Generation Z is increasingly adopting artificial intelligence as a tool for productivity and creativity while simultaneously expressing growing skepticism about the technology [1, 2].
This divide reflects a broader tension between the efficiency of generative AI and concerns over ethical implications and a loss of human control. As the first digitally native generation enters the professional workforce, their relationship with AI may determine how industries integrate automation.
Some members of Gen Z view AI as a collaborative partner. Entrepreneurs in the age group are leveraging these tools to launch businesses and gain a competitive edge in the job market [1, 3]. This adoption extends to personal development and niche hobbies. Marisol Jimenez, a 23-year-old [4] graduate student and novice power lifter, used the internet and AI tools for heavy-lifting tips because she lacked the budget for a personal trainer [4].
Other narratives suggest a push-back against the technology. Some young adults express skepticism about the future impact of AI, a sentiment that serves as a reminder that the future of technology is not yet written [2]. These concerns often center on the loss of authenticity, and the potential for AI to displace human creativity.
Even established figures in the arts have noted the utility of these tools for specific technical tasks. Martin Scorsese said he would embrace AI for storyboarding [2]. This suggests a middle ground where AI handles the structural groundwork while humans maintain creative direction.
Despite the contradictions in how the generation perceives AI, the tools are becoming deeply embedded in daily life. Gen Z continues to use generative AI for creative projects, personal productivity, and navigating the modern economy [1, 3].
“Gen Z is pushing back against AI, expressing skepticism about its future impact.”
The conflicting attitudes among Gen Z indicate that AI adoption is not monolithic. While the generation possesses the technical literacy to use AI for economic gain and personal efficiency, they are also the most likely to question the systemic ethics of its deployment. This tension suggests that future AI integration will likely be characterized by a hybrid approach—using automation for rote tasks while aggressively protecting human-centric creative and emotional labor.
