The interface trap: Why your AI adoption is failing (and how to fix it) | Kaisa Martiskainen
Is your team actually using AI, or are they just playing with it?
In this episode of Human X Intelligent, host Madalena Costa sits down with Kaisa Martiskainen, AI Operations lead, to uncover the hidden gap in corporate AI adoption. While usage metrics might be up, true understanding is often lagging. Kaisa explains why providing access to chatbots isn’t the same as building capability and how the 'Interface Trap' prevents organizations from seeing the real value of AI.
In this episode, we explore:
The missing conceptual layer: Why mental models are more important than tool proficiency.
The interface trap: How limiting AI to a chatbot window narrows your strategic vision.
Human learning vs. Machine speed: Why humans need friction and failure to truly 'get' AI.
Predictors vs. knowers: Understanding the three foundational concepts every employee needs before their first prompt.
Beyond surface level: How to transition from "interacting" with AI to 'integrating' it into your organizational DNA.
If you’re a leader, manager or individual contributor feeling overwhelmed by the AI hype, this conversation will help you shift from reactive usage to intentional system thinking.
Connect with Kaisa Martiskainen:
→ LinkedIn: www.linkedin.com/in/kaisamartiskainen
→ Substack: https://mamaknowsai.substack.com
Human × Intelligent is a podcast at the intersection of design, AI and human agency. Hosted by Madalena Costa.
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Guest bio
Kaisa works at the intersection of technology and human understanding. She helps organizations and individuals understand how to work with artificial intelligence in practical, thoughtful ways, focusing not just on tools, but on how technology changes the way people think, learn and make decisions
Chapter timestamps
00:00 – Use vs. Understand
01:09 – Real AI Adoption
02:49 – AI Mental Models
04:29 – The Metrics Myth
05:35 – How Humans Learn AI
07:21 – 3 Rules of Prompting
10:06 – The Interface Trap
12:38 – Access ≠ Capability
15:47 – AI as a Collaborator
17:28 – The Teaching Problem
19:54 – A Learning Challenge
21:43 – The "Ideal" AI Org
24:32 – The Best Investment
25:49 – Where to Learn More
26:57 – Final Takeaways
Concepts to explore further:
→ AI vs Automation
→ AI as a multiplier (not a fixer)
→ Problem-first vs technology-first thinking
→ User trust in AI systems
→ AI readiness (data, workflows, goals)
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Hosted by Madalena Costa · Senior product designer and AI systems strategist