The Humanoid Face of AI: An Opportunity or a “Uncanny Valley” for Brands?
Chapter from the book: Önen, V. (ed.) 2026. Artificial Intelligence Applications in Marketing Management.

Ayben Ceyhan Günay
İstanbul Nişantaşı University

Synopsis

This study examines the anthropomorphic representations of artificial intelligence in marketing and analyzes whether these technologies constitute an opportunity or a risk—particularly through the lens of the Uncanny Valley—for brands. The study focuses on how AI, especially through virtual influencers, serves as the “human-like face” of brands and how the balance between human likeness and consumer acceptance is established in this context.

A conceptual framework is developed based on anthropomorphism, the Computers Are Social Actors (CASA) paradigm, and the Uncanny Valley theory. The study adopts a qualitative, conceptual research design grounded in an extensive literature review. Findings reveal that consumer perceptions of AI-based brand representatives are shaped not only by technological capabilities but also by psychological factors such as perceived humanness, self-congruity, trust, authenticity, and parasocial interaction. Furthermore, while a moderate level of human likeness enhances brand-related outcomes, excessive realism may trigger the Uncanny Valley effect, negatively influencing brand perception.

The study contributes to the literature by emphasizing the strategic importance of optimal anthropomorphism in AI-driven brand communication. From a managerial perspective, it offers practical implications for brands, highlighting the need to balance human-like design with consumer comfort and to prioritize transparency, authenticity, and brand alignment in AI-based applications.

How to cite this book

Ceyhan Günay, A. (2026). The Humanoid Face of AI: An Opportunity or a “Uncanny Valley” for Brands?. In: Önen, V. (ed.), Artificial Intelligence Applications in Marketing Management. Özgür Publications. DOI: https://doi.org/10.58830/ozgur.pub1323.c5293

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Published

June 11, 2026

DOI