The explosive growth of artificial intelligence (AI), particularly generative AI, poses opportunities and challenges gender equality. AI has the capacity to shatter cultural boundaries and build inclusive systems, yet latent algorithmic bias and gender inequality in its composition can exacerbate existing divisions. This overview delves into the ways generative AI can both perpetuate or decrease gender bias, contingent upon how responsibly it is created and deployed. AI systems tend to reflect the biases of the society they are designed from. For instance, AI recruitment tools have tended to select more male candidates because of gender-biased historical data. Generative AI, too, tends to underrepresent women in leadership positions and perpetuate stereotypes. If unregulated, these systems stand a chance of perpetuating gender imbalance across industries. In this paper, we have discussed how AI also has the potential to advance fairness. Resume-anonymizing tools, huge data set analysis to detect biased tendencies, and individualized learning plans can promote gender inclusiveness. AI can help bridge STEM access disparities for women and provide supportive mentoring networks in education. To harness these benefits, responsible AI governance is critical. Fairness audits, diverse datasets, transparency, and accountability should guide AI development. Increasing women’s participation in AI research and policymaking is also key to creating more equitable systems. Ethical AI guidelines must ensure that AI use is inclusive, fair, and non-discriminatory. Generative AI has the potential to be an effective catalyst of gender equality when coupled with ethical governance, representative data, and representation diversity, leading towards a more equitable, AI-powered world.