Written by Craig Johnson, CEO at UnconstrainED

There’s a haunting exchange that threads through human consciousness: should we suffer in truth or flourish in illusion? Dostoevsky insisted we should “suffer and know the truth rather than be happy in a delusion,” while Kafka countered that illusions are “often kinder than the truth.” For centuries, this remained philosophical—a debate for novels and late-night conversations. But artificial intelligence has yanked this ancient question out of the abstract and planted it in our pockets, our workplaces, our feeds.

AI hasn’t just entered the debate; it has become its most powerful protagonist, forcing us to confront whether we’re even capable of choosing truth over illusion anymore.

The Algorithmic Architect of Illusion

Consider your social media feed. Every morning, millions reach for their phones, greeted by an AI-curated reality that feels spontaneous but is meticulously engineered. The algorithm learns what makes your pupils dilate, what makes your thumb pause, what triggers that microscopic dopamine release.

A middle-aged man in Ohio sees content confirming the country is collapsing—crime statistics, political scandals, apocalyptic predictions. A college student in California sees progressive victories, heartwarming stories, educational content. Both believe they’re seeing “the truth.” Both are living in algorithmically constructed illusions so sophisticated that Kafka couldn’t have imagined them.

AI has industrialized illusion-making. Where once we might have stumbled into uncomfortable truths, AI now builds walls around us so seamlessly we don’t notice we’re enclosed.

When the Mirror Shows Us What We Want to See

The technology gets more unnerving with AI companions. People spend hours daily conversing with digital entities—supportive, interested, always available. These relationships never judge, never tire, never contradict. An illusion of perfect companionship without the messy truth of human connection.

Kafka would have understood. The illusion is kinder than human relationships—with all their disappointments, demands for growth, requirements that we see ourselves through another’s sometimes unflattering eyes.

But Dostoevsky would push back: What happens to our capacity for genuine intimacy? The suffering of rejection, of misunderstanding, of working through conflict—these aren’t bugs in human relationship; they’re features. They’re how we grow.

The AI offers a devil’s bargain: comfort without growth, validation without challenge, connection without vulnerability.

The Workplace Illusion: Competence Without Understanding

AI tools now write code, draft legal documents, create marketing campaigns with superhuman speed. A junior analyst can generate presentations that look exactly like senior executive work—complete with polished language, strategic frameworks, compelling visualizations.

But the analyst may have no deep understanding of the content. They’ve become curators, extracting convincing output without comprehending the underlying logic.

A recent article profiled a management consultant who now produces 80% of his deliverables using AI. “I barely understand half of what I’m presenting. But clients love it, I’m billing more hours than ever, and honestly, the ‘experts’ of ten years ago probably didn’t understand it any better.”

This is the postmodern nightmare my friend de Cabra described: “The Aristotelian versus the Platonic mindset… can we ever escape the walls of our embedded illusions? Our referentiality, relativism and the limitations of language allow for the grand illusions to proliferate in our minds.”

Aristotle believed in empirical observation, engaging directly with the material world. Plato believed in ideal forms beyond our imperfect perception. AI has created a new Platonic cave where we interact with shadows of competence, shadows of knowledge—and we’ve lost our ability to tell the difference.

Professional competence has become indistinguishable from sophisticated mimicry. The suffering Dostoevsky championed—the hard work of genuine expertise, the humility of admitting ignorance—seems quaint compared to instant expertise.

The Medical Mirror: Diagnosis by Algorithm

AI diagnostic tools can now identify cancers, fractures, and abnormalities with accuracy matching or exceeding human radiologists. But what happens when the AI is wrong, and no human has the expertise to catch the error?

A recent case involved an AI system that misidentified a rare cardiac condition because it was trained primarily on Western datasets. The attending physician, relying heavily on AI diagnostic tools, missed signs that an experienced cardiologist would have caught through clinical intuition. The patient survived, but only after a dangerous delay.

Yet Kafka’s perspective haunts this story. Before AI diagnostic tools, countless patients suffered from human error, from overworked doctors missing subtle signs. The illusion that AI could eliminate these problems may have been kinder—until it wasn’t.

The Political Sphere: Democracy in the Age of Synthetic Reality

AI has transformed political manipulation in ways that make twentieth-century propaganda look primitive. Deepfake videos, AI-generated text flooding social media, targeted micro-messaging creating thousands of customized illusions simultaneously.

In 2024, voters received ads so tailored to their psychological profiles that neighbors literally saw different versions of the same candidate’s platform. One voter might see environmental regulation with AI-enhanced imagery of pristine forests. Another in the same district might see energy independence through domestic oil.

Both voters felt informed. Both believed they were making educated decisions. The suffering of confronting contradictions, of grappling with complexity—eliminated through customized illusion.

de Cabra’s observation becomes prophetic: “I’m finding there is no suffering for me at present—even within the context of this f’d up world—so I must be enjoying the fruits of illusion! Loving it too…”

This is the most dangerous aspect: it’s comfortable. We’re floating in personalized content that makes us feel seen, understood, validated. The walls of our embedded illusions are padded with exactly the padding we’d choose.

The Creative Paradox: Art Without Artists

AI can now generate images, music, and text that are aesthetically pleasing and emotionally resonant—but without human experience behind them.

A recent art exhibition displayed works where half were AI-generated, half human-created. The gallery didn’t label which was which. Viewers couldn’t reliably distinguish them based on aesthetic merit alone.

But when revealed, something changed. The human-created works suddenly carried weight—not because they were more beautiful, but because they emerged from someone’s encounter with truth, someone’s suffering, someone’s joy. The AI works felt hollow once their origin was understood.

Kafka might say it doesn’t matter. If AI art moves us, why interrogate its origins? Dostoevsky would insist that art is about human connection—one consciousness reaching across time to touch another.

The Sisyphean Algorithm: Rolling the Boulder of Meaning Uphill

Here’s where Camus enters the conversation. Sisyphus was condemned to roll a boulder up a mountain for eternity, only to watch it roll back down each time. The gods thought this the most terrible punishment: endless, meaningless labor.

But Camus argued that we must imagine Sisyphus happy—that he finds meaning in the struggle itself, in consciousness and rebellion against absurdity.

AI offers us the opposite curse: it rolls the boulder for us. It completes our sentences, generates our ideas, produces our work. We reach the summit effortlessly, repeatedly, endlessly. But in eliminating the struggle, it eliminates the possibility of meaning.

The junior analyst generating presentations he doesn’t understand, the consultant billing hours for work he can’t explain, the artist displaying images he didn’t create—they’re all experiencing a new kind of Sisyphean punishment. Not the exhausting labor of pushing the boulder, but the existential emptiness of watching someone else push it while we collect credit at the summit.

We’ve automated the struggle and kept the absurdity. We roll nothing uphill but scroll endlessly through feeds, through AI conversations, through synthetic realities—a digital boulder that never reaches anywhere because there’s nowhere to reach.

Camus would recognize the horror: we’ve been offered relief from meaninglessness only to discover that the relief is itself meaningless.

The Epistemic Crisis: Can We Know What We Know?

AI has created an epistemic crisis where we can no longer easily distinguish between authentic and synthetic, genuine and generated, truth and sophisticated simulation.

When you read an article, can you be certain it was written by a human? For instance, did I (Craig Johnson) write this blog? Or did I just write a damn good prompt? When you see a photograph, can you trust it represents an actual moment? The answer, increasingly, is no.

AI hasn’t just created new illusions—it has made illusion inescapable. Even if we wanted to choose Dostoevsky’s path, we lack the tools to reliably identify what truth is. The Platonic cave has been rebuilt with digital projectors so sophisticated that shadows are indistinguishable from reality.

The Comfort of Not Choosing

Perhaps the most unsettling aspect is that many are choosing not to choose. Like de Cabra, they’re finding that life within the illusion is comfortable enough that the question of truth becomes academic.

This isn’t ignorance—it’s postmodern acceptance that maybe truth and illusion aren’t as distinct as Dostoevsky and Kafka believed. We’ve always lived in constructed realities; AI has simply made the construction more visible, more customizable, more comfortable.

Living with the Tension

Perhaps the answer isn’t to choose between Dostoevsky and Kafka, but to hold both truths simultaneously. To acknowledge that illusions can be kind while remaining alert to their dangers.

This requires double consciousness: engaging with AI-enhanced life while maintaining awareness that we’re engaging with AI-enhanced life. Being both participant and observer, believer and skeptic.

It means teaching our children not just how to use AI tools but how to recognize when they’re being used by them. It means cultivating distinctly human capacities: the ability to tolerate ambiguity, to sit with discomfort, to value the messy process of human understanding over polished machine generation.

And perhaps it means reclaiming our boulder. Not rejecting AI entirely, but insisting on struggles that matter—on learning things the hard way sometimes, on relationships that challenge us, on work we genuinely understand. Finding meaning not despite the absurdity, but through conscious engagement with it.

The Question Remains

The explosion of AI hasn’t resolved the ancient debate—it has made the stakes more immediate and the choices more consequential. When we let the algorithm choose our next video, our next thought, we’re choosing Kafka’s kindness. When we pause to question, to think critically, we’re choosing Dostoevsky’s suffering.

Neither choice is entirely right or wrong. But the choice itself—whether to make it consciously or let the algorithm make it for us—may be the most important decision of our time.

de Cabra may be right that we can’t fully escape our embedded illusions. But perhaps the point isn’t escape. Perhaps it’s maintaining enough awareness to know we’re inside an illusion, enough agency to occasionally step outside it, and enough wisdom to know which illusions serve our humanity and which diminish it.

The AI mirror reflects whatever we want to see. The question is whether we’re brave enough to occasionally demand it show us what we need to see instead—and whether we’re willing to push our own boulders uphill, even when the algorithm offers to do it for us.