Survey: the chatbot gender adoption gap among US adults has closed since 2024, though men are more likely to use them daily; ChatGPT has identical usage rates
Note: This analysis is an excerpt from a broader June 2026 study about Americans and artificial intelligence. — About this research
Context & Ripple Effects
Pew's measurements trace chatbot use from a 2023 phase in which 58% of US adults had heard of ChatGPT but only 14% had tried it, through sharply higher reported use in 2024. By June 2026, 49% of US adults reported using chatbots, while 24% said they used them daily. The new gender result distinguishes broad access from habitual use: ChatGPT reaches men and women equally by reported use, but daily chatbot use still differs.
First-order effects
- For ChatGPT, identical reported use among US men and women makes gender a weaker indicator of the service's reach among adults.
- The remaining distinction is intensity: men’s higher daily chatbot use means adoption totals alone do not describe how frequently each group engages with chatbots.
Second-order effects
- Analyses of ChatGPT’s audience need to separate reported adoption from daily use, since the June survey’s 49% overall chatbot-use figure and 24% daily-use figure already show that reach is much wider than routine use.
- Products and researchers using gender to segment chatbot users have less basis to treat men and women as different adoption markets, while frequency-based segmentation remains relevant.
Third-order effects
- If broad adoption continues to converge across demographic groups, consumer chatbot competition will be measured less by who has tried a service and more by whether it becomes part of regular routines.
- The survey arc—from limited experimentation in 2023 to broad reported chatbot use in 2026—points to a maturing consumer-assistant market in which engagement depth is the more meaningful remaining divide.
The trend: Consumer chatbots are moving from uneven early experimentation toward broad demographic reach, with daily use becoming the sharper measure of adoption quality.