Short Story for beginning
A friend of mine went on a date recently. She had spent three weeks messaging someone on a dating app. His profile was an impeccable, articulate bio, well-composed photos, and thoughtful responses that referenced her interests with uncanny precision. He seemed well-read, emotionally intelligent, and genuinely curious about her life.
When she sat across from him at the restaurant, she realized within four minutes that the person in front of her bore almost no resemblance to the person she had been messaging. He could not sustain the depth of conversation his messages had promised. His photos, she later confirmed, had been enhanced by AI, not fabricated entirely, but optimized to a version of himself that did not exist outside a screen. The emotional intelligence, the literary references, the perfectly calibrated humor, all of it had been generated, refined, or at minimum heavily assisted by AI.
He was not a bad person. He was not even dishonest in the way we traditionally understand dishonesty. He had simply used the tools available to him to present the best possible version of himself. The problem was that the "best possible version" was a fiction, and it took three weeks of investment and one dinner to discover this.
I tell this story not to judge him. I tell it because at this moment, the gap between the AI-constructed self and the actual self is the defining human problem of our time. And almost nobody is talking about it.
The Speed Mismatch
Here is the fundamental equation that governs everything I am about to say:
AI is evolving faster than humans can adapt to it.
This is not a metaphor. It is measurable. Within just three years, AI reached 53% of the global population faster than smartphones, faster than the internet, faster than any technology in human history. Global student AI usage jumped from 66% in 2024 to 92% in 2025. By early 2026, an estimated 86% of all students in higher education use AI as their primary research and brainstorming tool.
But adoption is not adaptation. Using a tool is not the same as understanding what the tool does to you.
Only 13% of schools have formal AI policies. Only 41% of teachers internationally report adequate preparation for AI integration. Universities and traditional education systems are still debating whether students should be allowed to use AI, while those same students are using it to write their applications, build their portfolios, craft their personal brands, and construct their identities.
The tools are moving at exponential speed. The humans are adapting at human speed. And the distance between these two curves is where the crisis lives.
The Authenticity Collapse
Let me name the crisis precisely: AI enables people to present versions of themselves that they have not earned, lived, or become.
On dating apps, 30% of users have experimented with AI-enhanced or AI-generated profile photos. Nearly 68% of fraudulent accounts use AI chat engines capable of managing 50+ simultaneous conversations. Real-time deepfakes now allow people to adopt entirely different faces and voices during live video calls. (Some references in press)
But this is not just about dating. It is about everything.
On LinkedIn, AI generates polished thought leadership posts for people who have never led anything. On social media, AI creates articulate positions on complex topics from people who have never studied them. In professional settings, AI produces impressive presentations, proposals, and analyses that exceed the presenter's understanding.
I have seen it firsthand in my work. A business owner uses AI to generate a sophisticated strategic plan, complete with market analysis, competitive positioning, and financial projections, and then cannot answer basic questions about the assumptions behind it.
A job candidate submits an AI-polished portfolio that represents capabilities they do not possess. A consultant delivers an AI-generated report filled with frameworks they have never applied in practice.
In each case, the AI output is technically excellent. The problem is not quality. The problem is ownership. The person behind the content has not lived the knowledge it represents.
The Pseudoscience of the Self
This is where my concern becomes something deeper than a technology critique.
When AI constructs a version of you that you have not earned through experience, learning, or growth, what happens to you? Not to your audience. To you.
I believe something corrosive occurs. You begin to inhabit a gap between who you are and who your AI-constructed persona says you are. You consume your own fabrication. You start believing the bio you did not write, the expertise you did not develop, the emotional depth you did not cultivate.
This is what I call the pseudoscience of the self: AI-generated narratives about who you are that appear authentic but lack substance. They look like knowledge but are not grounded in experience. They sound like wisdom but have never been tested by failure. They feel like identity but dissolve at the first moment of real contact, like my friend's date, four minutes into dinner.
The consumer data confirms the backlash. Only 26% of consumers now prefer AI-generated content to authentic human content, down from 60% in 2023. Audiences are developing an instinct for detecting the hollow center of AI-polished personas. The "messiness" of real human expression, imperfect, specific, and earned, is becoming more valuable precisely because AI has made perfection cheap.
But the damage is not only external. The person who outsources their identity to AI loses something internal: the friction of genuine self-development. The struggle to articulate your own thoughts is how you discover what you think. The effort of crafting your own story is how you understand who you are. When AI removes that friction, it does not just produce a better output. It removes the process through which the person becomes themselves.
Nobody Taught Them
Here is what makes me angry, not at the individuals, but at the systems.
Nobody taught these people how to use AI responsibly. Nobody taught them the difference between AI as a tool for amplification and AI as a mask for deficiency. Nobody taught them that the question is not "Can AI do this for me?" but "Should AI do this for me, and what do I lose if it does?"
The education system, from K-12 through university and professional development, has catastrophically failed to address this. Schools are debating plagiarism policies while students are constructing entire identities with AI assistance. Universities are updating academic integrity codes while graduates are entering the workforce with AI-polished credentials that exceed their actual capabilities. Corporate training programs teach people how to use AI tools, but never when not to use them.
The AI literacy gap is not about technical skills. It is about judgment. And judgment is exactly what no platform, no course, and no AI system currently teaches.
Students from higher socioeconomic backgrounds use AI for high-level tasks, such as structuring arguments, conducting deep research, and developing strategic frameworks. Students from lower socioeconomic backgrounds use it for surface-level tasks, basic summaries, grammar correction, and template generation. This disparity is not about access to tools. It is about the understanding of what the tools are for. And that understanding comes from education, mentorship, and critical thinking all of which are distributed as unequally as wealth itself.
The Responsibility Is Personal
I do not have a policy solution for this. I am not sure one exists, at least not one that can keep pace with the technology.
What I do believe, with the certainty of someone who has spent years helping businesses automate and scale, is that the responsibility for the responsible use of AI is ultimately personal.
Before you use AI to write your bio, ask yourself: Can I defend every claim in this bio from my own experience? Before you use AI to generate a strategic plan, ask yourself: Do I understand every assumption well enough to explain it without the document in front of me? Before you use AI to craft your dating profile, ask yourself: Am I comfortable being the person who shows up to dinner?
These are not technical questions. They are questions of integrity. And they cannot be outsourced to a model, a policy, or a platform.
In my work with businesses, I apply this same principle to AI automation. When I help a company implement AI agents and no-code automation, I am not trying to replace what they do. I am trying to optimize the processes that already generate value, making traditional operations more efficient, finding new revenue paths, and reducing friction in workflows that the business already understands. The AI amplifies what is real. It does not fabricate what is not.
This distinction between amplification and fabrication is the most important line in the age of AI. And it is a line that each person must draw for themselves.
The Question I Cannot Answer
I started this article by saying that the speed mismatch between AI evolution and human adaptation is the defining problem of our time. I want to end by admitting that I do not have a solution.
I know that AI is extraordinary. I use it every day to help businesses scale, automate operations, and find growth opportunities they could not see before. I believe in its power genuinely.
But I also know that a tool which allows anyone to present expertise they do not have, depth they have not developed, and identities they have not earned at scale, at speed, with no friction creates a problem that technology alone cannot solve.
Who teaches the twenty-year-old that their AI-written essay, while technically superior to anything they could produce alone, has robbed them of the cognitive struggle that would have made them a better thinker? Who tells the entrepreneur that their AI-generated pitch deck, while impressive to investors, creates expectations they cannot fulfill? Who explains to the professional that their AI-polished LinkedIn presence is a promise that their actual capabilities must eventually honor?
The answer should be educators. But 87% of teachers want to integrate AI, while only 41% feel prepared to do so. The answer should be institutions. But only 13% of schools have formal AI policies. The answer should be the AI companies themselves. But their business model is built on maximizing usage, not moderating it.
So the answer, for now, falls to us. To individuals. To the person sitting with the tool, deciding what to ask it and what to preserve for themselves.
The AI will continue to get faster. The gap will continue to widen. The constructed selves will continue to proliferate. And somewhere, in a restaurant, someone will sit across from someone else and realize four minutes in that the person they came to meet does not exist.
The question is not whether AI can make us look better. It can. Effortlessly.
The question is whether we are willing to do the slower, harder, more honest work of actually becoming better and whether we can tell the difference.
---
Mana Korjei is an entrepreneur, CEO of Habitomic, and a partner at DevCraft Solutions. With years of experience in business development and project management at major telecom operators, she now helps businesses scale through AI agents and no-code automation in Toronto, Canada. Her focus: making AI serve what is real, not replace it. This is the seventh article in the "Singularity Paradox" series.
