inquiry, emphasizing intentionality, curiosity, and change management.
🧠 Key Topics Covered
- AI Adoption in Market Research
The tension between FOMO (Fear of Missing Out) and JOMO (Joy of Missing Out)
The need for balance in rapid AI adoption
- A Framework for AI vs. Human-Led Insights
A 2×2 matrix: Known vs. Unknown and Intuitive vs. Counterintuitive
AI’s strength in validation and freeing up human capacity for deeper exploration
- Human-Centered Insight Work
Reinvigorating curiosity in insights professionals
Shifting from validation-heavy work to higher-order thinking
- Change Management in AI Transformation
Why people, not just platforms and models, must be at the center of transformation
Understanding archetypes and risk profiles to tailor change strategies
- Leadership Lessons
The importance of top-down and bottom-up approaches
Embracing “baby steps” as a sustainable path to transformation
💡 Memorable Quotes
“If it’s not true, it’s not an insight.”
“Let the machine do the boring validation work. You go and do the stuff that actually gives you joy.”
“Change management shouldn’t be an afterthought—it should be the starting point.”
📈 What You’ll Learn
- How to prioritize AI applications based on business needs
- Why validation is a prime area for AI to augment human work
- What leaders often get wrong in AI transformation—and how to fix it
- How to build a culture of curiosity and resilience in the face of change

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