Key Topics
- Why AI innovation can create a constant sense of FOMO
- How to decide which tools are actually worth exploring
- Starting with friction or problems instead of solutions
- Why experimenting with fewer tools can lead to deeper learning
- The difference between interesting vs. actionable inputs
- How social media amplifies technology hype cycles
- Creating boundaries between work, experimentation, and learning
Key Takeaways
- Don’t start with tools—start with problems.
Instead of trying every new technology, Teresa waits until she encounters friction or a real need before exploring a tool.
- Going deeper beats trying everything.
Exploring fewer tools in the context of real problems often leads to better understanding and more meaningful outcomes.
- Separate “interesting” from “actionable.”
Not everything worth reading about needs immediate action. Sometimes awareness is enough until a real opportunity arises.
- Create intentional learning time.
Petra blocks time to explore emerging technologies so experimentation doesn’t overwhelm her day-to-day work.
- Curiosity doesn’t require constant experimentation.
Staying informed about new tools is valuable—but that doesn’t mean you need to try them all immediately.
Discussion Question
How do you decide which new tools or technologies are worth exploring—and which ones you can safely ignore?
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