The missing fingerprint.
I recently opened an email, read the first line, and thought, “An AI wrote this.” A few hours later, a colleague referenced the same email and called it “the AI-generated message.” The email was, in fact, generated by an AI. To be clear, I don’t think there is anything wrong with an AI-generated email; many employers are pushing AI use because they assume it’s more efficient, and the email is just the symptom of that push. What most fascinated me was that despite knowing who the email came from, both my colleague and I immediately knew how it was authored.
This is an interesting phenomenon playing out in organizations deploying AI today. A growing bifurcation between AI users and non-users. Or rather, the observable users and non-users. For organizations, deployment metrics are the point. They’ve invested in a technology they want to see widely adopted with the goal of creating efficiencies and increasing profit margins.
The C-suite heard: more efficiency, and less human “risk.” You know, the messy part of managing humans: illness, exhaustion, expectations, opinions, or departures.
But there is something really lost in this discourse, and it goes back to the AI-generated email. How did I know the email was AI-generated? How did my colleague know? We aren’t walking AI-output detectors, but we don’t need to be. We already have an ear for the tone, voice, and style of the people we work with daily. The unique markers of their chosen words, how they punctuate, or what they emphasize: the specific fingerprints of human communication. The email was missing those markers.
We knew the voice of the person, and the voice of the person was absent.
Visibility wasn’t the tell; the absence was.
In the moment each of us read our colleague’s email, we didn’t pick up on “AI”; what happened was something deeper and not as obvious: we experienced the missing fingerprint of the coworker who sent it.
Have you ever received a text message and, before you registered the sender, you knew who sent it just by what the message said? Has someone ever told you a story and the whole time you were thinking, “this is so like you”? Those are our fingerprints. Fingerprints are so unique that they differ even between identical twins. Think about that.
The fingerprints were missing.
If you listen closely, you’ll hear that the silent grief under all the discourse about AI is erasure. Erasure of self. Erasure of creativity. Erasure of quirk. Erasure of the weird thing that ends up being the best thing. Erasure of the fingerprint.
Think about the last Monday you worked. You were coming off the weekend, and maybe you were in the field, a hospital, a plant, or an office; wherever you were, you started your day in front of a computer checking your email. Now envision that click after click, the messages sound the same. The only difference you register is in the variety of topics, but the tone, cadence, and voice are repetitive. No stray comma, no random metaphor, no unexpected pairing of words that makes you read the sentence twice. Just perfect structure and polish.
How would you feel? How would you feel if this was your experience day after day? What if the sender names were stripped? Would you still be able to recognize your teammate's voice? Your employees’? Your boss’s?
It turns out that humans aren’t just distinctive; we crave distinction.
And this is where the push for AI efficiency meets human resistance, and it happens both in and out of organizations. It starts with what I call message-action inversion. Message-action inversion is when the public builds meaning on what is said before it’s done. The messaging said, “We don't need humans; we need efficiency.” What we heard was, “You have no purpose, and you don’t belong.” And living with no purpose and no sense of belonging is the deepest human fear and wound.
The problem is that part of the inefficiency they want to eliminate is the fingerprint. It’s the exact friction point where who we are and how we project ourselves to the world meets a system designed to give us sameness. It’s a system that can erase the color from the world, the colleague from the email, and the fingerprint from the person.
I believe the solution is in the method.
It’s choosing where to use AI and how. It’s deciding the workflows where AI excels solo and those where the human touch is more important than saving ten minutes. It’s a fundamental shift from AI as replacement to AI as optimization. Not optimizing for profit or time, but optimizing for the union of AI-driven efficiency with the human fingerprint. This means looking closer at our place in the process. It’s never as simple as just choosing the beginning or the end. The choice should be at the exact point where our specific thoughts, voice, judgment, and decisions shape the AI’s output so completely that the output itself becomes the fingerprint that’s unapologetically ours.
The future is being written; it isn’t yet decided.
Some of the future is written, and AI is in that future; the rest is ours to write. Organizations are slowly realizing efficiencies, but those efficiencies cannot come at the expense of our creativity, innovation, and distinctiveness. So, we face a choice: adaptation through erasure, or adaptation through radical purpose.
This road is less traveled and, for many of us, it doesn’t even exist; we’re carving the path as we go. While the effort will be great, the journey will be worth it. We’ll retain the value of human contribution, our emails will be distinctly ours, and we won’t just preserve the best of ourselves in the process; our fingerprints will leave their marks.
Practically Beta, by Karida Palmer