Why AI Feels Fast But Doesn't Feel Easier
From Building Thinkers: Accessible Blueprints for Learning & Life by Tracy Clark
May 22, 2026 · 44 min · Season 4 · Episode 11
About this episode
The episode discusses the misconceptions around AI tools and emphasizes the need to rethink workflows rather than just integrating AI into existing processes.
If you've been using AI tools and quietly wondering whether they're actually saving you time, or whether you're just doing the same work in a different order, this conversation is for you. I sat down with Max Kirchoff, a principal technologist and product-focused engineer who writes about the intersection of humans and machines on his Substack, Human of the Loop . What I love about Max is that he's not afraid to say most of us have been getting AI wrong, not because the tools aren't powerful, but because we keep bolting them onto the way we already work instead of pausing to rethink the work itself. We get into the four layers of work and where AI actually pays off, why "building trust with AI" is the wrong frame, and what leaders are missing when they chase efficiency instead of growth. If you've been feeling the dissonance between how fast AI lets you start things and how the work itself doesn't always feel easier, you're going to find a lot here. Key Takeaways: AI doesn’t fail because the tools are weak; it fails when you bolt it onto workflows you haven’t rethought. Most people apply AI at the task level; the real leverage is at the workflow layer and above. You…
People in this episode
Host: Tracy Clark
Guest: Max Kirchoff
Topics covered
- AI tools
- workflow efficiency
- human-machine interaction
- trust in AI
- leadership in AI adoption
Keywords
- AI
- efficiency
- workflows
- trust
- leadership
- growth
- technology
Mentioned in this episode
Organizations: Human of the Loop
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