10 Reasons against using AI

1. It Erodes Human Mastery

When we outsource thinking, writing, creating, or deciding to AI, we risk atrophying the very muscles that make mastery meaningful. Skills like judgment, synthesis, and discernment sharpen only through repeated struggle. AI’s convenience can short-circuit that process, creating “competent novices” who know what to do but not why.(See: Hubert Dreyfus, “What Computers Still Can’t Do”)

2. It Undermines Meaningful Work

Psychologist Mihaly Csikszentmihalyi’s work on flow shows that humans find deep satisfaction when challenge and skill meet. If AI removes the challenge, we lose the meaning. An artist who lets a machine generate the “final stroke” may produce beauty, but loses the becoming that artistry brings.

3. It Reduces Serendipity and Discovery

AI optimizes for efficiency, not surprise. The great leaps in history, penicillin, Velcro, the Post-it note, emerged from accidents, curiosity, and wandering. A world run by algorithms might eliminate the very inefficiencies that make discovery possible.

4. It Distorts Human Motivation

Behavioral economists warn that incentives shape identity. If AI automates recognition, writing, or even empathy, people start performing for the algorithm (hello LinkedIn - looking at you!), optimizing for metrics over meaning. In essence, we trade intrinsic motivation (purpose, curiosity, growth) for extrinsic performance (speed, accuracy, likes).

5. It Centralizes Power and Knowledge

AI systems require massive data and compute power, controlled by a handful of corporations and governments. This leads to epistemic inequality: only a few shape what the world “knows.” When human work relies on these systems, dependence replaces independence, and choice becomes illusion.

6. It Dulls Ethical Accountability

When outcomes are machine-generated, responsibility blurs. If an AI recommends a harmful business strategy or biased hiring decision, who owns the result, the coder, the company, or the user? Moral reasoning, once central to work, risks becoming a checkbox in a compliance dashboard.

7. It Dilutes Emotional Intelligence

Human work thrives on empathy, nuance, and presence, qualities not reducible to data. AI can simulate warmth but not embody it. When leaders or coaches rely on it too heavily, they may confuse linguistic mimicry with authentic connection, creating what philosopher Sherry Turkle calls “the illusion of companionship without the demands of friendship.”

8. It Trains Us to Trust the Surface

AI is confident even when wrong. We already suffer from automation bias, the tendency to over-trust machine outputs. As more work is mediated through AI, critical thinking erodes. We become fluent in accepting rather than questioning, a dangerous shift for any creative, scientific, or ethical pursuit.

9. It Flattens Diversity of Thought

AI systems reflect the median of their training data. They compress the extraordinary into the average. When businesses, educators, and creatives lean too hard on them, language, ideas, and aesthetics converge toward sameness. The result? A “beige” world, efficient, but uninspired. (Cue Apple's "Here's to the crazy ones..." ad)

10. It Threatens the Sacredness of Human Experience

There’s an ineffable quality to human labor, the love a craftsperson puts into wood, the trembling hand of a poet editing a final line, the empathy of a nurse’s touch. AI can replicate the output but not the presence. To allow machines to do all human work is to risk forgetting why we work at all: not merely to produce, but to express, connect, and become.

AI makes things easier, but meaning often hides in the difficult. The contrarian stance isn’t anti-progress; it’s a reminder that human difficulty is sacred. Or as Albert Camus put it: “The struggle itself toward the heights is enough to fill a man’s heart.”