Mikkel B. Rasmussen brings a rare lens to the AI conversation. As an applied anthropologist, he has spent decades helping companies like LEGO uncover what is really going on beneath the surface.

In this episode, he shares how deep insight often begins with being wrong, why surprise is the clearest sign you have found something meaningful, and how the pain of not knowing is essential to breakthrough thinking. He also explains how AI is transforming his own research, from pattern recognition to video ethnography, and introduces a provocative idea: Anthropology Without Anthropologists.

Jeremy and Henrik reflect on what it means to teach AI how to surprise us, how synthetic data might reshape experimentation, and why better insights begin with better questions.

Key Takeaways

• Insight starts with being wrong
  Mikkel defines insight as the gap between how we think the world works and how it actually is. Anthropology helps uncover these mismatches, and that is where real breakthroughs begin.
• Pain is part of the process
  Mikkel and Jeremy both reflect on the emotional struggle that precedes insight. The doubt, sleepless nights, and questioning whether the work will ever come together is not failure. It is a necessary stage of discovery.
• Surprise is a signal
  The moment of surprise, when a new pattern emerges or an assumption is shattered, is at the core of applied anthropology. For Mikkel, it is the clearest sign that you have found something real.
• AI can accelerate experimentation
  Mikkel shares how AI is already helping his team analyze patterns, run faster experiments, and even conduct interviews that outperform humans in some cases. The goal is not to replace people but to push the limits of what is possible.

HARL: humanactivitylab.com

00:00 Intro: Why This Conversation Matters
00:25 Meet Mikkel: Founder of Human Activity Laboratory
01:14 Understanding Anthropology and AI
03:32 Applied Anthropology: Tools and Techniques
04:56 The Role of Narratives in AI
07:06 The Importance of Sensory and Social Dimensions
13:06 Case Study: LEGO and the Anthropology of Play
21:07 The Role of Surprise in Anthropology
27:51 AI and Human Synergy
31:26 Exploring AI's Limitations and Potential
32:46 Anthropology Without Anthropologists
34:17 AI's Role in Generating Insights
37:23 Human Bias in AI-Generated Ideas
42:05 Synthetic Data and Its Applications
47:34 The Future of AI in Anthropology
49:25 The Debrief

📜 Read the transcript for this episode:

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

Henrik: https://www.linkedin.com/in/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.