AI as a Mirror: Embracing Your "Weirdness" for Growth
AI isn't here just to replace or augment; it's here to reflect, challenge, and refine us. Discover how adopting a curious, questioning mindset helps leaders thrive in the AI era.
Futurist AJ Bubb, founder of MxP Studio, and host of Facing Disruption, bridges people and AI to accelerate innovation and business growth.
The AI Mirror: What It Reveals About You (and the Tech Giants)
Artificial intelligence is coming for our jobs, they say. It’s an existential threat. Or maybe it’s the greatest opportunity ever. For much of the discussion, we focus on AI itself - its capabilities, its limitations, its potential. But what if AI’s most profound impact isn’t on what it does, but on what it reveals about us?
AJ Bubb and guest Cody Johnston of “The Weird Canadian” join us to flip the script on AI. They dive into why AI acts as a mirror, reflecting our thoughts, biases, and potential back at us. They make a compelling case for optimism, suggesting AI can be a partner in personal growth, pushing us to question, learn, and even embrace our unique quirks.
This isn’t just about technology; it’s about redefining humanity in the AI era.
AI: Your Personal Growth Partner, Not Just a Tool
When Cody Johnston, known online as “The Weird Canadian,” talks about AI, he doesn’t just see algorithms and data. He sees a reflection. “AI right now is a mirror,” Cody explains. “It is a mirror to who you are, and it’s going to give you exactly what you want.” But then he adds a critical point: “You need to start training it to give it what you need to give you what you need.”
This idea cuts against the typical narrative of AI as a replacement or even just an assistant. Instead, Cody posits it as a powerful, albeit neutral, thought partner. “When I build my AIs, I make sure they tell me when I’m wrong,” he says. He forces them to create friction in the process, because “the friction is where you learn.”
AJ Bubb brings up a critical point here: we often resist this friction in human interactions. Asking “dumb questions” in a meeting can feel shameful. But with AI, that barrier drops. “I think AI takes away that shame,” AJ notes. “You could do it in private, right?” This privacy allows for fearless inquiry, essential for true understanding.
The beauty of this is that it democratizes learning. You can now engage with and challenge knowledge in a deeply personal way. Whether you need an AI to walk you through a website you find confusing or help you debug a complex problem, it removes the ego from the learning process. It means that whether you’re a seasoned leader or just starting, you can leverage AI to understand not just what to do, but why and how effectively.
Beyond Specialization: The Rise of the Orchestrator and Generalist
So, if AI is helping us learn and question, what does that mean for how we work and who we need to be? Cody sees a significant shift away from hyper-specialization toward a need for orchestrators and generalists. “The thing I see prevalent is orchestration more than anything else,” he states. “It’s not... no longer sitting with the actual code and trying to figure out the logic. It’s orchestrating.”
Imagine every engineer becoming a product owner. That’s the vision. You’d still need to grasp the fundamentals of every job – the programmer, the tester, the designer, the budgeter. Understanding token economics, for instance, is vital. This means being a generalist, someone not “tied to one identity,” as Cody puts it. You need to switch roles and perspectives based on context, because “context is key to everything.”
AJ elaborates on this point, highlighting the “resurgence of the hybrid role and the generalists.” He suggests that the more you can think holistically, the better equipped you’ll be. It’s about seeing “how to get to the base level of how you got there.” Instead of just knowing a single component, you connect the dots across entire systems.
Why this shift? Because we’ve spent decades hiding complex systems behind “walls and barriers” – layers of abstraction that made things easy but obscured understanding. Now, AI is peeling back those layers. If you understand the base layer, you can navigate any abstraction built upon it. This demands a deeper, more fundamental curiosity. It means asking “why” something works, not just “how” to operate it.
The Power of Understanding “The Base Layer”
Cody brings up a profound concept when discussing how we interact with technology and the world: “You need to understand basically how electricity works in order to understand how computers work, in order to understand how to program... that abstraction. If you understand the base layer, you go through each iteration.”
We build incredible systems on layers and layers of abstraction. Think of cloud services over infrastructure, or software-as-a-service over complex applications. These abstractions simplify, but they also hide. When something goes wrong, or when you want to innovate beyond the standard, you hit a wall. AI, with its capacity to process vast amounts of foundational knowledge, can help us “find the base” and then “come back up.”
AJ connects this to Carl Sagan’s famous quote: “If you wish to make an apple pie from scratch, you must first invent the universe.” It’s a humorous exaggeration, but it captures the essence – true understanding comes from grasping fundamentals.
This principle extends beyond tech. Whether it’s building a garden or understanding complex ecosystems, general concepts matter. The ability to break down systems, understand their core components, and then rebuild or innovate is what sets successful leaders apart. AI isn’t just giving us answers, it’s offering us a pathway to deeper comprehension. It enables us to “not know” and to leverage a powerful tool to bridge that knowledge gap, asking “how to better help me know.”
Imagination and Humanity’s True Goal: Self-Discovery
Despite all the talk of AI, Cody and AJ consistently circle back to the human element. Cody’s optimism “comes from human ingenuity.” He argues that humanity’s constant drive for “more” and “better” is what propels us forward. “The only reason we’re sitting here right now is because somebody thought this up and was like, ‘Oh, this would be cool to have,’” he reminds us.
He views humanity as “predicting machines.” We envision a future – like Star Trek – and then strive towards it, hitting barriers and adapting along the way. While AI can simulate and generate, Cody remains skeptical of its ability to replicate genuine human creativity and feeling. Our biological makeup, our “build-in feelings—chemical reactions,” are fundamental to our existence in a way AI might not be able to mirror.
AJ highlights a key distinction between innovation and invention. Innovation is about combining existing ideas to solve repeating problems, often a very mechanical process. Invention, however, is about finding novel solutions to problems we don’t even fully understand, especially those tied to how we feel about something. “That’s where we’re not going to replicate,” he states. “That’s what the human figures out.”
Cody even suggests that “Humanity’s goal is always been data aggregation.” We are constantly trying to figure ourselves and the universe out. And ironically, working with AI can make us more human. It helps us understand “why people do things, why I do things, what my fears are, how to get past them.” AI, by removing shame from questioning and friction from learning, allows us to tap into our innate curiosity and drive for self-discovery.
As we wrap up, Cody shares a powerful mantra: “Imagination is truly your only limit.” It’s not about what AI can do for us. It’s about what AI helps us discover about ourselves, and what we then dare to imagine and build. It’s about democratizing learning and curiosity, inviting anyone willing to take the risk to embark on a journey of profound self- and external discovery.
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