An international team of researchers has introduced a troubling theory: the more you interact with customer service chatbots and digital assistants, the more your own communication style may shift to match machine logic. The concept, called "robotoid humanness," suggests that people unconsciously adapt their behavior to align with how artificial intelligence systems process and respond to language, potentially smoothing out the natural quirks that make human conversation unpredictable and authentic.

What Is 'Robotoid Humanness' and Why Should You Care?

Researchers from the University of Birmingham, Linnaeus University, and Aarhus University published their theoretical framework in the journal AI & Society on August 19, 2026. The study doesn't claim that people are suddenly becoming robots, but rather that a subtle feedback loop may be operating across everyday digital interactions. When users repeatedly encounter AI systems that respond predictably to certain communication patterns, they may gradually internalize those patterns and begin favoring them in their own speech and writing.

"Our research explores how dealing with these anthropomorphised robots can create a bidirectional influence, where robots become more like people, and people become more like robots, which we call 'robotoid humanness'," explained Inci Toral-Manson, a marketing researcher at the University of Birmingham.

Inci Toral-Manson, Marketing Researcher at University of Birmingham

The researchers emphasize that this is a theoretical proposition, not a proven psychological effect. The paper does not present experimental evidence showing that customer service AI makes people more robot-like. Instead, it develops a framework based on prior research about how humans interact with machines and how feedback shapes behavior.

How Does the Feedback Loop Between Humans and AI Actually Work?

The mechanism behind "robotoid humanness" centers on how AI systems respond to user input. Customer service AI can now adapt to users, personalize interactions, and mimic aspects of human communication. However, unlike human relationships where feedback can be surprising, contradictory, or difficult to control, AI feedback is shaped by algorithms and what the system can interpret.

Selcen Ozturkcan, a management engineer at Linnaeus University, described the proposed process as a feedback loop. "The consumer acts, the robot responds, and with repeated exposure, in time the consumer internalizes the exchange," Ozturkcan explained. Over time, users may begin to mirror communication patterns that elicit effective responses from the system, potentially narrowing the unpredictability that comes naturally with human interaction.

"The consumer acts, the robot responds, and with repeated exposure, in time the consumer internalizes the exchange," noted Selcen Ozturkcan, a management engineer at Linnaeus University.

Selcen Ozturkcan, Management Engineer at Linnaeus University

Steps to Understand the Broader Implications of AI-Mediated Communication

• Self-Presentation Changes: Users may gradually present themselves in ways that AI systems can process more readily, potentially altering how they construct their sense of self and identity in digital spaces.
• Communication Pattern Shifts: Repeated interactions with AI may encourage people to favor forms of communication that are easier for algorithms to understand, potentially reducing the natural variation and spontaneity in human dialogue.
• Ethical and Autonomy Concerns: The researchers raise critical questions about human autonomy and personal identity, particularly as AI systems increasingly mediate everyday interactions in customer service, healthcare, and other sectors.

The researchers also link this proposed process to how people construct a sense of self. Their theory suggests that as AI systems increasingly mediate everyday interactions, users may internalize algorithm-driven feedback and begin to present themselves in ways that a system can process more readily. This could have long-term implications for human autonomy and the normalization of reduced personhood in modern automated economies.

Why Is This Research Important If It Hasn't Been Proven Yet?

Jean-Paul de Cros Peronard, a business development scientist at Aarhus University, emphasized the importance of understanding these interactions as robots and AI become commonplace in customer service. "Understanding these interactions is important as robots and AI become commonplace in customer service, particularly so businesses can use the technology effectively while remaining ethical," de Cros Peronard noted.

"Understanding these interactions is important as robots and AI become commonplace in customer service, particularly so businesses can use the technology effectively while remaining ethical," stated Jean-Paul de Cros Peronard, a business development scientist at Aarhus University.

Jean-Paul de Cros Peronard, Business Development Scientist at Aarhus University

The paper is explicit about its limitations. It is a theoretical study rather than an experiment tracking people over time, so the proposed effects have not been established through direct testing. The researchers developed their framework based on prior research on human-robot interactions, but they acknowledge that "robotoid humanness" remains a hypothesis rather than a demonstrated psychological effect.

However, the timing of this research is significant. As AI chatbots like ChatGPT, Claude, and other large language models become integrated into customer service, healthcare, education, and workplace systems, understanding how these interactions might subtly reshape human behavior becomes increasingly urgent. The researchers' central question is whether repeated machine-mediated interactions could gradually change the way people communicate and understand themselves, a question that may take years of empirical research to answer definitively.