Gender Differences in the Use of Generative AI: Global and Georgian Reality

In recent years, generative artificial intelligence (GenAI) has rapidly spread across various sectors, but its usage patterns differ significantly by gender. Global trends show that men tend to adopt GenAI earlier, particularly for coding and data analysis, while women use it more for content creation and streamlining administrative processes. However, data from Georgia adds a more localized perspective to this picture.

According to BTU’s October 2024 research, two distinct groups stand out among male users in Georgia. One group uses GenAI intensively on a daily basis, leveraging multiple tools simultaneously to maximize its capabilities, while the other group engages with GenAI rarely—once a week or less—using only a single tool, primarily for general information rather than work-related purposes.

Among women, a higher proportion consists of users who engage with GenAI regularly—either daily or weekly—but in a more structured way, focusing on one or at most two tools tailored to their needs. These users aim to master a specific AI platform and apply it practically for work or personal tasks, rather than experimenting with multiple tools.

A slight gender difference also emerged in tool preferences. ChatGPT is the primary platform for both men and women, but Gemini is noticeably more popular among women compared to men.

Overall, the data from Georgia indicates that men’s use of GenAI swings between two extremes—either intensive and diversified engagement or infrequent and superficial use. Women, on the other hand, tend to use GenAI in a more stable and goal-oriented manner, concentrating on its needs. These differences suggest that the adoption and integration of GenAI vary significantly depending on gender. This means that GenAI usage is influenced not only by technological advancements but also by how people engage with it—some actively explore and develop its potential, while others stick to familiar functions to simplify their daily tasks.

You can find the full report BTU’s October 2024 research here.