The rapid advancement of artificial intelligence (AI), particularly tools such as Chat GPT and emerging forms of super intelligence, is transforming human-computer interaction and reshaping the future of work. This study aims to explore whether gender-based differences exist in perceptions of these technological shifts. Specifically, the research examines respondents’ views across six key constructs: Knowledge Access, Redefining Roles and Skills, Legal Research, Data Privacy, Software Development, and Augmented Productivity. The non-parametric Mann-Whitney U test was applied to assess statistically significant differences in perceptions based on gender. The findings indicate that for most constructs—including Knowledge Access (p = .327), Redefining Roles and Skills (p = .433), Legal Research (p = .756), Software Development (p = .227), and Augmented Productivity (p = .632)—there were no statistically significant differences in perception between male and female respondents. This suggests a general consensus across genders in recognizing the transformative potential of AI in these domains. However, a significant difference was observed in the Data Privacy construct (p = .025), indicating that gender influences how data privacy issues in AI applications are perceived. Female respondents reported slightly higher concerns compared to their male counterparts. The results support the conclusion that while gender does not significantly affect perceptions of AI in most work-related areas, it does play a role in shaping concerns around data privacy. These insights are valuable for developers, policymakers, and educators working to promote equitable and inclusive AI integration in professional settings. Understanding gender-specific concerns—especially in sensitive areas such as data privacy—can help tailor strategies for responsible AI adoption and ensure that technological advancements align with diverse user expectations and ethical standards. Further research is recommended to explore the underlying factors contributing to these gendered perceptions