  Large Language Models (LLMs) such as ChatGPT have become increasingly
integrated into critical activities of daily life, raising concerns about
equitable access and utilization across diverse demographics. This study
investigates the usage of LLMs among 1,500 representative US citizens.
Remarkably, 42% of participants reported utilizing an LLM. Our findings reveal
a gender gap in LLM technology adoption (more male users than female users)
with complex interaction patterns regarding age. Technology-related education
eliminates the gender gap in our sample. Moreover, expert users are more likely
than novices to list professional tasks as typical application scenarios,
suggesting discrepancies in effective usage at the workplace. These results
underscore the importance of providing education in artificial intelligence in
our technology-driven society to promote equitable access to and benefits from
LLMs. We urge for both international replication beyond the US and longitudinal
observation of adoption.
