It used to be our imperfect bodies that made us insecure. With AI, it's our minds as well
The article extends Masahiro Mori's "uncanny valley" concept from humanoid robots to humans themselves, arguing that people are increasingly resembling AI and machines in appearance, speech, and behavior Günther Anders' 1956 theory of "obsolescence of the human" is revisited: humans develop self-contempt when confronted with technological perfection and aspire to become standardized, optimized products A 2025 Max Planck Institute study of 360,000 YouTube videos and 772,000 podcasts found that po
Analysis
TL;DR
- The article extends Masahiro Mori's "uncanny valley" concept from humanoid robots to humans themselves, arguing that people are increasingly resembling AI and machines in appearance, speech, and behavior
- Günther Anders' 1956 theory of "obsolescence of the human" is revisited: humans develop self-contempt when confronted with technological perfection and aspire to become standardized, optimized products
- A 2025 Max Planck Institute study of 360,000 YouTube videos and 772,000 podcasts found that post-ChatGPT, people adopted AI-preferred vocabulary (e.g., "delve," "boast," "meticulous") far more frequently in spoken language
- The author describes a self-reinforcing cycle: as AI improves at imitating humans minus their flaws, humans perceive their own minds as defective and increasingly mimic technology
- The author argues that the lingering unease of the uncanny valley should be cultivated rather than eliminated, as it represents a vital recognition of self-alienation and a starting point for resistance
Why It Matters
This article offers a critical philosophical framework for understanding the psychological and cultural impact of AI on human identity, going beyond technical discussions to address how AI is reshaping self-perception and social behavior. For AI practitioners and researchers, it highlights the importance of considering the broader societal implications of increasingly human-like AI systems and the risk of accelerating human self-alienation.
Technical Details
- The article references Masahiro Mori's 1970 "uncanny valley" theory, which describes the discomfort people feel when encountering entities that closely but imperfectly resemble humans
- Günther Anders' 1956 work "The Obsolescence of the Human" is cited, arguing that technological progress induces a novel form of self-contempt as humans compare their "bodily clumsiness" to machine perfection
- A 2025 Max Planck Institute for Human Development study analyzed 360,000 YouTube videos and 772,000 podcasts, documenting a measurable shift in human language patterns toward AI-preferred vocabulary after ChatGPT's public launch
- The article connects cosmetic surgery trends (contoured faces, Botox lips, looksmaxxing) to the logic of product design—symmetry, standardization, and optimizability—extending Anders' argument from physical to cognitive domains
- The author identifies a "vicious cycle" mechanism: AI imitation improves → humans perceive their flaws more acutely → humans mimic AI → the boundary between human and machine blurs further
Industry Insight
- AI developers and product teams should be aware that increasingly polished, human-like AI outputs may inadvertently encourage users to devalue authentic human imperfection in communication, creativity, and self-expression
- The measurable linguistic shift documented by the Max Planck study suggests that AI influence on human behavior is already quantifiable; companies should monitor for similar patterns in user-generated content and engagement metrics
- The philosophical concern raised here has direct implications for AI ethics and regulation: as the line between human and machine output blurs, there may be growing demand for transparency standards, authenticity labeling, and safeguards against cognitive self-alienation
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