AI Helps Us... Think Less
At some point, you stopped attempting to solve a problem on your own before asking an AI. You can't remember the exact day it happened, and that quiet transition is precisely the issue.
AI Doesn't Reason; It Predicts
Nobody will say this during a glamorous keynote, but current AI possesses no innate curiosity, no discernment, and zero capacity for existential doubt. It operates strictly upon directives and training distributions. What resembles original thinking is, at best, a remarkably sophisticated mirror reflecting everything that already exists.
This isn't cynicism, it's a clear-eyed technical reality. And grasping that difference completely shifts how we ought to leverage these tools.
The Habit That Empties You
The risk isn't using AI occasionally; it's what happens after relying on it continuously over time.
AI doesn't merely patch your blind spots, it habituates you to coexisting with them. You delegate a creative blocker once because it makes sense. You delegate a second time because you're on a tight deadline. Eventually, you stop questioning whether you possessed the intellectual horsepower to solve it yourself.
And that is the quiet seduction: it never feels like a loss. It feels like an efficiency gain, until you pause, look inward, and realize there is less independent cognitive muscle than there was before.
When Everyone Can Generate the Same Thing
Whenever a technology emerges that enables the frictionless reproduction of something once unique, history repeats itself: what was singular becomes commoditized, and what was valuable by virtue of being irreproducible loses its currency.
In the 1930s, philosopher Walter Benjamin examined this phenomenon through the concept of the "aura", that unrepeatable presence belonging to an artifact born from a singular perspective and context. He was reflecting on photography and cinema, but the structural pattern applies directly to generative models.
An idea synthesized by an LLM possesses no aura. It doesn't originate from a specific lived experience; it emerges from the statistical median of human culture, which is functionally equivalent to originating from nowhere at all.
"An idea synthesized by an LLM has no aura. It originates from the statistical median of culture, which is functionally equivalent to originating from nowhere at all."
We are already seeing this across digital products: open three competing applications and the onboarding journeys are indistinguishable, the interaction archetypes are homogenizing, and solutions materialize before anyone understood the root user dilemma.
The market will notice this sooner than we think. When anyone can generate plausible UI in seconds, the single asset that becomes exceedingly scarce, and therefore extraordinarily valuable, is discernment.
Faster Is Not Inherent Progress
Tech circles frequently boast about 10x individual productivity curves. On raw spreadsheets, that may well bear out. But velocity metrics alone obscure the larger picture.
Greater capacity to produce without an equal capacity to decide what to produce is not progress, it is an amplification of noise. If you were previously generating mediocre software at human pace, you can now generate it at industrial volume.
If you have discernment, AI acts as an expansive lever. If you lack it, AI simply provides the horsepower to sprint in the wrong direction without noticing until it's too late.
Your Taste: The Last Non-Delegable Advantage
Here lies my core prediction: in the age of synthetic generation, personal taste and judgment will matter more than ever before.
Precisely because anyone can manifest anything, the one responsibility that cannot be outsourced is deciding what is genuinely worth creating, and for whom.
AI gives you velocity, scale, and immediate synthesis of knowledge that once demanded decades to accumulate. What it cannot supply is the right underlying question, nor the taste to recognize it when it emerges. That advantage comes solely from having thought deeply, failed repeatedly, and cultivated human empathy in ways that cannot be compressed into a prompt.
For digital product designers, the takeaway is clear: the market will be flooded with products that boast flawless visual execution but carry zero intentional thought behind them.
The competitive divide won't be defined by who prompts the machine best, but by who still has the patience and clarity to understand the human problem before opening a tool.
Let us use AI by all means, but let us never allow thinking for ourselves to be the price we pay to use it.