Why Understanding Technology Beats Fearing It Every Time.

I have watched this industry transform more than once. But I didn’t learn that lesson in a conference room. I learned it in a small-town newspaper office, sitting next to my dad.

He was a newspaper editor, and for years I watched him lay out the weekly paper by hand. Wax paste-up boards. Headlines cut and placed by feel. It was methodical, tactile work, and he was good at it. Then desktop publishing arrived, and everything he’d built his process around became obsolete almost overnight.

He had a choice. Resist and get left behind, or learn the new tool and keep growing. He chose to learn. I can still picture him watching VHS tables to learn how to design in QuarkXPress, figuring it out with the same patience and precision he’d brought to the paste-up boards. He didn’t abandon what made him a great editor. He carried those instincts into a new medium and came out the other side better at his craft than before.

I think about that a lot when people ask me where I stand on AI.

The panic today sounds familiar: this changes everything, and not for the better. I heard a version of that coming from my Dad’s coworkers in the newspaper office too. And each time, the people who thrived weren’t the ones who resisted. They were the ones who picked up the new tool, studied it honestly, and asked a simple question: How does this help me do better work for the people I serve?

That’s where I stand with AI.

The Tool Isn’t the Problem. The Question Is How You Use It.

I’ve never believed that ignoring a technology makes it go away. It just means someone else learns to use it while you fall behind. And I’ve never believed that adopting a technology wholesale makes you innovative. It just means you’ve traded your judgment for someone else’s algorithm.

The path I trust is the one in between: understand the tool. Learn what it does well. Learn where it fails. Then decide, with intention, how it fits into your craft.

Dario Amodei, CEO of Anthropic, put it well in his essay Machines of Loving Grace:

“I think that most people are underestimating just how radical the upside of AI could be, just as I think most people are underestimating how bad the risks could be.”

That honest tension is exactly the right starting point. Not blind optimism. Not reflexive fear. Clear-eyed understanding of what we’re actually working with.

The Heart the Machine Can’t Replicate

Here’s what AI does well: it processes enormous datasets, recognizes patterns, accelerates research, and handles repetitive production tasks with speed I’ll never match. I’m not too proud to admit that.

Here’s what it can’t do: sit across from a client and hear what they’re not saying. Draw on twenty years of cultural context to know why a particular visual metaphor will land with one audience and alienate another. Make the creative leap from data to meaning. Care about the outcome.

Jacques Maritain, the French Catholic philosopher, spent decades thinking about the relationship between art and craft. In Art and Scholasticism, he argued that genuine creative work requires what he called “creative intuition,” a knowledge that lives in the maker, not in the method. You can systematize production. You can’t systematize the human judgment that transforms production into something worth caring about.

That’s the line I draw. AI brings the processing power. We bring the listening, the taste, the strategic thinking, and the stubborn insistence that the work has to mean something to the people it’s for.

The Danger of Letting the Tool Use You

I see it happening already. Teams generating content at scale without asking whether any of it is worth reading. Strategists feeding prompts into machines and presenting the output as insight. Creatives outsourcing ideation to algorithms and calling it innovation.

That’s not using a tool. That’s being used by one.

My conviction is that technology should hone our craft, not replace our thinking. The best woodworker doesn’t throw away his hand tools when he gets a CNC machine. He uses the machine for what it does best and keeps his hands on the work that demands human sensitivity.

The fundamentals of great design, compelling storytelling, and strategic thinking don’t change because the tools got faster. If anything, the speed makes those fundamentals more important. When anyone can generate content in seconds, the differentiator is the person who knows which content is actually worth creating.

What This Looks Like in Practice

Philosophy without action is just conversation. So here’s how I actually work with AI:

Discovery stays human. I listen first. Always. AI can help me process what I learn, but it can’t replace the act of sitting with someone, asking the right questions, and building genuine understanding. That’s where trust starts.

Strategy gets sharper, not automated. AI gives me better data, faster. I use it to pressure-test assumptions, identify patterns I might miss, and accelerate research. But the strategic decisions that shape a brand’s direction require human judgment informed by years of context no model can replicate.

Creativity remains mine. AI can iterate. It can remix. It can optimize. What it cannot do is originate. New ideas come from lived experience, cultural awareness, and the kind of unexpected connections that happen when a human brain wanders into territory an algorithm would never map.

Quality is non-negotiable. Every piece of AI-assisted output gets human review. Not a glance. A real critical assessment by someone who understands the client, their audience, and what good looks like.

Transparency is the baseline. I’m honest about when and how I use AI. No smoke and mirrors. Trust is built on clarity, and I’d rather lose a conversation than win it with deception.

Stewarding the Gift

Pope John Paul II, in Fides et Ratio, made the case that faith and reason aren’t enemies. They’re partners. Each one stronger because of the other. I think about technology the same way. Human creativity and artificial intelligence aren’t in competition. They’re in conversation. But only if we’re intentional about keeping the human voice in that conversation.

The people and organizations who will thrive in this landscape aren’t the ones racing to automate everything. They’re the ones who understand that AI amplifies whatever you bring to it. Bring shallow thinking, and you’ll get polished shallow output. Bring deep listening, strategic clarity, and genuine care for the people you serve, and you’ll get work that’s better than either human or machine could produce alone.

I choose to understand this tool. To use it wisely. To let it make me faster and more informed without letting it make me careless or generic. And to remember, every single day, that the craft was never about the tools. It was always about the craftsman.