Agentic AI Arrives: How Gen Z Adopts Autonomous AI Agents

Abstract

In the era of agentic artificial intelligence (AI), autonomous systems capable of operating in the background and intelligently performing tasks on behalf of users are rapidly emerging. However, little is known about the factors influencing user adoption of agentic systems. This study analyzes adoption intentions toward AI agents among members of Generation Z (born in 1997 or later), who are often described as early adopters of new technologies. The analysis is based on data collected through an online survey in Germany with 243 participants. Despite being the generation most accustomed to digital technologies, only about half of the respondents (49.4%) have previously interacted with agentic AI. Nevertheless, nearly 39.6% expressed interest in engaging with such technology, while only 11.1% would not want to use agentic AI at all. The PLS-SEM analysis revealed that perceived usefulness was the strongest predictor of intention to use, while perceived risk had both a significant negative direct effect on intention and an indirect effect via trust. A key finding is that although respondents expressed concerns about data privacy and reliability, (the lack of) trust did not significantly influence their intention to use AI agents. The NCA results further suggest that perceived usefulness and perceived humanness are necessary conditions for user adoption. These insights contribute to a deeper understanding of Gen Z’s attitudes toward AI agents and can inform strategies to accelerate the uptake as this technology continues to mature. We also discuss managerial and policy recommendations to guide responsible, transparent, and trustworthy application of agentic AI in society.

Ähnliche Arbeiten