There are certain conversations that feel timely because the topic is everywhere. And then there are conversations that feel necessary because they help us breathe a little easier inside that topic. That’s how this conversation with Alex Lee felt to me.
There’s so much noise around AI right now. So much urgency. So much pressure to adopt, to experiment, to optimize, to keep up. And because of that, many people are relating to AI the way we often relate to major change: with a mix of fascination, fear, guilt, and low-grade panic. What I appreciated so much about my conversation with Alex is that he didn’t feed any of that.
Yes, he has serious credibility in this space. He worked as a product manager at Google building AI hardware and software experiences, and he understood early that this wasn’t just another technology wave. It was a general-purpose technology that would touch everything. His path since then, founding his own consultancy, helping organizations move from dabbling to actual adoption, building practical frameworks for implementation, gives him plenty of authority to speak on the subject.
But what makes his perspective so valuable isn’t just what he knows about AI. It’s what he knows about people. Because the real question isn’t just, “How do we use AI?” It’s, “How do we stay human while we do?”
The Pressure to “Learn AI”
One of the first things Alex said that made me sit up straighter was this idea that people should stop trying to “learn AI.” At first, that sounds almost irresponsible. Aren’t we all supposed to be learning AI? Isn’t that the assignment right now? But the more he unpacked it, the more it made sense.
What he was really pushing against is the frantic, ungrounded belief that if you don’t master every new tool, every new model, every new update, you’re going to be left behind. That mindset creates exactly the kind of anxious, reactive relationship to technology that keeps people from using it well. Alex’s point was not that we should ignore AI. Quite the opposite. His point was that we need a better relationship with it, one that is grounded in judgment, discernment, and experimentation, not panic.
Because in so many workplaces right now, AI is being introduced into environments that are already overloaded. Teams are stretched thin. Leaders are tired. Trust is variable. People are trying to keep up with changing expectations while still doing the jobs they already have. In that context, “go learn AI” can feel less like an invitation and more like one more way to feel inadequate.
Alex offers another path. Instead of trying to become experts in everything, he suggests we become better at something much more durable: Taste.
Taste as a Human Advantage
This was the part of the conversation I found most compelling. Alex talks about “tastemaking” as one of the essential human skills for the AI era. And I loved that language immediately, because it moves the conversation away from technical proficiency and toward something more intuitive, creative, and deeply personal.
Taste is knowing what you like and what you don’t. It’s sensing quality. It’s having standards. It’s being able to look at five different outputs and say, “This one feels right,” or “That one misses the mark,” or “This sounds like me, and that doesn’t.” In other words, taste is discernment applied through identity. And that’s a very different conversation than “How many AI tools have you learned?”
Taste is also something that many people underestimate in themselves. We often think of it as belonging to artists or designers or people in obviously creative fields. But Alex makes the case, rightly, I think, that taste matters everywhere. In leadership. In writing. In hiring. In strategy. In communication. In brand. In how we decide what good looks like.
The reason this matters so much with AI is that these tools are incredibly good at generating options. What they are not good at is being you. They can produce. They can remix. They can accelerate. But they cannot decide what is meaningful, aligned, elegant, wise, or true to your voice. That part still belongs to the human being.
And maybe that’s the reframe so many people need right now: AI is not asking us to become less human. It’s asking us to become more intentional about the parts of our humanity that matter most.
The Anxiety Is Real, and So Is the Opportunity
I also appreciated that this conversation didn’t pretend the anxiety around AI isn’t real. It is real. People are worried about ethics. About voice. About environmental impact. About whether productivity expectations will become even more inhumane. About whether organizations will chase efficiency without asking what it’s costing the people inside them.
Those concerns matter. They should be discussed openly. And Alex doesn’t dismiss them. He actually made space for them in a way that felt both responsible and useful. That matters to me, because I think one of the easiest ways to lose people in AI conversations is to make it all sound inevitable, shiny, and frictionless. That kind of framing often erases the very real emotional and moral complexity people are carrying.
Instead, Alex speaks about AI with a kind of calm accountability. Use it. Experiment. Learn. But do so consciously. Keep your hand on the wheel. Preserve your voice. Question your assumptions. Stay alert to the impact, on your team, your work, your energy, and your values. That is the kind of grounded, adult conversation I think we need much more of.
What Leaders Need to Understand Right Now
One of the clearest implications of this conversation is that AI adoption is not just a technology challenge. It is a leadership challenge.
Leaders who rush AI into their organizations without attending to fear, trust, and psychological safety are going to create more resistance than transformation. Leaders who frame AI only as a productivity tool may unintentionally intensify the very burnout they’re hoping to solve. And leaders who ignore the human side of this transition will miss the biggest opportunity of all: helping people elevate into higher-order thinking, creativity, and judgment.
What Alex is really pointing toward is this: if AI can take more of the repetitive, low-value, mentally draining work off people’s plates, then leaders need to decide what they want to do with the space that opens up.
Do we simply fill it with more work, or do we use it to create better work? That’s the question underneath all of this. And I think that’s why this episode feels so relevant to Ilene’s listeners, to our listeners. Because this isn’t just a conversation about AI. It’s a conversation about human flourishing inside change.
Two Small Places to Begin
I loved that Alex ended with practical, low-barrier actions rather than grand prescriptions. The first was to “invite AI to the party.” In other words, start using it on real tasks. Not as an abstract learning exercise, but as a helper for actual work you’re already doing. Let it take first passes. Let it help organize. Let it reduce friction. Notice what happens.
The second was to ask AI for multiple perspectives. Not one answer. Three. Five. Different angles. Different tones. Different framings. Then practice using your own judgment to decide what fits. Both of these suggestions matter because they build relationship without dependence. They help people move from fear into experimentation while keeping their own discernment active. And that, to me, is the key.
What This Invites Us to Practice
If I were distilling this conversation into what it invites all of us to practice, I would say this: It invites us to become more discerning. More self-aware. More intentional about our voice, our values, and our standards. It invites us to stop outsourcing our judgment and instead sharpen it. It invites us to use technology to support our humanness, not flatten it.
For leaders, that may mean helping teams talk honestly about their fears and assumptions around AI. It may mean protecting brand voice and human nuance while embracing efficiency where it genuinely serves. It may mean giving people permission to experiment without demanding immediate mastery.
For individuals, it may mean paying attention to where AI frees you up for better thinking, and where it tempts you to disengage from your own. It may mean getting clearer about your taste, your strengths, and the parts of your work that feel most alive.
And for all of us, it may mean asking a better question than “How do I keep up?” Maybe the better question is: How do I become more fully myself in the middle of all this change?
A Few Practical Starting Points
If you want to begin experimenting in the spirit of this conversation, here are a few simple places to start:
- Use AI on one real task you normally avoid or procrastinate on, and notice what kind of mental space it gives back to you.
- Ask AI for three different ways to approach a problem, then practice choosing based on your own standards and instincts.
- Pay attention to moments when AI-generated language sounds almost right but not quite, that gap may teach you something important about your own voice.
- Talk with your team about what they’re hopeful about, what they’re worried about, and what they want to preserve as AI becomes more present.
- Get curious about your own taste. What do you know is good when you see it? What do you want your work to feel like, sound like, reflect?
The Opportunity Beneath the Noise
There is so much noise right now around AI. So much urgency to optimize, automate, and accelerate. What I appreciated about Alex is that he kept bringing the conversation back to the person in the middle of all that noise: The human being trying to make thoughtful choices in a world that is changing very fast.
That’s the conversation I want more of. Not “How do we win at AI?” But “How do we remain awake, ethical, creative, and human as we use it?” To me, that’s where the real possibility is.
