Researchers publishing in AI & Society have proposed that prolonged interaction with customer-support AI systems may inadvertently reshape how users communicate and present themselves, a phenomenon they term "robotoid humanness." The theoretical framework suggests a bidirectional influence: as AI becomes increasingly anthropomorphized to mimic human gestures, speech, and emotional cues, users unconsciously mirror these patterns back, gradually adopting more algorithmically-optimized versions of themselves. The mechanism operates through repeated reinforcement—customers internalize exchanges where the AI responds predictably to certain communicative patterns, and over time, implicitly drift toward the identity that generates the most affirming, algorithm-driven feedback. Critically, this differs fundamentally from human social feedback, which remains unpredictable and uncontrolled; AI interactions reward consistency and edge-smoothing, potentially narrowing the range of distinctly human expression users employ.
The implications for CX teams warrant serious consideration, particularly given that AI spending by customer service leaders has surged 38% despite overall support budgets rising just 2%. If this theoretical framework holds empirical weight, teams deploying AI-first strategies across Zendesk, Freshdesk, or Salesforce environments may inadvertently be conditioning customers toward transactional, less emotionally-nuanced interactions—precisely the opposite of differentiation most CX leaders claim to pursue. The question becomes whether the efficiency gains from AI-mediated support justify potential long-term erosion of the human authenticity that drives loyalty and advocacy. For teams already embedded in these platforms, this suggests the need for deliberate design choices: hybrid models that preserve human touchpoints for emotionally-complex issues, conversation design that actively encourages customer personality rather than algorithmic conformity, and measurement frameworks that track not just resolution metrics but shifts in how customers express themselves over time.
The research remains entirely theoretical with no longitudinal testing, yet it aligns with broader concerns about AI's cognitive effects. The authors explicitly call for businesses to understand these dynamics "to use the technology at their disposal to best effect, whilst remaining ethical"—a framing that positions CX leaders not as passive adopters but as stewards of customer identity. For support teams, this means interrogating whether your AI implementations are genuinely enhancing customer experience or simply optimizing for machine-readable inputs at the expense of human complexity.
Interacting With AI Might Make You Act 'More Robot-Like', Researchers Warn ScienceAlert