Don't Replace Humans. Amplify their Capabilities. A Case Study

In this compelling session from the Artificial Unintelligence Conference 2025, Daniel Lundin shares a real-world case study demonstrating how AI can enhance human performance instead of replacing it. Drawing from practical experience, he shows how the most successful AI systems are designed to amplify human judgment, creativity, and decision-making rather than automate them away.

Daniel explores what true human-AI collaboration looks like in practice — from integrating AI into existing workflows to designing systems that measure success through human outcomes like productivity, satisfaction, and confidence. His case study reveals how organizations can achieve scale and innovation by building AI tools that empower people to do their best work.

Key themes include:

Why AI should augment, not automate, human capability

Designing systems around human judgment and context

How hybrid human-AI decision-making improves quality and trust

Measuring AI success through human outcomes

Building organizations around partnership, not replacement