TECHNICALLY JOYFUL - Building Change Capacity in the Age of AI
Sep 8, 2026 · 17 min · 8 segments
How do you make a strategy when the terrain keeps changing underneath you? We often want a map to tell us what will happen next. But maybe that’s asking a map to do the wrong job. In this episode of…
Gabrielle KohlmeierHostMy kids, who were first-time Berlin residents, started taking themselves around the city on public transportation almost immediately.
We didn't have a car, it was glorious, and they especially took the U-Bahn, the subway.
Having been shuttled around suburbia the past years, they were initially nervous, but the subway map was their way in.
By week two, they had half the city memorized, and these kids were suddenly leading us through transfers, arguing about routes, telling me which exit to take.
Obviously, the maps didn't make Berlin smaller or the streets less complicated, and they definitely didn't guarantee the fastest route.
My kids could see where they were and where they could go so they could make a choice, watch what happened, and adjust.
The map helped them move from anxious to accepting that independence eagerly.
And lately, I've been thinking about maps a lot because I hear a version of the same question indirectly and sometimes flat out, "How am I supposed to make a strategy when everything keeps changing? How do I decide what to learn, where to invest, what to do next, when I don't know what AI or my industry or my own job looks like a year from now?" Fair questions, but I think we're asking maps to do something that maps were never meant to do.
[upbeat music] The only thing moving faster than change right now might be my relentless curiosity about the possibilities it creates, the new worlds it opens, what to watch out for, and how we get more comfortable with discomfort and uncertainty.
I'm Gabrielle Kollmeyer, and this is Technically Joyful, a space for us to build change capacity in the AI era, explore hard questions, find unexpected connections, useful ideas, and create the energy to shape what comes next.
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My kids, who were first-time Berlin residents, started taking themselves around the city on public transportation almost immediately.
We didn't have a car, it was glorious, and they especially took the U-Bahn, the subway.
Having been shuttled around suburbia the past years, they were initially nervous, but the subway map was their way in.
By week two, they had half the city memorized, and these kids were suddenly leading us through transfers, arguing about routes, telling me which exit to take.
Obviously, the maps didn't make Berlin smaller or the streets less complicated, and they definitely didn't guarantee the fastest route.
My kids could see where they were and where they could go so they could make a choice, watch what happened, and adjust.
The map helped them move from anxious to accepting that independence eagerly.
And lately, I've been thinking about maps a lot because I hear a version of the same question indirectly and sometimes flat out, "How am I supposed to make a strategy when everything keeps changing? How do I decide what to learn, where to invest, what to do next, when I don't know what AI or my industry or my own job looks like a year from now?" Fair questions, but I think we're asking maps to do something that maps were never meant to do.
[upbeat music] The only thing moving faster than change right now might be my relentless curiosity about the possibilities it creates, the new worlds it opens, what to watch out for, and how we get more comfortable with discomfort and uncertainty.
I'm Gabrielle Kollmeyer, and this is Technically Joyful, a space for us to build change capacity in the AI era, explore hard questions, find unexpected connections, useful ideas, and create the energy to shape what comes next.