Evidence of a Life Lived: The Last Human Signature
There's this thing that will eventually happen when you're scrolling through your third consecutive hour of AI-generated fashion campaigns at 1 AM, each one more perfectly calibrated to your aesthetic preferences than the last, and you realize with a kind of sick clarity that taste isn't dying because of AI. Taste was already in trouble the moment we started A/B testing our souls and optimizing our personalities for engagement metrics.
What I'm arguing is this: the coming creative catastrophe isn't about machines getting too good at making advertising-at-scale or iPhone apps or art. It's about people forgetting what makes human creativity irreplaceable — the unmistakable fingerprints of someone who's been places and felt things and made choices that mattered.
But now something even stranger is happening. AI isn't just getting better at making things; it's getting better at *being* things. At acting autonomously in the digital world. The new generation of AI agents doesn't just respond to prompts—they execute code, connect to your business systems, remember context across hours-long sessions, and coordinate multi-step workflows without human intervention. They're not just tools anymore; they're digital employees with access to your data, your processes, and increasingly, your decision-making authority.
Do you remember the last time you discovered something by accident? Like, truly discovered it. Stumbled into it while trying to catch your breath at a warehouse party. Found it dog-eared in a Greenpoint apartment cosplaying as an IYKYK bookstore. Inherited it from your old roommate's ex-situationship who left their entire record collection in their parents' 5-car garage in Calabasas. The algorithm doesn't do serendipity. It calculates precision strikes on your dopamine receptors, each recommendation an expertly aimed war-drone at the exact center of what you already think you know you like.
But what happens when the algorithm isn't just recommending—it's *doing*? When it's not just suggesting the next song, but actually composing the playlist, booking the venue, and coordinating the entire event? When AI agents can maintain context for hours, execute complex workflows, and make decisions based on patterns you didn't even know existed in your data?
The paradox is beautiful and scary: AI is so good at producing the expected that it's accidentally creating a market for the genuinely unexpected. Which means the future belongs to people willing to be professionally weird. Not quirky or "disruptive," but genuinely committed to their own strange obsessions.
The Age of Invisible Automation
This is on my mind because I just watched a sixteen-year-old on TikTok explain Virgil Abloh's 3% rule like it was scripture, and I wanted to scream. Not at her — she's just a passionate kid trying to make sense of a world where originality feels impossible. But at the mythical creative-industrial complex that convinced an entire generation that innovation means changing the font on someone else's idea.
We're living through the creative equivalent of inbreeding, each new "disruption" just a slightly mutated copy of the last, until we're all just remixing remixes of remixes. But now imagine this process happening at machine speed, with AI agents that can analyze your entire creative history, cross-reference it with millions of other patterns, and generate "new" work that's technically original but fundamentally derivative. An infinite scroll of "you might also like" that leads nowhere new, executed by systems that never sleep.
The new AI capabilities represent something qualitatively different from what came before. Claude 4 shipped yesterday so an AI agent can maintain context for an hour, connect to your project management system, analyze your financial data, and generate actionable insights—all while you're in a meeting or asleep—we're not just talking about faster execution. We're talking about a fundamental shift in how decisions get made.
Let me tell you about someone I heard about from our Bushwick high school soccer pitch that we co-opted as a dog park. They spent four months in a Kyoto basement learning to cultivate 300-year-old koji spores from a miso master whose family has kept the same culture alive since the Edo period. Not because he wanted to start a fermentation studio (though he probably will, because capitalism ruins everything eventually), but because he tasted a spoonful of aged miso at a temple meal and experienced what he could only describe as 'eating time itself.' All those centuries of careful tending transformed into pure umami. That's taste. The kind of obsessive, inconvenient, financially irresponsible pursuit of understanding that no amount of computational power can replicate.
But what happens when there's no one left who remembers how to do that? When creative decisions are mediated through AI agents that have been trained on the aesthetic preferences of a million focus groups and can execute on those preferences autonomously, 24/7, across every platform and touchpoint? When "good taste" just means having the $250 subscription tier that gives you access to the premium "inspiration" models?
The Automation of Intuition
Here's what's different about this moment: we're not just automating execution (the making) anymore. We're automating intuition. These new AI agents don't just follow instructions—they can ostensibly make creative leaps, synthesize information across domains, and generate insights that feel genuinely surprising. They can look at your data and notice patterns you've missed, suggest strategies you haven't considered, and even create content that feels personal and specific.
This is the part that triggers the Sunday, Monday, Tuesday, Wednesday, Thursday and Friday night scaries. Not because the AI is becoming too Skynet powerful, but because we're becoming too dependent on it for the very thing that makes us human: the ability to make unexpected connections based on lived experience.
We're already seeing the template-monoculture-homogenization everywhere: AI-generated LinkedIn thought leadership posts that all use the same conversational hooks ("Here's the thing about X that nobody talks about..."), productivity apps with identical pastel gradients and sans-serif fonts that scream "mindful optimization," new restaurants having the same neon sign aesthetic that photographs well under ring lights. Indie D2C Fashion brands launching "AI-designed" collections that look suspiciously similar because they're all trained on the same Pinterest boards. Even rebellion has been commodified into templates—"disruptive" startups with similarly deliberately imperfect logo (or all the variations of star icons signifying AI), the same "authentic" behind-the-scenes TikTok strategy, the same calculated vulnerability in their founder's LinkedIn posts about mental health and hustle culture.
Music is perhaps the most obvious casualty: streaming algorithms have trained entire cohorts of artists to front-load their hooks, optimize for playlist inclusion, and chase the 15-second TikTok moment that drives virality. The result is a sonic monoculture where even genres that used to represent genuine subcultural resistance—hyperpop, drill, bedroom pop—get smooshed and flattened into algorithm-friendly versions of themselves. When Spotify's AI DJ can seamlessly blend tracks because they're all optimized for the same engagement metrics, you know we've lost something... essential. But now imagine this aesthetic flattening happening not just in design, but in strategy, in business logic, in the fundamental assumptions about how things should work.
When an AI agent can analyze your competitors, identify market gaps, and generate a comprehensive business plan—all while you're sleeping—what happens to the messy, inefficient process of human intuition? The back-to-the-office-after-dinner-to-take-another-run-at-the-brief conversations that lead to breakthrough insights? The wrong turns that accidentally become right ones?
The Coming Creative Extinction Event
Here's an insight that's hard to hear: we're about to witness the largest creative extinction event in human history. Not because AI will replace artists and designers (that's the obvious YA dystopia novel everyone's already worried about). The real catastrophe is that we're going to forget why human creativity matters in the first place.
Think about it. Every generation inherits its taste from the previous one, then rebels against it to create something new. But what happens when the previous generation's taste is just "whatever the algorithm showed me"? What do you rebel against when the entire creative landscape is a smooth gradient of optimized sameness, executed by systems that never make the beautiful mistakes that lead to breakthrough moments?
Every generation inherits its taste from the previous one, then rebels against it to create something new. But what happens when the previous generation's taste is just "whatever the algorithm showed me"? What do you rebel against when the entire creative landscape is a smooth gradient of optimized sameness?
The answer is devastating in its simplicity: you don't. You can't rebel against nothing. You can't find your voice in opposition to silence. And so an entire generation grows up without ever developing the muscles necessary for genuine creative thought — the patience for boredom, the tolerance for frustration, the ability to sit with discomfort long enough for something actually new to emerge.
But here's a more subtle danger: these new AI capabilities are so seductive because they work so well. They really can make your business more efficient, your insights more comprehensive, your execution more flawless. The temptation to delegate not just the boring stuff, but the creative stuff, becomes overwhelming. Why spend months developing a creative vision when an AI agent can analyze market trends, customer feedback, and competitive positioning to generate a data-driven strategy in hours?
This is why certain rare individuals matter so much right now. The ones who understand that true innovation comes not from optimizing existing patterns, but from the messy, inefficient process of translating lived experience into something tangible. They're the people who combine aesthetic vision with the ability to build, who understand that design isn't a coat of paint you apply at the end but the bones of the thing, the reason it exists in the first place.
This is why certain rare individuals matter so much right now. The ones who understand that true innovation comes not from optimizing existing patterns, but from the messy, inefficient process of translating lived experience into something tangible. They're the people who combine aesthetic vision with the ability to build, who understand that design isn't a coat of paint you apply at the end but the bones of the thing, the reason it exists in the first place.
The Last Human Signature
But here's the classic Cannes Lions case film twist, the thing that might save us if we're paying attention: AI is so good at producing the expected that it will accidentally create a market for the genuinely unexpected. The weirder, more personal, more inexplicable your creative choices become, the more valuable they are. Not because they're "authentic" (death to that cursed word), but because they're specific. Because they come from a particular body moving through particular spaces at a particular moment in time.
And this is where the new AI capabilities reveal their own limitations. Yes, an AI agent can maintain context for hours, execute complex workflows, and generate sophisticated analyses. But it can't experience the specific spiky cocktail of anxiety, excitement, and caffeine that led you to make that one weird design choice at 11pm or the headline that didn’t completely make sense to you or your partner at midnight but was genius when read it out loud to the CCO at 10 am the next morning. It can't replicate the way your grandmother's laugh influenced your sense of humor, or how getting lost in a sketchy part of Baltimore trying to find where Fever used to be shaped your understanding of space and navigation.
I'm talking about that person who spent four months in a Kyoto basement because a spoonful of miso made them understand time differently. The showrunner who includes a three-minute digression in the middle of an episode about their Oklahoma grandmother's Marlboro cigarette holder because it's the only way to explain how they think about love. The founder who builds a product that only makes sense if you've ever been twenty-three and heartbroken at 4 AM outside a Berlin museum that used to be a bunker.
These are the things AI can't do. Not because it lacks the technical capability—it can analyze emotional patterns, understand cultural references, even generate content that feels personal. But it lacks the prerequisite experiences. It's never been lonely. It's never been embarrassed. It's never fallen in love with the obviously wrong person or thrown up from motion sickness and too many street skewers in a Manila taxi or cried at a Joan Mitchell painting, inside an echoingly empty just before closing time Fondation Louis Vuitton, without understanding why.
And this matters more than we realize, because taste isn't about knowing what's cool. It's about knowing what you love so deeply that you're willing to look stupid for it. It's about developing the kind of obsessive, inconvenient commitment to your own strange way of seeing the world that can't be optimized or A/B tested or automated away.
The Future of Human Relevance
So here's what I want to see in the next few years (a decade is too long and too late): the rise of people who are willing to be professionally weird. Not quirky, not "disruptive," but genuinely, uncompromisingly committed to their own peculiar obsessions. The people who understand that in a world increasingly mediated by machines trained on averages, specificity becomes the most valuable thing of all.
The companies that win won't be the ones with the best AI models and agents (those will be commodities soon enough). They'll be the ones founded by people who've actually lived outside the algorithmic bubble for meaningful periods of time. Who understand that efficiency isn't the only virtue, that the most interesting solutions often come from the most inefficient processes.
They'll be the people who use AI agents as tools but never as substitutes for judgment. Who understand that the goal isn't to eliminate human decision-making, but to amplify human intuition. Who build systems that enhance rather than replace the irreplaceable human capacity for unexpected connection and meaning-making.
Because in the end, that's what taste really is: evidence of a life lived. Callouses. Scars. Laugh lines. Proof that a particular consciousness moved through the world and paid attention to what it found there. The algorithm can give you what you want, but a person can give you what you didn't know you needed. And that gap — between the expected and the essential — is where the future lives.
Because in the end, that's what taste really is: evidence of a life lived. Callouses. Scars. Laugh lines. Proof that a particular consciousness moved through the world and paid attention to what it found there. The algorithm can give you what you want, but a person can give you what you didn't know you needed. And that gap — between the expected and the essential — is where the future lives.
We're living through a moment when friction is being systematically eliminated from so many aspects of human experience. AI agents can now handle complex workflows, maintain context across extended sessions, and execute sophisticated strategies without human intervention. But friction is where the interesting stuff happens. The heat is where personalities develop and preferences form and people figure out what they actually care about when no one's watching.
The smooth, frictionless world that AI marketers and evangelists promises us can be a cold world without texture, without surprise, without the beautiful accidents that come from imperfection. When AI agents can optimize everything, the value shifts to the things that can't be optimized: the weird personal obsessions, the seemingly illogical creative choices, the decisions that make sense only in the context of a specific human life.
So let's make this count. Let's be the ones who remember that being human isn't a bug to be fixed but a feature to be celebrated. That our flaws aren't optimization opportunities but the source of everything interesting we'll ever create. That we don't need perfect efficiency to create perfect moments of connection and understanding.
The last human signature isn't about being the best. It's about being irreplaceable. And the only way to be irreplaceable is to be yourself — not the version of yourself that tests well or performs optimally, but the messy, complicated, gloriously specific version that could never be replicated by any algorithm, no matter how sophisticated.