Artificial intelligence (AI) is reshaping society, raising concerns about its impact on inequality. This article explores how AI can both exacerbate and mitigate inequality, focusing on labor markets, education, healthcare, and access to resources. AI-driven automation risks job displacement and wage polarization, while algorithmic biases can reinforce discrimination. However, AI also offers opportunities to enhance efficiency, accessibility, and affordability in key sectors, potentially reducing disparities. Ethical AI development and responsible governance are crucial to ensure fairness, transparency, and accountability. Disparities in AI access and adoption, driven by socioeconomic, geographic, and digital factors, highlight the need for policies promoting digital inclusion and equitable access. Ethical concerns, including AI bias and privacy issues, require careful regulation and diverse representation in AI development. Education and skill development are essential for preparing individuals for the AI era, ensuring they can adapt to changing labor markets. Recommendations include investing in education, promoting digital inclusion, developing ethical guidelines, and ensuring equitable access to AI tools. Addressing AI-induced inequalities requires collaboration among policymakers, industry stakeholders, educators, and civil society to create a more equitable and inclusive society.Artificial intelligence (AI) is reshaping society, raising concerns about its impact on inequality. This article explores how AI can both exacerbate and mitigate inequality, focusing on labor markets, education, healthcare, and access to resources. AI-driven automation risks job displacement and wage polarization, while algorithmic biases can reinforce discrimination. However, AI also offers opportunities to enhance efficiency, accessibility, and affordability in key sectors, potentially reducing disparities. Ethical AI development and responsible governance are crucial to ensure fairness, transparency, and accountability. Disparities in AI access and adoption, driven by socioeconomic, geographic, and digital factors, highlight the need for policies promoting digital inclusion and equitable access. Ethical concerns, including AI bias and privacy issues, require careful regulation and diverse representation in AI development. Education and skill development are essential for preparing individuals for the AI era, ensuring they can adapt to changing labor markets. Recommendations include investing in education, promoting digital inclusion, developing ethical guidelines, and ensuring equitable access to AI tools. Addressing AI-induced inequalities requires collaboration among policymakers, industry stakeholders, educators, and civil society to create a more equitable and inclusive society.