ChatGPT is used most widely among those between ** and ** around the world. The youngest group, those under **, are the second largest userbase, and together those under ** account for over ** percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over ** percent of total users in 2023.

According to a survey of adults in the United States conducted in January 2023, ** percent of respondents age between 30 to 44 years old claimed to have used ChatGPT to generate text themselves. In comparison, 48 percent of respondents aged between 18 and 29 years old and another ** percent of respondents aged between 30 to 44 years old reported having seen text being generated by the AI technology for someone else. Meanwhile, ** percent of those older than 65 years old respondents claimed to have never used nor seen anyone else use it.

Unsurprisingly, those between 18 and 24 were the most likely to use ChatGPT among the various age groups, with ** percent of respondents saying so. This is likely due to younger people adopting tech at a faster rate than older generations.

This dataset presents ChatGPT usage patterns across different age groups, showing the percentage of users who have followed its advice, used it without following advice, or have never used it, based on a 2025 U.S. survey.

As of June 2025, the largest group of ChatGPT users in Poland was people aged ********.

A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N=1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022). Guided by a model of technology acceptance (UTAUT-2), we examine the role of socio-demographics commonly associated with the digital divide in ChatGPT activity and explore further socio-political attributes identified via stability selection in Lasso regressions. We confirm that lower age and higher education affect ChatGPT usage, but neither gender nor income do. We find full-time employment and more children to be barriers to ChatGPT activity. Using a variety of social media was positively associated with ChatGPT activity. In terms of political variables, political knowledge and political self-efficacy as well as some political behaviors such as voting, debating political issues online and offline and political action online were all associated with ChatGPT activity, with online political debating and political self-efficacy negatively so. Finally, need for cognition and communication skills such as writing, attending meetings, or giving presentations, were also associated with ChatGPT engagement, though chairing/organizing meetings was negatively associated. Our research informs efforts to address digital disparities and promote digital literacy among underserved populations by presenting implications, recommendations, and discussions on ethical and social issues of our findings.

According to a survey conducted in Japan in June 2023, **** percent of boys and **** percent of girls aged 15 to 19 years old were to varying degrees inclined to use the OpenAI chatbot ChatGPT in the future. While this age group had the highest share of people who were interested in using ChatGPT among male respondents, women in their twenties showed a slightly higher interest in the chatbot than teenage girls.

This dataset presents ChatGPT usage patterns across U.S. Census regions, based on a 2025 nationwide survey. It tracks how often users followed, partially used, or never used ChatGPT by state region.

This dataset shows how men and women in the U.S. reported using ChatGPT in a 2025 survey, including whether they followed its advice or chose not to use it.

The largest monthly reach of Chat GPT was generated by Poles aged between ********* in January 2025.

This dataset shows the types of advice users sought from ChatGPT based on a 2025 U.S. survey, including education, financial, medical, and legal topics.

With the rapid rise of artificial intelligence (AI) chatbots like ChatGPT, concerns about their overuse and potential psychological impacts are growing. This study investigates social-ecological factors associated with the use and dependence on AI chatbots. A cross-sectional online survey was conducted with 981 participants in China. Variables across four dimensions – individual characteristics, individual behaviors, interpersonal networks, and regional factors – were analyzed using generalized linear models. Results showed that AI chatbot use was positively associated with urban residence, regular exercise, solitary leisure preferences, younger age, higher education, and longer sleep duration. Usage frequency was linked to regular sleep patterns, efficient work habits, younger age, higher family income, larger social networks, and fewer family members. Problematic use and dependence were more likely among males, science majors, individuals with regular exercise and sleep patterns, and those from regions with lower employment rates. These findings offer theoretical and practical insights for future research, including variable selection, stratified sampling, and targeted interventions.

A survey conducted in 2025 among shoppers showed that almost 60 percent of gen Z consumers have used AI shopping assistants or ChatGPT to help them with their online purchases. 48 percent of Millennials reported the same habit.

According to a survey conducted in 2023, over ** percent of South Koreans in Generation X had experience using ChatGPT. Released in November 2022, the Artificial Intelligence (AI) chatbot has rapidly become a disruptive presence in the business landscape. In the same survey, AI and robotics were also chosen by respondents as the most promising industries for the near future.

A comparative table of response and citation characteristics for ChatGPT and Google AI Overview in 2025, including response length, sentence length, number of sources, duplication rate, domain overlap, subjectivity, readability, AI marker usage, domain age share, and semantic similarity.

Within a year of its launch, ChatGPT has seen a surge in popularity. While many are drawn to its effectiveness and user-friendly interface, ChatGPT also introduces moral concerns, such as the temptation to present generated text as one’s own. This led us to theorize that personality traits such as Machiavellianism and sensation-seeking may be predictive of ChatGPT usage. We launched two online questionnaires with 2,000 respondents each, in September 2023 and March 2024, respectively. In Questionnaire 1, 22% of respondents were students, and 54% were full-time employees; 32% indicated they used ChatGPT at least weekly. Analysis of our ChatGPT Acceptance Scale revealed two factors, Effectiveness and Concerns, which correlated positively and negatively, respectively, with ChatGPT use frequency. A specific aspect of Machiavellianism (manipulation tactics) was found to predict ChatGPT usage. Questionnaire 2 was a replication of Questionnaire 1, with 21% students and 54% full-time employees, of which 43% indicated using ChatGPT weekly. In Questionnaire 2, more extensive personality scales were used. We found a moderate correlation between Machiavellianism and ChatGPT usage (r = .22) and with an opportunistic attitude towards undisclosed use (r = .30), relationships that largely remained intact after controlling for gender, age, education level, and the respondents’ country. We conclude that covert use of ChatGPT is associated with darker personality traits, something that requires further attention.

This dataset summarizes how ChatGPT users rated the outcomes of the advice they received, including whether it was helpful, harmful, neutral, or uncertain, based on a 2025 U.S. survey.

As large language models (LLMs) such as GPT have become more accessible, concerns about their potential effects on students’ learning have grown. In data science education, the specter of students’ turning to LLMs raises multiple issues, as writing is a means not just of conveying information but of developing their statistical reasoning. In our study, we engage with questions surrounding LLMs and their pedagogical impact by: (a) quantitatively and qualitatively describing how select LLMs write report introductions and complete data analysis reports; and (b) comparing patterns in texts authored by LLMs to those authored by students and by published researchers. Our results show distinct differences between machine-generated and human-generated writing, as well as between novice and expert writing. Those differences are evident in how writers manage information, modulate confidence, signal importance, and report statistics. The findings can help inform classroom instruction, whether that instruction is aimed at dissuading the use of LLMs or at guiding their use as a productivity tool. It also has implications for students’ development as statistical thinkers and writers. What happens when they offload the work of data science to a model that doesn’t write quite like a data scientist? Supplementary materials for this article are available online.

This dataset shows the percentage of U.S. adults who say they trust ChatGPT more than a human expert, based on a 2025 national AI trust survey.

According to a 2024 survey, younger age groups are more likely to use AI tools like ChatGPT to research purchases. The age group between 18 and 24 was the most likely, with around **** of them. The 25 to 34-year-old age group ranked second, with roughly ** percent of them having used AI tools to research purchases. These kinds of AI-powered tools were least likely to be used by the age group 55 to 64.