I recently watched a fascinating short from Marketing Against the Grain featuring Kipp Bodnar and Kieran Flanagan discussing a question many of us are asking: How do we stay employable in an AI-dominated future?
The answer was refreshingly simple yet profound. It’s not about competing with teenagers who grew up digital-native or with AI systems that can process information at lightning speed – it’s about embracing fundamental human qualities that remain valuable regardless of technological shifts.
Curiosity as a Career Superpower
What struck me most was the emphasis on curiosity as a non-negotiable trait. In my experience working with businesses across various industries, I’ve consistently seen that the most valuable team members aren’t necessarily those with the most technical skills, but those who maintain an insatiable desire to learn.
Curiosity drives us to:
- Stay ahead of industry trends before they become mainstream
- Question assumptions that might be limiting growth
- Discover unexpected solutions to complex problems
This quality can’t be programmed into AI systems. They can process what they’re trained on, but they lack the human spark that makes us wonder “what if?” and pursue knowledge for its own sake.
The Bias Toward Action
The second key insight from the discussion was the importance of having a “strong bias to try things out.” This resonates deeply with my own philosophy about business and marketing. I’ve seen too many professionals get stuck in analysis paralysis or endless planning cycles.
Take action, try things, go out there and show validate your ideas.
This approach, which they referred to as the “demo memo” mindset, is something I’ve advocated for years. Instead of writing lengthy proposals about what might work, build a quick prototype and test it. The feedback loop from actual implementation teaches more than any theoretical exercise.
In my work with entrepreneurs, I’ve found that this action-oriented approach separates those who succeed from those who merely dream. It’s about:
- Creating minimum viable versions of your ideas
- Getting them in front of real users quickly
- Learning from the results and iterating
- Repeating this cycle continuously
This process builds practical wisdom that no amount of reading or planning can provide. It’s experiential learning at its finest.
Building a Culture of Experimentation
What I found particularly valuable was the mention that these traits form the foundation of their company culture. This suggests that organizations are actively seeking these qualities, not just in individual contributors but as cultural cornerstones.
As AI continues to transform the workplace, I believe companies will increasingly value team members who bring these human elements to the table. The ability to remain curious, take initiative, and learn through doing will distinguish valuable contributors from those who can be replaced by automation.
For professionals concerned about future employability, focusing on developing these traits offers a path forward that doesn’t require competing with AI on its terms. Instead, it’s about doubling down on uniquely human capabilities that complement rather than compete with technological advancement.
My Advice: Practice Curiosity and Action Daily
If you’re looking to future-proof your career, start by building habits that strengthen these muscles. Subscribe to sources outside your immediate field. Set aside time each week to experiment with new tools or approaches. Create small projects that force you to learn by doing.
The future belongs not to those who can outperform AI at computational tasks, but to those who can bring the human elements of curiosity, creativity, and bias toward action that AI simply cannot replicate. These are the skills that will keep you not just employable, but invaluable in the changing landscape of work.
